Demographic indicators influencing learning activities in MOOCs: Learning analytics of futurelearn courses

Shi, L ORCID: 0000-0001-7119-3207 and Cristea, AI (2018) Demographic indicators influencing learning activities in MOOCs: Learning analytics of futurelearn courses. In: The 27th International Conference on Information Systems Development (ISD2018), 2018-8-22 - 2018-8-24, Lund.

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Abstract

Big data and analytics for educational information systems, despite having gained researchers’ attention, are still in their infancy and will take years to mature. Massive open online courses (MOOCs), which record learner-computer interactions, bring unprecedented opportunities to analyse learner activities at a very fine granularity, using very large datasets. To date, studies have focused mainly on dropout and completion rates. This study explores learning activities in MOOCs against their demographic indicators. In particular, pre-course survey data and online learner interaction data collected from two MOOCs, delivered by the University of Warwick, in 2015, 2016, and 2017, are used, to explore how learner demographic indicators may influence learner activities. Recommendations for educational information system development and instructional design, especially when a course attracts a diverse group of learners, are provided.

Item Type:	Conference or Workshop Item (Unspecified)
Depositing User:	Symplectic Admin
Date Deposited:	01 Aug 2018 07:38
Last Modified:	19 Jan 2023 01:29
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3024431