Scholar
Dragan Gasevic
Google Scholar ID: Q4Nm22sAAAAJ
Professor of Learning Analytics, Monash University
Citations & Impact
Citations
31,829
H-index
88
i10-index
390
Publications
20
Co-authors
185
list available
Publications
Resume (English only)
Academic Achievements
- Recognized as the national field leader in educational technology by The Australian from 2019 to 2023; led the EU-funded SHEILA project that received the Best Research Project of the Year Award (2019) from the Association for Learning Technology; received the Lifetime Member Award from the Society for Learning Analytics Research (SoLAR) in 2022 and named a Distinguished Member of the Association for Computing Machinery (ACM), the world’s largest computing society.
Research Experience
- Previously, he was a Professor and the Sir Tim O’Shea Chair in Learning Analytics and Informatics at the Moray House School of Education and the School of Informatics, and Co-Director of the Centre for Research in Digital Education at the University of Edinburgh; Canada Research Chair in Semantic and Learning Technologies and Professor in the School of Computing and Information Systems at Athabasca University; founder and President (2015–2017) of the Society for Learning Analytics Research (SoLAR); founding program chair of the International Conference on Learning Analytics & Knowledge (LAK) in 2011 and 2012, general chair in 2016, founding program co-chair of the Learning Analytics Summer Institute (LASI) in 2013 and 2014, and founding editor of the Journal of Learning Analytics (2012–2017) and Computers & Education: Artificial Intelligence (2020–present).
Education
- Doctor of Philosophy, Computer Science
Background
- Research interests center around data analytics, AI, and design methods that can advance understanding of self-regulated and collaborative learning. Currently, he is a Distinguished Professor of Learning Analytics in the Faculty of Information Technology and the Director of the Centre for Learning Analytics (CoLAM) at Monash University.
Miscellany
- Interests lie in computational techniques and methods in learning analytics.
