A review on the ways to determine at-risk students in online learning
by Si Na Kew; Zaidatun Tasir
International Journal of Digital Enterprise Technology (IJDET), Vol. 2, No. 1, 2022

Abstract: The systematic review on the ways to identify at-risk students is still limited. Hence, the purpose of this paper is to review the related papers so as to show a clear picture on the way to identify at-risk students by analysing their learning behaviours in online learning, including: 1) a brief introduction of each related research; 2) the purpose and the setting of the research; 3) the determinant of at-risk students; 4) the types of data being analysed to find out at-risk students; 5) the kind of tools or analytics methods used to determine at-risk students; 6) the strategies or intervention being suggested or applied to assist at-risk students. The results show that most of the data analytics techniques such as regression analysis have successfully identified at-risk students. Moreover, the determinant of at-risk students such as course grades, etc., and different strategies and intervention are summarised in this paper.

Online publication date: Mon, 22-Aug-2022

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