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).
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|
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|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|
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