20032020

Research output per year

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Personal profile

Biography

Dragan Gašević is Professor of Learning Analytics in the Faculty of Information Technology at Monash University. Before the current post, he was Professor and Chair in Learning Analytics and Informatics 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 (Feb 2015-Feb 2018) and Professor in the School of Computing and Information Systems at Athabasca University (Jan 2007-Jan 2015). He served as the immediate past President (2015-2017) of the Society for Learning Analytics Research and holds several honorary appointments in Australia, Canada, Hong Kong, UK, and USA. A computer scientist by training and skills, Dragan considers himself a learning analyst developing computational methods that can shape next-generation learning and software technologies and advance our understanding of information seeking, sense-making, and self-regulated and social learning. Funded by granting agencies and industry in Canada and Europe, Dragan is a recipient of several best paper awards at the major international conferences in learning and software technology. The award-winning work of his team on the LOCO-Analytics software is considered one of the pioneering contributions in the growing area of learning analytics. Recently, he has founded ProSolo Technologies Inc that develops a software solution for tracking, evaluating, and recognizing competences gained through self-directed learning and social interactions. Committed to the development of international research community, Dragan had a pleasure to serve as a founding program chair of the International Conference on Learning Analytics & Knowledge in 2011 and 2012, the general chair in 2016, a founding program co-chair of the Learning Analytics Summer Institute in 2013 and 2014, and a founding editor of the Journal of Learning Analytics (2012-2017). Dragan is a (co-)author of numerous research papers and books and a frequent keynote speaker.

Supervision interests

Computational techniques and methods in learning analytics. 

Education/Academic qualification

Computer Science, Doctor of Philosophy, University of Belgrade

Award Date: 3 Feb 2005

Computer Science, Master of Science (Computer Science), University of Belgrade

Award Date: 17 Dec 2002

Computer Science, Diplom Ingenieur in Computer Science, University of Belgrade

Award Date: 29 Sep 2000

Research area keywords

  • learning analytics
  • educational data mining
  • data science
  • self-regulated learning
  • collaborative learning

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects

Using practice analytics to understand variation and support reflective practice

Shaw, T., Gasevic, D., Rankin, D., Brown, K., Conley, J. & Mews, A.

1/01/2031/12/22

Project: Research

Evaluation of the KNeo ESP Application

Sharma, U., Moore, D., Selwyn, N., Gasevic, D. & Hamdillah, C.

13/04/1830/11/18

Project: Research

Research Output

Analytics of learning strategies: the association with the personality traits

Matcha, W., Gašević, D., Jovanović, J., Uzir, NA. A., Oliver, C. W., Murray, A. & Gasevic, D., 2020, LAK 2020 Conference Proceedings . Kovanović, V., Scheffel, M., Pinkwart, N. & Verbert, K. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 151-160 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Analytics of time management and learning strategies for effective online learning in blended environments

Uzir, N. A., Gaševic, D., Jovanovic, J., Matcha, W., Lim, L. A. & Fudge, A., 2020, LAK 2020 Conference Proceedings . Kovanović, V., Scheffel, M., Pinkwart, N. & Verbert, K. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 392-401 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Analytics of time management strategies in a flipped classroom

Ahmad Uzir, N., Gašević, D., Matcha, W., Jovanović, J. & Pardo, A., 2020, In : Journal of Computer Assisted Learning. 36, 1, p. 70-88 19 p.

Research output: Contribution to journalArticleResearchpeer-review

Analyzing the consistency in within-activity learning patterns in blended learning

Sher, V., Hatala, M. & Gaševic, D., 2020, LAK 2020 Conference Proceedings . Kovanović, V., Scheffel, M., Pinkwart, N. & Verbert, K. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 1-10 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Assessing the validity of a learning analytics expectation instrument: a multinational study

Whitelock-Wainwright, A., Gašević, D., Tsai, Y. S., Drachsler, H., Scheffel, M., Muñoz-Merino, P. J., Tammets, K. & Delgado Kloos, C., 2020, (Accepted/In press) In : Journal of Computer Assisted Learning. 32 p.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Press / Media

COVID-19: The steep learning curve for online education

Dragan Gasevic

26/04/20

1 Media contribution

Press/Media: Expert Comment

Here are key differences between online and face-to-face teaching

Dragan Gasevic

31/03/20

1 Media contribution

Press/Media: Expert Comment

Learning analytics: a better way to measure student satisfaction

Dragan Gasevic

27/05/17

1 Media contribution

Press/Media: Expert Comment