Shi, Lei and Cristea, Alexandra I. and Toda, Armando M. and Oliveira, Wilk (2020) 'Exploring Navigation Styles in a FutureLearn MOOC.', in Intelligent Tutoring Systems. , pp. 45-55.
This paper presents for the first time a detailed analysis of fine-grained navigation style identification in MOOCs backed by a large number of active learners. The result shows 1) whilst the sequential style is clearly in evidence, the global style is less prominent; 2) the majority of the learners do not belong to either category; 3) navigation styles are not as stable as believed in the literature; and 4) learners can, and do, swap between navigation styles with detrimental effects. The approach is promising, as it provides insight into online learners’ temporal engagement, as well as a tool to identify vulnerable learners, which potentially benefit personalised interventions (from teachers or automatic help) in Intelligent Tutoring Systems (ITS).
|Item Type:||Book chapter|
|Keywords:||MOOCs, Navigation, Learning Styles, Learning Analytics|
|Full text:||(AM) Accepted Manuscript|
Available under License - Creative Commons Attribution 4.0.
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|Publisher Web site:||https://doi.org/10.1007/978-3-030-49663-0_7|
|Date accepted:||20 March 2020|
|Date deposited:||14 April 2021|
|Date of first online publication:||08 June 2020|
|Date first made open access:||08 June 2021|
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