Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/63312
Title: Visualising Learning Pathways in MOOCs
Contributor(s): Lundqvist, Karsten Oster (author); Warburton, Steven  (author)orcid 
Publication Date: 2019
DOI: 10.1109/LWMOOCS47620.2019.8939659
Handle Link: https://hdl.handle.net/1959.11/63312
Abstract: 

It is difficult to get an understanding of learner behaviour within MOOCs. Commonly used metrics are not well suited for this. This paper describes a visualisation tool based on modified Sankey diagrams to explore learner paths through edX MOOCs. The tool visualises learners' progression through the learning material and their interaction with discussion forums. These diagrams can be filtered based on user demographies and behaviours. Automated clustering of users based on behaviour metrics is available to provide suggestions of different learner behaviours. Statistical tests are also included to allow hypothesis exploration by researchers. The tool was developed using a develops development method to improve the usability of the tool for MOOC learning designers and researchers.

Publication Type: Conference Publication
Source of Publication: Proceedings of 2019 IEEE Learning With MOOCS, LWMOOCS 2019, p. 185-190
Publisher: Institute of Electrical and Electronics Engineers
Place of Publication: United States of America
Fields of Research (FoR) 2020: 3901 Curriculum and pedagogy
Socio-Economic Objective (SEO) 2020: tbd
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Journal Article

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