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DTSTART;TZID=Europe/Paris:20241127T090000
DTEND;TZID=Europe/Paris:20241127T140000
DTSTAMP:20260514T002504
CREATED:20241118T112343Z
LAST-MODIFIED:20241118T115139Z
UID:10000060-1732698000-1732716000@charm-eu.eu
SUMMARY:Which and How Many Engineers for Tomorrow?
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/which-and-how-many-engineers-for-tomorrow/
LOCATION:Maison Irène et Frédéric Joliot Curie\, Rue du Trône 100\, Brussels\, Maison Irène et Frédéric Joliot Curie\, Rue du Trône\, Brussels\, Belgium
CATEGORIES:Mobility
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241121T140000
DTEND;TZID=Europe/Paris:20241122T173000
DTSTAMP:20260514T002504
CREATED:20241118T133100Z
LAST-MODIFIED:20241118T133148Z
UID:10000062-1732197600-1732296600@charm-eu.eu
SUMMARY:The transformative impact of CIVICA on global challenges | Knowledge and Informal Diplomacy
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/the-transformative-impact-of-civica-on-global-challenges-knowledge-and-informal-diplomacy-2/
LOCATION:Montpellier
CATEGORIES:Learning
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241121T103000
DTEND;TZID=Europe/Paris:20241121T183000
DTSTAMP:20260514T002504
CREATED:20241118T151532Z
LAST-MODIFIED:20241118T151654Z
UID:10000063-1732185000-1732213800@charm-eu.eu
SUMMARY:EuroTeQ Day: Innovative teaching\, stays abroad\, and the best of European university cooperation
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/euroteq-day-innovative-teaching-stays-abroad-and-the-best-of-european-university-cooperation/
LOCATION:Montpellier
CATEGORIES:Learning
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241119
DTEND;VALUE=DATE:20241121
DTSTAMP:20260514T002504
CREATED:20241010T152206Z
LAST-MODIFIED:20241213T094111Z
UID:10000052-1731974400-1732147199@charm-eu.eu
SUMMARY:Language Teaching Meet-up
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/language-teaching-meet-up/
LOCATION:Åbo Akademi University\, Tuomiokirkontori 3\, Turku\, 20500\, Finland
CATEGORIES:Inter-Institutional Working Groups,Interculturality,Teaching
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241118
DTEND;VALUE=DATE:20241120
DTSTAMP:20260514T002504
CREATED:20241118T101334Z
LAST-MODIFIED:20241118T102139Z
UID:10000059-1731888000-1732060799@charm-eu.eu
SUMMARY:European University Alliances as a model of transnational cooperation
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/european-university-alliances-as-a-model-of-transnational-cooperation/
LOCATION:Montpellier
CATEGORIES:Select General Information General Information
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241115T083000
DTEND;TZID=Europe/Paris:20241129T114500
DTSTAMP:20260514T002504
CREATED:20241029T063752Z
LAST-MODIFIED:20241029T083130Z
UID:10000054-1731659400-1732880700@charm-eu.eu
SUMMARY:Blended Learning Workshop for Academic Staff\, by JMU
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/blended-learning-workshop-for-academic-staff-by-jwmu/
LOCATION:Montpellier
CATEGORIES:Teaching
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241106
DTEND;VALUE=DATE:20241108
DTSTAMP:20260514T002504
CREATED:20241031T091628Z
LAST-MODIFIED:20241031T091709Z
UID:10000056-1730851200-1731023999@charm-eu.eu
SUMMARY:The Africa Charter: Advancing transformative research collaborations between Africa and the rest of the world
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/the-africa-charter-advancing-transformative-research-collaborations-between-africa-and-the-rest-of-the-world/
LOCATION:Montpellier
CATEGORIES:Research
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241105
DTEND;VALUE=DATE:20241107
DTSTAMP:20260514T002504
CREATED:20240925T102541Z
LAST-MODIFIED:20251008T105541Z
UID:10000041-1730764800-1730937599@charm-eu.eu
SUMMARY:CHARM-EU DAYS 2024
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/charm-eu-days-2024/
LOCATION:Montpellier
CATEGORIES:CHARM event,Interculturality,Learning,Mobility,Sustainability
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241105
DTEND;VALUE=DATE:20241107
DTSTAMP:20260514T002504
CREATED:20240708T171443Z
LAST-MODIFIED:20241004T062650Z
UID:10000022-1730764800-1730937599@charm-eu.eu
SUMMARY:CHARM-EU Cultural Festival 2024
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/charm-eu-cultural-festival-2024/
LOCATION:ELTE Faculty of Humanities\, Múzeum krt. 4.\, 6–8.\, Budapest\, 1088\, Hungary
CATEGORIES:CHARM event
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/07/charmeu-annualconference-design24-WEB-BANNERS-CF.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241105
DTEND;VALUE=DATE:20241106
DTSTAMP:20260514T002504
CREATED:20240615T140013Z
LAST-MODIFIED:20251008T105507Z
UID:10000005-1730764800-1730851199@charm-eu.eu
SUMMARY:CHARM-EU Annual Conference 2024
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/charm-eu-annual-conference-2024/
LOCATION:Eötvös Loránd University Budapest\, Egyetem tér 1-3\, Budapest\, 1053\, Hungary
CATEGORIES:CHARM event,Sustainability
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/06/AC24-preliminary-banner.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241031T180000
DTEND;TZID=Europe/Paris:20241031T180000
DTSTAMP:20260514T002504
CREATED:20241029T090454Z
LAST-MODIFIED:20241029T090543Z
UID:10000055-1730397600-1730397600@charm-eu.eu
SUMMARY:Policy interventions for a sustainable food supply chain: where are we now?
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/policy-interventions-for-a-sustainable-food-supply-chain-where-are-we-now/
LOCATION:Montpellier
CATEGORIES:Sustainability
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/10/lecture-policy-intervention-for-a-sustainable-food-supply.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241030T090000
DTEND;TZID=Europe/Paris:20241030T173000
DTSTAMP:20260514T002504
CREATED:20241010T151509Z
LAST-MODIFIED:20241010T151509Z
UID:10000051-1730278800-1730309400@charm-eu.eu
SUMMARY:AccesibleEU European Event
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/accesibleeu-european-event/
LOCATION:University of Porto\, Porto\, Portugal
CATEGORIES:Learning,Teaching
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241023T090000
DTEND;TZID=Europe/Paris:20241023T223000
DTSTAMP:20260514T002504
CREATED:20241004T090030Z
LAST-MODIFIED:20241017T065511Z
UID:10000047-1729674000-1729722600@charm-eu.eu
SUMMARY:EC2U Forum | Higher Education Round Table
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/ec2u-forum-higher-education-round-table/
LOCATION:Montpellier
CATEGORIES:Governance
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20241022T110000
DTEND;TZID=Europe/Helsinki:20241022T123000
DTSTAMP:20260514T002504
CREATED:20241007T100527Z
LAST-MODIFIED:20241010T150512Z
UID:10000048-1729594800-1729600200@charm-eu.eu
SUMMARY:Communicating with integrity | LERU
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/communicating-with-integrity-online-launch-event/
LOCATION:
CATEGORIES:Interculturality,Research
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/10/communicating-with-integrity.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20241021T160000
DTEND;TZID=Europe/Helsinki:20241021T180000
DTSTAMP:20260514T002504
CREATED:20241010T131734Z
LAST-MODIFIED:20251008T105451Z
UID:10000049-1729526400-1729533600@charm-eu.eu
SUMMARY:CHARM-EU DEN International Pitches
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/charm-eu-den-international-pitches/
LOCATION:https://charm-eu.eu/event/charm-eu-den-international-pitches/
CATEGORIES:CHARM event,Innovation,Mobility,Sustainability
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241017T100000
DTEND;TZID=Europe/Paris:20241017T140000
DTSTAMP:20260514T002504
CREATED:20241010T144811Z
LAST-MODIFIED:20241010T144811Z
UID:10000050-1729159200-1729173600@charm-eu.eu
SUMMARY:University of Barcelona | Mobility Fair
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/university-of-barcelona-mobility-fair/
LOCATION:Edifici Històric\, Universitat de Barcelona\, Pl. de la Universitat\, L'Eixample\, Barcelona\, Catalunya\, 08007\, Spain
CATEGORIES:Learning
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241004T090000
DTEND;TZID=Europe/Paris:20241004T130000
DTSTAMP:20260514T002504
CREATED:20240923T075221Z
LAST-MODIFIED:20240923T075221Z
UID:10000037-1728032400-1728046800@charm-eu.eu
SUMMARY:European University Alliances event - Lessons learnt from SwafS projects and ways forward
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/european-university-alliances-event-lessons-learnt-from-swafs-projects-and-ways-forward/
LOCATION:Montpellier
CATEGORIES:Interculturality,Learning,Mobility,Research
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/09/671456b5-42bc-92d8-c5ea-81cd3b9d15a5.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240925T090000
DTEND;TZID=Europe/Helsinki:20240925T130000
DTSTAMP:20260514T002504
CREATED:20240913T094555Z
LAST-MODIFIED:20240925T085353Z
UID:10000026-1727254800-1727269200@charm-eu.eu
SUMMARY:Conference: Integrated approaches to fight colorectal cancer
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/conference-integrated-approaches-to-fight-colorectal-cancer/
LOCATION:Montpellier
CATEGORIES:CHARM event,Research
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/09/SAVE_THE_DATE_Conf_Hub_2024_V4.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240925
DTEND;VALUE=DATE:20240926
DTSTAMP:20260514T002504
CREATED:20240925T085229Z
LAST-MODIFIED:20251008T105404Z
UID:10000040-1727222400-1727308799@charm-eu.eu
SUMMARY:Graduation students 2nd cohort - Master's programme in Global Challenges for Sustainability
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/charm-eu-graduation-2nd-cohort/
LOCATION:Trinity College Dublin\, College Green\, Dublin\, Ireland
CATEGORIES:CHARM event,Learning,Sustainability
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240923
DTEND;VALUE=DATE:20240925
DTSTAMP:20260514T002504
CREATED:20240907T062433Z
LAST-MODIFIED:20240911T081741Z
UID:10000025-1727049600-1727222399@charm-eu.eu
SUMMARY:Networking event: ELTE Hosts the CHARM-EU Libraries' Meeting
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/networking-event-elte-hosts-the-charm-eu-libraries-meeting/
LOCATION:Eötvös Loránd University Budapest\, Egyetem tér 1-3\, Budapest\, 1053\, Hungary
CATEGORIES:CHARM event,Innovation,Research
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/09/CHARM-www-libraries-meetup.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240917T084500
DTEND;TZID=Europe/Helsinki:20240917T130000
DTSTAMP:20260514T002504
CREATED:20240913T100437Z
LAST-MODIFIED:20250210T170354Z
UID:10000027-1726562700-1726578000@charm-eu.eu
SUMMARY:Internationalisation of European Universities Alliances: the new frontiers
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/internationalisation-of-european-universities-alliances-the-new-frontiers/
LOCATION:Montpellier
CATEGORIES:CHARM event,Governance,Interculturality
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/09/toulousebanner.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240912
DTEND;VALUE=DATE:20240915
DTSTAMP:20260514T002504
CREATED:20240925T083501Z
LAST-MODIFIED:20240925T083820Z
UID:10000039-1726099200-1726358399@charm-eu.eu
SUMMARY:EUSAF – European Universities Student Ambassadors’ Forum 2024
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/eusaf-european-universities-student-ambassadors-forum-2024/
LOCATION:Warsaw\, Poland\, Poland
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240515
DTEND;VALUE=DATE:20240517
DTSTAMP:20260514T002504
CREATED:20240626T130637Z
LAST-MODIFIED:20240913T115501Z
UID:10000021-1715731200-1715903999@charm-eu.eu
SUMMARY:Networking event: Applied Data Science Days 2024
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/networking-event-applied-data-science-days-2024/
LOCATION:Utrecht University\, Heidelberglaan 8\, Utrecht\, Netherlands
CATEGORIES:CHARM event
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/06/Untitled-1440-x-1000-px.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240305T080000
DTEND;TZID=Europe/Paris:20240305T170000
DTSTAMP:20260514T002504
CREATED:20240626T130226Z
LAST-MODIFIED:20240729T124211Z
UID:10000020-1709625600-1709658000@charm-eu.eu
SUMMARY:Unlocking the transformative potential of the European Degree Label
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/unlocking-the-transformative-potential-of-the-european-degree-label/
LOCATION:Montpellier
ATTACH;FMTTYPE=image/jpeg:https://charm-eu.eu/wp-content/uploads/2024/06/ED-AFFICHE-Banners-Articles-7922-x-3155-px-4-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240131T080000
DTEND;TZID=Europe/Paris:20240202T170000
DTSTAMP:20260514T002504
CREATED:20240626T125724Z
LAST-MODIFIED:20251008T105332Z
UID:10000019-1706688000-1706893200@charm-eu.eu
SUMMARY:Grand Finale 2024
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/grand-finale-2024/
LOCATION:Universitat de Barcelona\, 585 Gran Via de les Corts Catalanes\, Barcelona\, Spain
CATEGORIES:CHARM event,Sustainability
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/06/Articles-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240129T080000
DTEND;TZID=Europe/Paris:20240130T170000
DTSTAMP:20260514T002504
CREATED:20240612T090917Z
LAST-MODIFIED:20240729T124236Z
UID:10000004-1706515200-1706634000@charm-eu.eu
SUMMARY:CHARM-EU Life Sciences Network meeting
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/charm-eu-life-sciences-network-meeting/
LOCATION:Faculty of Biology of University of Barcelona\, Av. Diagonal\, 643\, Barcelona\, Spain
CATEGORIES:CHARM event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231130
DTEND;VALUE=DATE:20231202
DTSTAMP:20260514T002504
CREATED:20240708T181111Z
LAST-MODIFIED:20240729T124258Z
UID:10000023-1701302400-1701475199@charm-eu.eu
SUMMARY:SCIENCE WITH AND FOR SOCIETY IN EUROPEAN UNIVERSITIES ALLIANCES
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/science-with-and-for-society-in-european-universities-alliances/
LOCATION:Montpellier
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/07/9601x3201-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231122T080000
DTEND;TZID=Europe/Paris:20231122T170000
DTSTAMP:20260514T002504
CREATED:20240626T101019Z
LAST-MODIFIED:20240729T124310Z
UID:10000018-1700640000-1700672400@charm-eu.eu
SUMMARY:ED-AFFICHE Mid-Term meeting
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/ed-affiche-mid-term-meeting/
LOCATION:Montpellier
ATTACH;FMTTYPE=image/jpeg:https://charm-eu.eu/wp-content/uploads/2024/06/ED-AFFICHE-Banners-Articles-7922-x-3155-px-2-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231115
DTEND;VALUE=DATE:20231116
DTSTAMP:20260514T002504
CREATED:20240913T121809Z
LAST-MODIFIED:20240913T121809Z
UID:10000036-1700006400-1700092799@charm-eu.eu
SUMMARY:5th national interdisciplinary education conference
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/5th-national-interdisciplinary-education-conference/
LOCATION:Montpellier
CATEGORIES:Learning
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231107T080000
DTEND;TZID=Europe/Paris:20231107T170000
DTSTAMP:20260514T002504
CREATED:20240626T090044Z
LAST-MODIFIED:20250211T161025Z
UID:10000017-1699344000-1699376400@charm-eu.eu
SUMMARY:CHARM-EU Annual Conference 2023
DESCRIPTION:This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.  Through hands-on workshops\, participants will collaborate\, reflect\, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.  PARTICIPANTS: Teachers\, researchers\, and educators from European Faculties of Education 								\n				\n				\n				\n					PROGRAMME				\n				\n				\n				\n							\n						\n				\n					 Pre-Seminar Online Kickoff (May 6 2026\, 14-16 CET)  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									Format: 2-hour virtual session   Topic: welcome and sharing practices\, thematic group formation  Introduce participants and share GenAI-related experiences Map current challenges\, opportunities\, and institutional expectations Select thematic focus areas for collaborative work Agenda:  Welcome & Introductions – 10 min. Icebreaker – 10 min Topic presentation – World café format with interactive board – 1h 20 min Sharing Practices & Challenge\, expectations toward different topics Lesson Planning & Materials development Teaching teachers how to create lesson plans and materials with AIAI in Learning Activities Driving teachers to implement AI in their classes through AI-integrated learning activitiesAssessment Educating teachers to incorporate AI in formative and summative assessment Plenary wrap up – 20 minNote: Ethical considerations (bias\, transparency\, data privacy\, teacher agency) will be addressed transversally across all thematic groups.  								\n				\n				\n					\n						\n				\n					 Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									14.00 – 17.00 (Hybrid is possible)  14:00 – 14:15 Welcome and Opening Faculty of Education Dean Agnes Perrin Doucey  AI for teaching and learning VP David Cassagne  14:15 – 14:45 Speed dating activity   14:45 – 15:30 Facilitated Input – 45 minutes GenAI Impact on teaching and learning practices and comparison of universities’ approaches  by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez  Coffee Break  15:30 – 17: 00 Parallel sessions  Interactive workshop: Landscape of AI and prompting practice Hands-on practice with diverse AI (e.g. ChatGPT\, Copilot and other). Linked with the 3 focus areas Facilitated by Yuanfei Huang (+ 1 person from DSIN)  Ethical considerations in AI integration Exploring bias\, transparency\, data privacy\, dependency\, and deprofessionalization. Linked with the three focus area. Advanced workshop: future thinking exercise >> how will it be in 2040?  Facilitated by Annet van der Riet								\n				\n				\n					\n						\n				\n					 Day 2 (May 19):    Understanding different perspectives and integrate the student voice  \n							\n			\n			\n		\n\n						\n				\n				\n				\n									9:00 -12.30:  Facilitated Input – 45 min “Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools\, University\, and Teacher Education”  Speaker: Sandrine Bazile\, University of Montpellier   STEP 1: Group Work by Focus Area  Share examples related to the input of the lecture.  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet  STEP 2: Let’s co-create!  Dos and donts and advice  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet   Plenary wrap up (max. 30 min)   Lunch – 12.30 to 13.30  13.30 – 16.30:  Facilitated Input – 45 min:  “The Uses of AI by Students and How It Affects Learning Processes”  Speaker: Aurélie Bourdais\, University of Montpellier  STEP 3: Student Voice Panel\, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:   Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet Plenary wrap up (max. 30 min)  								\n				\n				\n					\n						\n				\n					 Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education  \n							\n			\n			\n		\n\n						\n				\n					\n				\n				\n									9:00 – 12:00  Input Session: “Training Future Teachers on AI: The Bergen Example”  Speaker: Kenan Dikilitas\, University of Bergen A practical case study of integrating AI literacy into teacher training  9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.  9:45–10:00 STEP 4 Integrate AI in your pedagogical practice  Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG  10:00–11:00 (Facilitated by Fei and Kenan) Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:  Lesson planning & materials development (ex. Guidelines for students) Use of AI in learning activities Assessment strategies when using AI in pedagogical activities 11:00–11:45 Sharing of group designs and discussion of questions.   11:45–12:00 Wrap-up. (Vanessa\, Annet and David can share their comments)  Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:  Lesson Planning & Materials development – facilitator David Durant AI in Learning Activities – facilitator Vanessa Vigano Assessment – facilitator Annet van der Riet12:30 – 13:30 Lunch 13:30 – 14:30  Gallery Walk & Group Feedback 1h Next Steps Planning 15 min (David Durant) Closing Session & Farewell 15 min (David Durant)  
URL:https://charm-eu.eu/event/charm-eu-annual-conference-2023/
LOCATION:Julius-Maximilians-Universität Würzburg\, Sanderring 2\, Würzburg\, 97070\, Germany
CATEGORIES:CHARM event
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/06/AlliancesForSociety_BannerWeb.png
END:VEVENT
END:VCALENDAR