Exploring the Behavior Patterns of Students Accessing Online Learning Material in Online Course: A Case Study at Hung Vuong University

Abstract

Understanding students' behavior in online courses may provide teachers with useful information to improve their educational design and provide insights for content and instructional designers to develop personalized learning support. This research uses cluster analysis to explore learners' interaction with online learning materials behavior in an online course at Hung Vuong University, Vietnam and identified three clusters (Less-engaged students, Moderately-engaged students, and Highly-engaged students) which evince different behavior patterns with regards to the time spent interacting with various resources. Based on the findings, several suggestions are also proposed for future research.