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DTSTART;VALUE=DATE:20230914
DTEND;VALUE=DATE:20230916
DTSTAMP:20260513T164711
CREATED:20240913T121213Z
LAST-MODIFIED:20240913T121213Z
UID:10000035-1694649600-1694822399@charm-eu.eu
SUMMARY:II Forum of Universities for the Future of Europe
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/ii-forum-of-universities-for-the-future-of-europe/
LOCATION:Montpellier
CATEGORIES:CHARM event
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/09/EUES.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230629
DTEND;VALUE=DATE:20230630
DTSTAMP:20260513T164711
CREATED:20240913T121019Z
LAST-MODIFIED:20240913T121019Z
UID:10000034-1687996800-1688083199@charm-eu.eu
SUMMARY:CHARM-EU European University: a test bench for teaching\, research and innovation and management
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-european-university-a-test-bench-for-teaching-research-and-innovation-and-management/
LOCATION:Faculty of Biology of University of Barcelona\, Av. Diagonal\, 643\, Barcelona\, Spain
CATEGORIES:CHARM event
ATTACH;FMTTYPE=image/jpeg:https://charm-eu.eu/wp-content/uploads/2024/09/UBIDP.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20230609T103000
DTEND;TZID=Europe/Paris:20230609T150000
DTSTAMP:20260513T164711
CREATED:20240626T085343Z
LAST-MODIFIED:20250529T151844Z
UID:10000014-1686306600-1686322800@charm-eu.eu
SUMMARY:CHARM-EU Open Science Day - Online training
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-open-science-day-online-training/
LOCATION:Montpellier
CATEGORIES:CHARM event
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/06/OS-event-banner.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230509
DTEND;VALUE=DATE:20230510
DTSTAMP:20260513T164711
CREATED:20240913T114119Z
LAST-MODIFIED:20240913T114119Z
UID:10000033-1683590400-1683676799@charm-eu.eu
SUMMARY:Town Hall on Inter- and Transdisciplinarity at Trinity
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/town-hall-on-inter-and-transdisciplinarity-at-trinity/
LOCATION:Montpellier
CATEGORIES:CHARM event,Learning,Research,Teaching
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230502
DTEND;VALUE=DATE:20230504
DTSTAMP:20260513T164711
CREATED:20240913T113934Z
LAST-MODIFIED:20240913T113934Z
UID:10000032-1682985600-1683158399@charm-eu.eu
SUMMARY:CHARM-EU onboarding & inter-institutional professional development meets in Mülheim
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-onboarding-inter-institutional-professional-development-meets-in-mulheim/
LOCATION:Montpellier
CATEGORIES:CHARM event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230321
DTEND;VALUE=DATE:20230323
DTSTAMP:20260513T164711
CREATED:20240913T113803Z
LAST-MODIFIED:20240913T113803Z
UID:10000031-1679356800-1679529599@charm-eu.eu
SUMMARY:CHARM-EU Mobility team group meets in Würzburg
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-mobility-team-group-meets-in-wurzburg/
LOCATION:Montpellier
CATEGORIES:CHARM event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20230308T080000
DTEND;TZID=Europe/Paris:20230308T170000
DTSTAMP:20260513T164711
CREATED:20240626T085039Z
LAST-MODIFIED:20240729T124439Z
UID:10000013-1678262400-1678294800@charm-eu.eu
SUMMARY:TORCH 2nd Annual Forum | March 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/torch-2nd-annual-forum-march-2023/
LOCATION:Trinity College Dublin\, College Green\, Dublin\, Ireland
CATEGORIES:CHARM event
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/06/Blue-frame.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20221213T080000
DTEND;TZID=Europe/Paris:20221213T170000
DTSTAMP:20260513T164711
CREATED:20240626T084551Z
LAST-MODIFIED:20240729T124557Z
UID:10000012-1670918400-1670950800@charm-eu.eu
SUMMARY:CHARM-EU Annual Conference 2022
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-2022-2/
LOCATION:Montpellier
CATEGORIES:CHARM event
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/06/Screenshot-2022-11-08-112712-.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20220916T080000
DTEND;TZID=Europe/Paris:20220916T170000
DTSTAMP:20260513T164711
CREATED:20240626T084159Z
LAST-MODIFIED:20240729T124605Z
UID:10000011-1663315200-1663347600@charm-eu.eu
SUMMARY:CHARM-EU Inclusion 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/charm-eu-inclusion-conference/
LOCATION:Eötvös Loránd University Budapest\, Egyetem tér 1-3\, Budapest\, 1053\, Hungary
CATEGORIES:CHARM event
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/06/STD-Inclusion-Conference_0.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20220906T140000
DTEND;TZID=Europe/Paris:20220906T160000
DTSTAMP:20260513T164711
CREATED:20240626T083148Z
LAST-MODIFIED:20251008T105248Z
UID:10000010-1662472800-1662480000@charm-eu.eu
SUMMARY:CHARM-EU World Café
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-world-cafe-2/
LOCATION:Montpellier
CATEGORIES:CHARM event,Sustainability
ATTACH;FMTTYPE=image/png:https://charm-eu.eu/wp-content/uploads/2024/06/Join-our-World-Cafe-1600-×-900_1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220503
DTEND;VALUE=DATE:20220504
DTSTAMP:20260513T164711
CREATED:20240913T113705Z
LAST-MODIFIED:20240913T113705Z
UID:10000030-1651536000-1651622399@charm-eu.eu
SUMMARY:Information Session | Master's 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/information-session-masters-in-global-challenges-for-sustainability/
LOCATION:Montpellier
CATEGORIES:CHARM event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20220324T080000
DTEND;TZID=Europe/Paris:20220324T170000
DTSTAMP:20260513T164711
CREATED:20240626T082836Z
LAST-MODIFIED:20251008T105235Z
UID:10000009-1648108800-1648141200@charm-eu.eu
SUMMARY:CHARM-EU Governance Forum
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-governance-forum/
LOCATION:Université de Montpelllier\, 163 rue Auguste Broussonnet\, Montpellier\, 34000\, France
CATEGORIES:CHARM event,Sustainability
ATTACH;FMTTYPE=image/jpeg:https://charm-eu.eu/wp-content/uploads/2024/06/charmeu-forumgovernance22-IGwall.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220308
DTEND;VALUE=DATE:20220309
DTSTAMP:20260513T164711
CREATED:20240913T112154Z
LAST-MODIFIED:20240913T112154Z
UID:10000028-1646697600-1646783999@charm-eu.eu
SUMMARY:Bridging the gap between university and the real 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/bridging-the-gap-between-university-and-the-real-world/
LOCATION:Montpellier
CATEGORIES:CHARM event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220222
DTEND;VALUE=DATE:20220223
DTSTAMP:20260513T164711
CREATED:20240913T112346Z
LAST-MODIFIED:20240913T112346Z
UID:10000029-1645488000-1645574399@charm-eu.eu
SUMMARY:Master's virtual information session
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/masters-virtual-information-session/
LOCATION:Montpellier
CATEGORIES:CHARM event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20220113T080000
DTEND;TZID=Europe/Paris:20220113T170000
DTSTAMP:20260513T164711
CREATED:20240626T081915Z
LAST-MODIFIED:20251008T105150Z
UID:10000008-1642060800-1642093200@charm-eu.eu
SUMMARY:CHARM-EU Annual Conference 2022
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-2022/
LOCATION:Montpellier
CATEGORIES:CHARM event,Sustainability
ATTACH;FMTTYPE=image/jpeg:https://charm-eu.eu/wp-content/uploads/2024/06/charmeu-days22-design-IGwallpost.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210924T080000
DTEND;TZID=Europe/Paris:20210924T170000
DTSTAMP:20260513T164711
CREATED:20240626T081623Z
LAST-MODIFIED:20251008T105139Z
UID:10000007-1632470400-1632502800@charm-eu.eu
SUMMARY:CHARM-EU and TORCH - Educating and Researching the European University
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-and-torch-educating-and-researching-the-european-university/
LOCATION:Montpellier
CATEGORIES:CHARM event,Sustainability
ATTACH;FMTTYPE=image/jpeg:https://charm-eu.eu/wp-content/uploads/2024/06/Green-Minimal-Building-Conference-Poster.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210907T140000
DTEND;TZID=Europe/Paris:20210907T170000
DTSTAMP:20260513T164711
CREATED:20240626T061134Z
LAST-MODIFIED:20251008T105120Z
UID:10000006-1631023200-1631034000@charm-eu.eu
SUMMARY:CHARM-EU World Cafe
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-world-cafe/
LOCATION:Montpellier
CATEGORIES:CHARM event,Sustainability
ATTACH;FMTTYPE=image/jpeg:https://charm-eu.eu/wp-content/uploads/2024/06/Poster-Twitter.jpg
END:VEVENT
END:VCALENDAR