AI & education at Maastricht University
Artificial Intelligence (AI) and other data-driven technologies have the potential to address some of the biggest needs in education today and innovate teaching and learning practices. However, rapid technological developments inevitably bring multiple risks and challenges.
Maastricht University recognises the importance of tapping into the opportunities of AI technologies while ensuring a safe and effective integration of such technologies into the PBL curriculum in alignment with the core learning principles Contextual, Collaborative, Constructive and Self-directed (CCCS).
EDLAB is currently running a Community of Practice on AI & education open to all staff members. Please join the conversation on Teams!
This page examines the educational implications of AI applications.
Large Language Models & education
What are the benefits and limitations of integrating Large Language Model (LLM) functionalities into our education and assessment practices?
GenAI training activities offered by UM
EDLAB and UM offer training programmes for efficient and ethical use of GenAI tools.
Precautions and risks of GenAI
Using GenAI tools can have data privacy and other risks.
GenAI for students
GenAI tools can be beneficial for educational and study-related tasks.
AI Prompt Library
The AI Prompt Library launched in October 2024, provides basic tips on what to consider while prompting.
Resources
Explore our curated collection of resources on GenAI.
Contact
For more information, please contact:
Walter Jansen, Senior Coordinator Innovation at EDLAB
Spoorti Ramesh, Student assistant at EDLAB
For specific questions about the AI policy framework, please contact:
Lars Nabuurs.
Disclaimer
The information on this page presents examples to UM students and staff on how to make better use of Generative AI (GenAI) in the educational process. Maastricht University does not recommend the use of any specific GenAI tool. However, you are strongly advised to opt-out of allowing your content to be used to (further) train the GenAI tool of your choice. This can usually be done in Settings.
Given that all information entered into an AI tool will be stored and can be reused by the GenAI tool provider as they deem fit, one should not feed: UM- data, confidential information and trade secrets; personal data and sensitive data relating to you or other people; copyrighted materials (such as books, academic articles e.t.c.), but also materials for which the UM is the copyright holder, such as educational materials including coursebooks, syllabi, ppt, e.t.c.
Certain GenAI practices in education may not be allowed or encouraged within your faculty’s policy framework and/or rules and regulations. Please check first any relevant rules on the use of GenAI in education, applicable to you, and defined at activity, course/module, study programme and faculty level.
GenAI can only be employed for high-risk practices under strict conditions set out in the EU AI Act. UM currently refrains from employing GenAI in relation to student assessment, selection and admission procedures, monitoring and detection of prohibited behaviour during exams, pending further thorough investigation of the conditions.