June is AI Month: take a moment to explore what AI can mean for your teaching

EDLAB maintains an overview page on AI and education where you can find information about AI, the UM policy framework providing guidelines for responsible use in education, research and business. 

In September 2025, EDLAB launched the AI and the Future of Learning at UM project to explore how artificial intelligence (AI) and broader societal shifts will shape the future of learning at Maastricht University.

And last but not least, EDLAB also facilitates a Community of Practice on AI & education open to all staff members. Please join the conversation on Teams!

The impact of GenAI and new technologies on education has triggered many UM teaching staff to design, integrate and try out new features in the PBL-classroom. Over the last two years, EDLAB has awarded several innovation and research grants to projects devoted to the topic of AI and new technological tools. 

During this session, grant winners will showcase their project ideas, methods, and results and respond to any questions or additional ideas you may have. Project topics include AI & assessment, AI as a coach, AI & academic writing and ethical use of AI, interactive websites, digital platforms and games.

Date: 10 June, 10:45 –  12:00
Location: EDLAB at Tapijn 1,014

Note: this session is part of the UM Education Days

Generative AI tools like ChatGPT, Copilot and Perplexity are changing how we search for and engage with academic literature. They promise speed and accessibility, but how reliable are they, and do they live up to expectations?

In this interactive workshop, we explore and critically assess the use of GenAI tools for literature discovery. Participants take part in hands-on activities with selected tools and evaluate the results, considering their strengths, limitations and ethical implications.

By the end of the session, you will better understand how to assess AI outputs, recognise their advantages and limitations, and reflect on their responsible use in your academic practice.

Date: 11 June, 11:45 –  13:00
Location: EDLAB at Tapijn 1,006

Note: this session is part of the UM Education Days

A deepen-level programme designed for educators who will take an active role in supporting their colleagues.

Dates:

Session 1: 1 July, 10.30 – 12.30 (Inner City Library Makerspace, room 1.228)
Session 2: 8 July, 10.30 – 12.30 (Inner City Library Makerspace, room 1.228)

Target group: Educators

More information

Available continuously
Provider: Maastricht University Library
Location: Online

The AI Prompt Library is a collection of prompt templates designed to give you a starting point and inspiration you need to use Generative AI (GenAI) tools like an expert.

Available continuously
Provider: Maastricht University Library
Location: Online

In this module, you will learn to:

• Understand what Generative AI is
• Recognise the opportunities and limitations of Generative AI
• Familiarise yourself with the do's and don'ts when using Generative AI

Available continuously
Provider: Maastricht University Library
Location: Online

After having finished this module, you will:

• Know what prompt engineering is.
• Understand how to formulate a good prompt.
• Have the ability to evaluate existing prompts.

How can educators make clear and responsible choices about the use of generative AI in assessment? The AI Assessment Fan, developed by Dutch vocational education institutions together with Npuls, offers a practical framework to support conversations about AI use in testing and examination.

Based on Leon Furze’s AI Assessment Scale, the tool distinguishes five levels of AI use, ranging from no AI to co-creation, and helps educators, exam committees and policymakers make informed choices that fit learning objectives and assessment formats. Although developed for vocational education, the framework and practical guide are also highly relevant for higher education institutions currently reflecting on AI and assessment practices.

Download the AI Assessment Fan (in Dutch)

Access to infrastructure is essential for the adoption of AI in education. Npuls, the National Growth Fund programme in which tertiary educational institutions work together, is building EduGenAI, a safe and responsible application for generative AI in education. The programme is improving technological facilities so that every institution has the necessary resources and is currently expanding the EduGenAI pilot to support more users.

UM is exploring this (EduGenAI) scenario next to two other options: 

• build a platform hosted and supported by ourselves (UM-Chat)
• adopt this EduGenAI platform 
• or have students and staff use their own options (possibly with advice on settings). 

Read more about the EduGenAI pilot or reach out to us to discuss whether your use case could be part of the UM pilot.

• Blog series: Investigating AI in assessment
  What happens when AI enters the assessment process? Since receiving an EDLAB Education Innovation Grant in 2025, Lutz Krebs, senior lecturer at SBE, has been exploring how large language models (LLMs) could support assessment and feedback in education within legal and ethical boundaries.
  
  Instead of a traditional project report, he is sharing his experiences through a blog series for the UM teaching and learning community. Across the series, Lutz reflects on practical applications, questions, frustrations and lessons learned around AI in assessment. Read the posts on UMployee.
   

• AI Literacy: The New Frontier of Inclusion
  Artificial intelligence (AI) is developing rapidly and increasingly shaping how we learn, work, and participate in society. At the same time, access to AI tools and the competence to use them effectively are unequally distributed. This raises urgent questions about equity and inclusion in education. In this white paper, the authors explore how AI literacy can become a critical factor in shaping future opportunities in education and society. 

  
  
  This white paper explores AI literacy as a new dimension of inclusion and equity in education. The authors draw parallels with the early development of the internet and emphasise that access to AI and the skills to use it responsibly are crucial for future opportunities. The paper is authored by the team behind AI-GO! A Framework for AI Literacy in Education (AI-GO Framework). Informed by this framework, the authors reflect on the importance of positioning AI literacy as a core component of education. 

• The Pedagogical Promptbook
  Enacting Evidence-based Teaching and Instructional Design Practices with Generative AI
  
  Each chapter in this open access book describes the research on an evidence-based practice, the iterative development process the authors used to create a prompt that enacts the practice, the methodology by which the prompt's performance was evaluated, the results of the evaluation, and the full text of the prompt and any accompanying materials. The book is licensed CC BY, meaning everyone, everywhere can freely copy, adapt, and use the prompts to improve teaching and learning.