معرفی
Dragan Gasevic is an Honorary Professorial Fellow at the School of Informatics, University of Edinburgh, where he contributes to research in adaptive and neural computation with a focus on learning analytics and educational technologies.
His research interests lie at the intersection of artificial intelligence and education, particularly in the development and application of data-driven methods to understand and improve learning processes in higher education. His work spans learning analytics, educational data mining, and adaptive educational systems, leveraging techniques from machine learning and neural computation to model complex learning behaviors.
Dragan has been a leading figure in the learning analytics community, contributing foundational work on analytics for self-regulated learning, social learning, and curriculum design. His research has influenced both theoretical frameworks and practical tools used in digital learning environments.
He is affiliated with the Institute for Adaptive and Neural Computation, a leading research group at the University of Edinburgh advancing AI and machine learning methods. This institute provides a collaborative environment for interdisciplinary research connecting cognitive science, computer science, and educational practice.
Dragan has advised numerous graduate students and researchers in the field of learning analytics and has secured competitive research grants from national and international funding bodies, though specific names and titles are not listed in the current source.
