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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.
Authors: Vale, Eamon1, Falloon, Garry1
Source: Online Learning. Mar2024, Vol. 28 Issue 1, p44-68. 25p.
Subject Terms: *Active learning, *Online education, *Learning, *Interactive learning, *Classroom environment
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. [ABSTRACT FROM AUTHOR]
Copyright of Online Learning is the property of Online Learning Consortium and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Online Learning is the property of Online Learning Consortium and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.24059/olj.v28i1.3675
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      – Code: eng
        Text: English
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      – SubjectFull: Active learning
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      – SubjectFull: Learning
        Type: general
      – SubjectFull: Interactive learning
        Type: general
      – SubjectFull: Classroom environment
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              Text: Mar2024
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