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In-depth Exploration of Engagement Patterns in MOOCs

Lei, S.; Cristea, A.I.

In-depth Exploration of Engagement Patterns in MOOCs Thumbnail


Authors

S. Lei



Contributors

Hakim Hacid
Editor

Wojciech Cellary
Editor

Hua Wang
Editor

Hye-Young Paik
Editor

Rui Zhou
Editor

Abstract

With the advent of ‘big data’, various new methods have been proposed, to explore data in several domains. In the domain of learning (and e-learning, in particular), the outcomes lag somewhat behind. This is not unexpected, as e-learning has the additional dimensions of learning and engagement, as well as other psychological aspects, to name but a few, beyond ‘simple’ data crunching. This means that the goals of data exploration for e-learning are somewhat different to the goals for practically all other domains: finding out what students do is not enough, it is the means to the end of supporting student learning and increasing their engagement. This paper focuses specifically on student engagement, a crucial issue especially for MOOCs, by studying in much greater detail than previous work, the engagement of students based on clustering students according to three fundamental (and, arguably, comprehensive) dimensions: learning, social and assessment. The study’s value lies also in the fact that it is among the few studies using real-world longitudinal data (6 runs of a course, over 3 years) from a large number of students.

Citation

Lei, S., & Cristea, A. (2018). In-depth Exploration of Engagement Patterns in MOOCs. In H. Hacid, W. Cellary, H. Wang, H. Paik, & R. Zhou (Eds.), Web information systems engineering - WISE 2018 : 19th International Conference, Dubai, United Arab Emirates, November 12-15, 2018. Proceedings. Part II (395-409). https://doi.org/10.1007/978-3-030-02925-8_28

Conference Name Web Information Systems Engineering (WISE 2018)
Conference Location Dubai
Acceptance Date Jul 17, 2018
Online Publication Date Oct 21, 2018
Publication Date Oct 21, 2018
Deposit Date Jul 11, 2018
Publicly Available Date Aug 2, 2018
Pages 395-409
Series Title Lecture notes in computer science
Series Number 11234
Series ISSN 0302-9743,1611-3349
Book Title Web information systems engineering - WISE 2018 : 19th International Conference, Dubai, United Arab Emirates, November 12-15, 2018. Proceedings. Part II
ISBN 9783030029241
DOI https://doi.org/10.1007/978-3-030-02925-8_28
Public URL https://durham-repository.worktribe.com/output/1146488

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Copyright Statement
The final publication is available at Springer via https://doi.org/10.1007/978-3-030-02925-8_28.







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