The role of demographics in online learning; a decision tree based approach
Faculty / School
Faculty of Computer Sciences (FCS)
Department of Computer Science
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Computers and Education
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.
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Rizvi, S., Rienties, B., & Khoja, S. A. (2019). The role of demographics in online learning; a decision tree based approach. Computers and Education, 137, 32-47. Retrieved from https://ir.iba.edu.pk/faculty-research-articles/96