Within the theme Teaching & GenAI, you can read more about GenAI as well as the challenges ánd opportunities it reflects in education. Also you’ll find practical support on how to (responsibly) make use of GenAI as a teacher.
The TLC network collects advice for and by teachers, but does not set any UvA policy or rules.
| On this page you can learn more about AI at the UvA, focussed on the Faculty of Social and Behavioural Sciences. Here we try to answer all your questions about AI in education. Find the UvA AI policy framework on GenAI in education. Or, check out the UvA AI Chat: UvA’s own independent chat-based AI application. For practical tips about the UvA AI Chat, check the key takeaways of our AI event in July, where we introduced the UvA AI Chat for teachers. | As we know that the AI developments can be quite challenging for your teaching, TLC-FMG offers AI consultancy for FMG teachers. Here you can ask all your questions about AI in education, from student use to assessment tips TLC-FMG: AI consultancy for teachers |
Want to work on your AI literacy by yourself? Check out the tiles below for more information about GenAI, the impact of AI on assessment and discover some TLC AI pilot projects. |
Below you can find articles from the TLC network about Teaching & GenAI. Also view the other didactic themes.
Building your own AI literacy is the first step toward using GenAI responsibly and confidently in your teaching. These resources help you do it.
If an existing assignment is vulnerable to being completed largely with AI, the goal is not necessarily to remove the assignment entirely. Instead, consider whether the assessment can be adapted so that students still need to demonstrate the intended learning outcomes.
Assessment formats that verify independent mastery.
Generative AI can support student learning, but in some assessments you must be sure that students can reason, communicate and perform tasks independently of AI. This page explains when AI should be excluded from assessment and where you can get support. A balanced assessment strategy usually combines several formats to assess different learning outcomes, while supporting accessibility and fairness.
How can we design assessments that maintain integrity and foster learning in the GenAI era? Which learning outcomes must students demonstrate independently, and which involve responsible use of AI tools?
How do you teach a course about the societal impact of technology. For Ildikó Plájás and Tina Harris in their Anthropology master course Designing In(ter)ventions into Human-Machine Entanglements, this meant making the UvA AI Chat an active participant.
You have a fantastic case study — one that perfectly illustrates the core concepts of your course — but you’ve used it so many times that students are starting to greet it with a familiar sigh. So, Brandon Armstrong and his colleagues had a thought: what if we could keep the intricate power dynamics of the case, but wrap them in a fresh scenario that would be more engaging to our students? That’s when he turned to the UvA AI Chat to act as a creative teammate.
What if an AI assistant could help you beat that blank page and get the ball rolling? Chei Billedo took part in the AI pilot program to see if the UvA AI Chat could help generate multiple-choice questions for the final exam of the Psychology of Misinformation course she teaches together with Anna Fenko. Her experience offers an interesting, real-world peek into the pros and cons of welcoming an AI into your course preparation.
Providing detailed, timely feedback on assignments can feel like an impossible task. Luke Korthals created a fully automated feedback pipeline to solve this problem. His cutting-edge project provides a powerful glimpse into the future of educational technology, along with a crucial warning for its use in the present.
Join the Hands-on AI event series and use your vision towards the future to help improve today’s education.
Is there a manual for the manuals? Moss Shukla created a custom AI assistant, the BT Thesis Guru, to act as a friendly expert on the manual. His pilot project is a brilliant showcase of how AI Personas can make complex information accessible and save everyone valuable time.

