The new UvA policy framework and guidelines on GenAI in education sets out clear guidelines for the responsible and transparent use of Generative AI (GenAI) in education, with a strong emphasis on scientific integrity. One component that fits within the new policy is the UvA AI Chat. With this application, everyone at the University of Amsterdam will be able to experiment with GenAI in education.

Therefore, TLC Science has developed and gathered several resources that can be used by lecturers who want to integrate GenAI into their course. If you have any questions about GenAI, the AI team is ready to think along with you, offer advice, and experiment together with new applications of AI in education.

This content is created by TLC Science for the UvA Science Faculty. Do you work at another UvA Faculty? Please follow your faculty’s specific guidelines.

Building AI literacy

E-learning for lecturers

This e-learning is aimed at lecturers and teaching assistants who want to learn more about the responsible use of GenAI in higher education and the impact it can have on your teaching.

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E-learning for students

This e-learning is aimed at students who want to learn more about the responsible use of ChatGPT and GenAI in higher education.

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Module AI Literacy

This workshop for teaching staff demystifies how powerful GenAI tools work, examines how and why they are reshaping teaching and assessment, explores how students are using them, and considers the consequences of acknowledging – or ignoring – GenAI use in your educational context.

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Erasmus+ project TaLAI

The Erasmus+ project ‘Teaching and Learning with Artificial Intelligence in Higher Education’ (TaLAI) aims to empower both educators and students in developing GenAI literacy and competence. Visit this page to read more about the project and visit the published articles.

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Getting started with GenAI in education

The Challenge of GenAI in Thesis Assignments: Tips for Educators

The thesis assignment is a great way of testing and is a large part of our programs, but is put under enormous pressure by the advent of Generative AI (GenAI). In this article, we offer focus and tips that you as a teacher can use immediately.

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UvA AI Chat manuals

The UvA has created several resources to introduce UvA AI Chat and to help you get started: An e-learning, a user manual, and a disclaimer.

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Guidelines for integrating GenAI into your course

This article helps you thoughtfully integrate GenAI into your course by guiding you through key design choices, practical considerations, and ethical responsibilities, ensuring GenAI enhances learning without compromising educational quality.

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GenAI pilot plan

This article provides a pilot plan template with key questions to help you design and evaluate the use of GenAI in your course.

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GenAI roles in your course

This article shows practical examples of how GenAI can be integrated into your course. Each example highlights a different “role” GenAI can play.

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Hands-on tips & techniques

Persona examples

This article shows examples of GenAI personas (or “system prompts” or “CustomGPT’s”) that are already created by UvA lecturers across different courses. Use them as inspiration to create your own, tailored to your teaching goals and context.

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Prompt engineering tips

This article offers practical prompt engineering tips to help you and your students interact more effectively with GenAI tools. It highlights techniques to guide GenAI in generating relevant and high-quality responses.

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Teaching activities & assignments

Assignment: Writing a GenAI Manifesto

This article describes an in-class assignment where students and lecturers collaboratively create a GenAI Manifesto, outlining shared values, ethical guidelines, and practical agreements for GenAI use within the course. It encourages reflection, discussion, and joint responsibility in working with GenAI tools.

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Assignment: Dialogue on the use of GenAI in academic writing

This article describes an in-class assignment where students engage in discussions and reflections on ethical GenAI use in academic writing, evaluating case studies to develop a consensus on responsible GenAI practices. It promotes critical thinking and ethical awareness in integrating GenAI tools in writing assignments.

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