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Exploring Navigation Styles in a FutureLearn MOOC

Shi, Lei; Cristea, Alexandra I.; Toda, Armando M.; Oliveira, Wilk

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Lei Shi

Armando M. Toda

Wilk Oliveira


Vivekanandan Kumar

Christos Troussas


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).


Shi, L., Cristea, A. I., Toda, A. M., & Oliveira, W. (2020). Exploring Navigation Styles in a FutureLearn MOOC. In V. Kumar, & C. Troussas (Eds.), Intelligent Tutoring Systems (45-55). Springer Verlag.

Online Publication Date Jun 8, 2020
Publication Date 2020
Deposit Date Jun 18, 2020
Publicly Available Date Jun 8, 2021
Publisher Springer Verlag
Pages 45-55
Series Number 12149
Book Title Intelligent Tutoring Systems
ISBN 978-3-030-49662-3
Keywords MOOCs, Navigation, Learning Styles, Learning Analytics
Public URL
Contract Date Mar 20, 2020


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