Lei, S. and Cristea, A. I. (2018) 'In-depth exploration of engagement patterns in MOOCs.', in Web information systems engineering - WISE 2018 : 19th International Conference, Dubai, United Arab Emirates, November 12-15, 2018. Proceedings. Part II. Cham: Springer, pp. 395-409. Lecture notes in computer science. (11234).
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.
Item Type: | Book chapter |
---|---|
Full text: | (AM) Accepted Manuscript Download PDF (435Kb) |
Status: | Peer-reviewed |
Publisher Web site: | https://doi.org/10.1007/978-3-030-02925-8_28 |
Publisher statement: | The final publication is available at Springer via https://doi.org/10.1007/978-3-030-02925-8_28. |
Date accepted: | 17 July 2018 |
Date deposited: | 02 August 2018 |
Date of first online publication: | 21 October 2018 |
Date first made open access: | No date available |
Save or Share this output
Export: | |
Look up in GoogleScholar |