Dragan Gašević is Distinguished Professor of Learning Analytics in the Faculty of Information Technology and the Director of the Centre for Learning Analytics (CoLAM) at Monash University. His research interests in learning analytics center around the development of computational and design methods that can advance understanding of self-regulated and collaborative learning. Previously, he was a Professor and the Sir Tim O’Shea Chair in Learning Analytics and Informatics (Feb 2015–Feb 2018) in the Moray House School of Education and the School of Informatics and Co-Director of Centre for Research in Digital Education at the University of Edinburgh. He was the Canada Research Chair in Semantic and Learning Technologies and Professor in the School of Computing and Information Systems at Athabasca University (Jan 2007–Jan 2015). He is a founder and served as the President (2015–2017) of the Society for Learning Analytics Research (SoLAR), the world’s leading research and professional organization in learning analytics. He has held several honorary professorships and industry fellowships in Asia, Australia, Europe and North America. He served as a founding program chair of the International Conference on Learning Analytics & Knowledge (LAK) in 2011 and 2012, the general chair in 2016, a founding program co-chair of the Learning Analytics Summer Institute (LASI) in 2013 and 2014, and a founding editor of the Journal of Learning Analytics (2012–2017) and Computers & Education: Artificial Intelligence (2020–present). In 2019–2022, he was recognized as the national field leader in educational technology in The Australian – the only Australian daily newspaper distributed nationally. He led the EU-funded SHEILA project that received the Best Research Project of the Year Award (2019) from the Association for Learning Technology. In 2022, he received the Lifetime Member Award, the highest distinction of the Society for Learning Analytics Research (SoLAR) and named a Distinguished Member of the Association for Computing Machinery (ACM), the world’s largest computing society.

Computational techniques and methods in learning analytics.