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Durham Research Online
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Exploring Navigation Styles in a FutureLearn MOOC

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.

Abstract

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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Status:Peer-reviewed
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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