AI & Education at Maastricht University
Artificial Intelligence (AI) and data-driven technologies have the potential to address some of the biggest challenges 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 harnessing 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).
This page examines the educational implications of two AI applications: Large Language Models like ChatGPT and Learning Analytics.
Large Language Models and education
What are the benefits and limitations of integrating Large Language Model (LLM) functionalities into our education/assessment practices?
How to use Learning Analytics in education and what are the potential drawbacks?
Clarification of concepts
EDLAB Activities Related to ArtificiaI Intelligence and Education
|EDLAB Innovation Project: The impact of Language Models (such as ChatGPT) on PBL Education||
|Community of Practice on AI & Education||
|Training through Continuing Professional Development (CPD) and Board of Examiners (BoE) professionalisation||
For more information, please contact:
Walter Jansen, Senior Coordinator Innovation at EDLAB
Bianca Massacci, Student Assistant at EDLAB