Teaching & GenAI
Resources and guidance for educators navigating AI in higher education
Generative AI is transforming how we teach and assess. This resource hub helps you understand AI tools, design AI-aware assessments, and develop your own and your students’ AI literacy with confidence and clarity.
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Whether you’re new to AI or looking to refine your approach, these resources provide practical guidance grounded in educational principles and UvA policy.
Below you can find articles from the TLC network about Teaching & GenAI. Also view the other didactic themes.
Lane 2: Approaches to AI-integrated assessment
AI can be integrated into assessment in different ways depending on the role AI plays in the learning task.
Lane 2: Transparency and documentation
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: Designing AI-robust assignments
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.
Lane 2: Unsupervised assessments
Building your AI literacy
Building your own AI literacy is the first step toward using GenAI responsibly and confidently in your teaching. These resources help you do it.
Lane 1: Adapting existing assessment
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.
Lane 1: Formats for supervised assessment
Assessment formats that verify independent mastery.
Lane 1: Supervised assessment
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.
GenAI and assessment
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?
TLC AI calendar: workshops, events and courses
TLC AI Portal
This page provides a overview of all AI-related links and resources at the University of Amsterdam. It is curated by the TLC Central AI Literacy team and brings together where you can find information about artificial intelligence in education, teaching support, policy guidelines, and practical tools offered by the UvA.
Recap: Experiences and conversations about AI use at the UvA
Ideas and developments of AI in education are discussed during AI: Experiences and Conversations last 19 November 2024.