Using Learning Analytics to Understand K–12 Learner Behavior in Online Video-Based Learning

Abstract

This research investigated the potential of learning analytics (LA) as a tool for identifying and evaluating student behaviours associated with active learning within an online learning environment. The study focused on the application of LA for evaluating student engagement in video-based learning – an area of inquiry highlighted in literature as needing further investigation. Results determined that the LA method could identify active learning behaviours, and that LA can play a valuable role in providing information on learner activity in autonomous learning environments. However, LA did not provide a complete picture of learner behaviour and viewing strategies, highlighting the importance of a multi-method approach to research on online learner behaviours. It is anticipated the accessible approach outlined in this study will provide educators with a viable means of using LA techniques to better understand how learners interact with course content and learning objects, greatly assisting the design of online learning programmes.

Keywords

• learning analytics
• ICAP framework
• video-based learning
• interactive learning environments
• active learning