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David Gijbels
David Gijbels
David Gijbels obtained his degree from the Faculty of Psychology and Educational Sciences at KU Leuven (Belgium), and earned his Ph.D. from Maastricht University (The Netherlands). He currently holds the position of Full Professor in Learning and Instruction within the Faculty of Social Sciences at the University of Antwerp. His research is situated within the Edubron research group and primarily focuses on student learning processes. He is also co-founder of the Antwerp Social Lab, a core research facility at the University of Antwerp dedicated to the application of psychophysiological and behavioral methodologies for investigating human interactions in both interpersonal and technology-mediated contexts.
David is actively involved in graduate education, primarily teaching in the Master of Science in Education and Training Sciences program. He contributes to the academic community through editorial service on the boards of Educational Research Review, Contemporary Educational Psychology, Vocations and Learning, and serves on the advisory board of the Journal of Computer Assisted Learning.
When Eye-Tracking Meets AI: New Pathways to Understanding and Supporting Learning in the Digital Age
When Eye-Tracking Meets AI: New Pathways to Understanding and Supporting Learning in the Digital Age
Abstract
Abstract
Over the past decade, our research team at the University of Antwerp has been exploring how students engage with educational materials—whether through reading texts or watching instructional videos. In this keynote, I will share insights from our journey to understand these learning processes, focusing on the innovative use of eye-tracking technology as a window into student learning in the digital age.
Eye-tracking has allowed us to uncover subtle patterns in attention and comprehension, offering a deeper understanding of how learners interact with digital content. Building on these findings, we are now entering a new phase: with the integration of artificial intelligence, we can move beyond observation to real-time support. AI-enhanced eye-tracking opens new possibilities for empowering teachers—providing actionable insights into student learning that were previously inaccessible.
This talk will reflect on the evolution of our research, the challenges we’ve faced, and the exciting potential of combining AI and eye-tracking to reshape classroom practices.
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