Using Learning Analytics to Understand K-12 Learner Behavior in Online Video-Based Learning
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| Title: | Using Learning Analytics to Understand K-12 Learner Behavior in Online Video-Based Learning |
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| Language: | English |
| Authors: | Eamon Vale (ORCID |
| Source: | Online Learning. 2024 28(1):44-68. |
| Availability: | Online Learning Consortium, Inc. P.O. Box 1238, Newburyport, MA 01950. Tel: 888-898-6209; Fax: 888-898-6209; e-mail: olj@onlinelearning-c.org; Web site: https://olj.onlinelearningconsortium.org/index.php/olj/index |
| Peer Reviewed: | Y |
| Page Count: | 25 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Research Tests/Questionnaires |
| Education Level: | Elementary Education Secondary Education |
| Descriptors: | Learning Analytics, Elementary School Students, Secondary School Teachers, Electronic Learning, Video Technology, Learner Engagement, Teaching Methods, Foreign Countries |
| Geographic Terms: | Australia |
| ISSN: | 2472-5749 2472-5730 |
| Abstract: | This research investigated the potential of learning analytics (LA) as a tool for identifying and evaluating K-12 student behaviors associated with active learning when using video learning objects within an online learning environment (OLE). The study focused on the application of LA for evaluating K-12 student engagement in videobased learning--an area of inquiry highlighted in literature as important but significantly under-researched. Results determined that the LA method could identify active-learning behaviors and that LA can play a valuable role in providing information on learner activity in autonomous K-12 OLEs. However, LA did not provide a complete picture of learner behavior and viewing strategies, highlighting the importance of a multi-method approach to research on K-12 online learner behaviors. 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 programs. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1417958 |
| Database: | ERIC |
| Abstract: | This research investigated the potential of learning analytics (LA) as a tool for identifying and evaluating K-12 student behaviors associated with active learning when using video learning objects within an online learning environment (OLE). The study focused on the application of LA for evaluating K-12 student engagement in videobased learning--an area of inquiry highlighted in literature as important but significantly under-researched. Results determined that the LA method could identify active-learning behaviors and that LA can play a valuable role in providing information on learner activity in autonomous K-12 OLEs. However, LA did not provide a complete picture of learner behavior and viewing strategies, highlighting the importance of a multi-method approach to research on K-12 online learner behaviors. 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 programs. |
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| ISSN: | 2472-5749 2472-5730 |
