Within the theme Teaching & GenAI, you can read more about GenAI as well as the challenges and 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. |
| 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.
AI can be integrated into assessment in different ways depending on the role AI plays in the learning task.
When AI tools are permitted or integrated into assessment, transparency becomes an important mechanism for maintaining valid, reliable, and fair assessment. Find out how to make the learning process visible with practical formats.
Lane 2 assessments are unsupervised; students may use generative AI at their discretion. Often the outcomes stay the same—what changes are the task design and criteria that govern permitted AI use and still allow students to evidence those outcomes.
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.

