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.
Faculty support
TLC-FdR offers various forms of support to help lecturers explore and integrate GenAI into their work:
Basic information
The employee website contains a wealth of information about the use of AI in education, including a manual for UvA AI Chat and two e-learnings that teach you how to use UvA AI Chat and increase your AI literacy.
Workshop series
TLC-FdR invites you to a three-part workshop series, which address GenAI from multiple angles: critical, practical and pedagogical. The workshops can be taken in a sequence or separately.
- GenAI as Time-Saver for Teachers: hands-on practice with the UvA Chatbot to streamline preparation while keeping academic judgement in your hands.
- GenAI and Pedagogical Vision: a reflective session on balancing AI-enabled learning with deep, human-centered teaching.
- No-Laptop Classrooms: Back to Deep Learning: Evidence-based strategies and examples for creating slow, attentive, and embodied classroom experiences.
Integration in education
Enthusiastic about integrating AI into your own teaching? First, discuss your plan with your own director of education. Then we will be happy to help you with your plans, whether it concerns course design, assignments or assessment. Email us (tlc-fdr@uva.nl) with your plans and we will discuss what we can do for you. If you need technical support, please contact ICTO (icto-fdr@uva.nl).
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.
Assessment 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
Resources for 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
Hands-on AI: from hackathons to co-design sessions
Join the Hands-on AI event series and use your vision towards the future to help improve today’s education.
Teacher Story: Assessment in the Age of AI – Innovations in the course Advocatuur en Beroepsethiek
Teacher Story: Testing in the Age of AI – Innovations in the course Advocatuur en Beroepsethiek