How can AI help teachers and students deal with differences between learners? My work makes learning experiences more adaptive, transparent, and motivating.

As a researcher, I specialise in human-centred explainable AI: explaining why an AI system does what it does and giving people real control over it. For example, I created an adaptive maths learning platform for secondary schools, where teenagers see why exercises are recommended and adjust the difficulty themselves. I design explanations and controls with interactive visualisations, build them into working products, and evaluate their effects on trust, understanding, motivation, and learning, mixing quantitative and qualitative methods. I also worked on personalised gamification to foster motivation. Education is my main focus, but since transparency and control matter wherever people use AI, I also study other domains.

As a teacher, I innovate computer science courses, activating students with energetic lectures, quizzes, discussions, dilemmas, and role-play. I also supervise theses, and my teaching feeds back into my research through practical teaching tools. It earned me Utrecht University's Teacher Talent award.

With a background in mathematics (MSc) and computer science (MSc, PhD), I like to bridge technical AI and its users. Interested in collaborating or curious about AI in your classroom? Get in touch.