Using Learning Analytics to Understand K–12 Learner Behavior in Online Video-Based Learning
| Autor: | Eamon Vale, Garry Falloon |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Online Learning, Vol 28, Iss 1 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2472-5749 2472-5730 |
| DOI: | 10.24059/olj.v28i1.3675 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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