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Personal profile


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. 

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 2018 2021

Evaluation of the KNeo ESP Application

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


Project: Research

Research Output 2003 2020

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

Exploring student information problem solving behaviour using fine-grained concept map and search tool data

Whitelock-Wainwright, A., Laan, N., Wen, D. & Gašević, D., Feb 2020, In : Computers and Education. 145, 18 p., 103731.

Research output: Contribution to journalArticleResearchpeer-review

A comparative study on question-worthy sentence selection strategies for educational question generation

Chen, G., Yang, J. & Gasevic, D., 2019, Artificial Intelligence in Education : 20th International Conference, AIED 2019 Chicago, IL, USA, June 25–29, 2019 Proceedings, Part I. Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B. & Luckin, R. (eds.). Cham Switzerland: Springer, p. 59-70 12 p. (Lecture Notes in Computer Science ; vol. 11625 ).

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

1 Citation (Scopus)

Analysing discussion forum data: a replication study avoiding data contamination

Farrow, E., Moore, J. & Gašević, D., 2019, Proceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK'19): Learning Analytics to Promote Inclusion and Success. Brooks, C., Ferguson, R. & Hoppe, U. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 170-179 10 p. (ACM International Conference Proceeding Series).

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

1 Citation (Scopus)

Analysing social presence in online discussions through network and text analytics

Rolim, V., Ferreira Leite De Mello, R., Kovanovic, V. & Gasevic, D., 2019, Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019. Chang, M., Sampson, D. G., Huang, R., Gomes, A. S., Chen, N-S., Bittencourt, I. I., K., Dermeval, D. & Bittencourt, I. M. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 163-167 5 p. 8820871

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