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The role of demographics in online learning; A decision tree based approach

Rizvi, Saman; Rienties, Bart and Khoja, Shakeel Ahmed (2019). The role of demographics in online learning; A decision tree based approach. Computers & Education, 137 pp. 32–47.

DOI (Digital Object Identifier) Link: https://doi.org/10.1016/j.compedu.2019.04.001
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Abstract

Research has shown online learners’ performance to have a strong association with their demographic characteristics, such as regional belonging, socio-economic standing, education level, age, gender, and disability status. Despite a growing number of studies exploring factors for successful online learning outcomes, most researchers have utilised one or a combination of very few learner characteristics. Moreover, a limited number of studies scrutinised the impact of individual characteristics on learning outcomes as learners progress in a course. The current research aims to explore the dynamic impact of demographic characteristics on academic outcomes in the online learning environment. We investigated and compared the dynamic influence of six demographic characteristics on online learning outcomes using a sample of 8581 UK based learners across four Open University online courses from four different disciplines. We found region, neighborhood poverty level, and prior education respectively, to be strong predictors of overall learning outcomes. However, at a fine-grain level, such influence varied temporally as the course progressed, as well as between different courses. To conclude with, we discussed the implications for institutional support on adopting a tailored approach towards a more personalised student support system.

Item Type: Journal Item
Copyright Holders: 2019 Elsevier Ltd
ISSN: 0360-1315
Keywords: Distance education and telelearning; Lifelong learning; Multimedia/hypermedia systems; Teaching/learning strategies
Academic Unit/School: Faculty of Wellbeing, Education and Language Studies (WELS)
Item ID: 60672
Depositing User: ORO Import
Date Deposited: 26 Apr 2019 10:18
Last Modified: 03 May 2019 11:05
URI: http://oro.open.ac.uk/id/eprint/60672
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