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Utilising Learning Analytics to Support Student Success in Online Learning: A Case Study of an E-learning Course in Vietnam

Session Information

The growth of online learning has resulted in significant changes in language learning since it offers a variety of learning possibilities across time and geography with the help of technical developments. Despite the fact that numerous research has examined this topic, there is a scarcity of knowledge on the obstacles students face and the techniques they use to overcome them. Learning analytics, which encompasses the measurement, collecting, analysis, and reporting of information about learners and their settings for the sake of understanding and optimising learning, has emerged as a promising topic of research in recent years to alleviate hindrance faced by students in the online classroom. This convergent parallel mixed-method institutional research involves: a) an environmental scan conducted to explore possible correlations between learning analytics such as students' attendance, task completion time, and homework completion rate and their retention as well as academic achievement; and b) a thematic analysis of students' interview data to identify common topic and patterns associated with students' engagement. The preliminary data reveals that there exists a strong positive correlation between students' cognitive and behavioural engagement and their academic success. Furthermore, the flexibility of online learning and appropriacy of learning content emerge as key factors contributing to students' decisions on their continuity of learning. These tentative findings suggest a paramount need to provide a learning environment characterised by student individualisation with the diversification of virtual classroom interaction patterns and differentiation of learning materials to improve student engagement and thus guarantee the success of online students.

Sep 17, 2022 02:40 PM - 03:25 PM(Asia/Ho_Chi_Minh)
Venue : Poster No.130 (Meeting Hall No.2)
20220917T1440 20220917T1525 Asia/Ho_Chi_Minh Utilising Learning Analytics to Support Student Success in Online Learning: A Case Study of an E-learning Course in Vietnam

The growth of online learning has resulted in significant changes in language learning since it offers a variety of learning possibilities across time and geography with the help of technical developments. Despite the fact that numerous research has examined this topic, there is a scarcity of knowledge on the obstacles students face and the techniques they use to overcome them. Learning analytics, which encompasses the measurement, collecting, analysis, and reporting of information about learners and their settings for the sake of understanding and optimising learning, has emerged as a promising topic of research in recent years to alleviate hindrance faced by students in the online classroom. This convergent parallel mixed-method institutional research involves: a) an environmental scan conducted to explore possible correlations between learning analytics such as students' attendance, task completion time, and homework completion rate and their retention as well as academic achievement; and b) a thematic analysis of students' interview data to identify common topic and patterns associated with students' engagement. The preliminary data reveals that there exists a strong positive correlation between students' cognitive and behavioural engagement and their academic success. Furthermore, the flexibility of online learning and appropriacy of learning content emerge as key factors contributing to students' decisions on their continuity of learning. These tentative findings suggest a paramount need to provide a learning environment characterised by student individualisation with the diversification of virtual classroom interaction patterns and differentiation of learning materials to improve student engagement and thus guarantee the success of online students.

Poster No.130 (Meeting Hall No.2) VietTESOL International Convention 2022 convention@viettesol.org.vn
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