The goal of the course is for participants to be able to create well-directed and precise instructions that enable large language models (LLMs) to generate desired or useful responses. Properly designed prompts help minimize potential errors, biases, and distortions, while also enhance the reliability and usability of the model in different areas. Mastering prompt engineering not only facilitates smart search, extraction, and knowledge acquisition, but also forms a strong basis for amplifying effective task performance in several areas within industry. Persistent practice and inquiry help participants in finding answers to their questions, and especially improving their English skills. Discussions foster a collaborative learning environment where participants can learn from each other and enhance their understanding of prompt engineering concepts as well as engage in intercultural exchanges.
The course is designed for those who would like to increase their abilities for autonomous learning and development in English, possess market ready abilities for effective work and open mindset for self-development.
At the end of the course, the learner will be able to…
Abilities:
• to create well-directed and precise prompting that enable LLMs to generate desired or useful responses,
• to be able to make use of prompt engineering for learning and effective working,
• to be able to demonstrate self-development in English or any other language.
Attitudes:
• to be open for innovative use of LLMs in the learning and working process,
• to have motivation for self-regulation in learning and using English.
• to open up to intercultural discussions.
Autonomy, responsibility:
• to practice autonomous learning,
• to be responsible for their own learning progress,
• to be encouraged to help each other in learning.
No pre-requisites
Requirements: access to the Internet and one specific Large Language Model (LLM) e.g. CharGPT 3.5 (FREE).
Low stake assessment:
Test 1.: 10pts – multiple-choice questions to assess understanding of basic prompt engineering in various areas of direct prompting
Test 2.: 10pts – multiple-choice questions that assess basic prompt engineering through practical examples in various areas of prompt pattern
Peer-reviewed assignment 1.: 10pts -Envisioning Learning and Assignment Assistance through Prompt Engineering.
Your assignment will be evaluated by one of your peers and you shall be asked likewise to evaluate an assignmend submitted by one of your peers. Peer evaluation 5pts.
Active participation in the Discussion “can” be awarded by extra pts. (max. 10pts as sum):
– Proposed innovative prompt design or creative solutions (1 pt/entry)
– Helping hints given to peers on paused questions or inquiries ( 1 pt/entry)
High stake assessment:
EnSmart English test: 30 pts can be attained
Peer-reviewed assignment 2.: 30 pts – assess higher-order skills learned in practical prompt engineering.
Your assignment will be evaluated by one of your peers and you shall be asked likewise to evaluate an assignment submitted by one of your peers. Peer evaluation 10 pts.
Score: 80+ – Excellent, 70+ – Very good, 60+ – Good, 50+ – PASS, 50 – FAIL
All learning materials are located within the course.
The course is self-paced asynchronous, with possibilities of consultations.
The course provides a methodological pathway for learning prompt engineering. The examples within the course are mostly related to very basic understandings of programming and computer science, which would also help in understanding of principles of LLMs. Mastering the course would allow participants to explore topics further and engage in deeper knowledge that is relevant to their own interest or profession as well as improve skills in English.Progressing through the course requires motivation and diligence in reading the content and practicing alongside, by having another window opened where the actual prompts could be tested, the feedback reviewed and the prompts further adapted to needs.
Theoretical understandings are tested after each module through multiple choice questions.Practicing prompting can be attained individually (using ChatGPT) OR through the Prompt Tutor app.The level of English can be tested through the EnSmart app, that also provides feedback for progress.Higher level thinking skills in prompting is assessed through peer-reviewed assignments.Discussions allow participants to engage in Q&A, peer review and constructive criticism. This fosters a collaborative learning environment where participants can learn from each other and enhance their understanding of prompt engineering concepts and practical applications.
Transcript of records
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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.
