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Effects of signalling mechanisms on cognitive engagement with educational videos in informal learning on social media.

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Title: Effects of signalling mechanisms on cognitive engagement with educational videos in informal learning on social media.
Authors: Shen, Zixing, Tan, Songxin, Pritchard, Michael J.
Source: Behaviour & Information Technology. Oct2024, Vol. 43 Issue 12, p2765-2784. 20p.
Subjects: Social media, Audiovisual materials, Pearson correlation (Statistics), Philosophy of education, Mathematics, Data analysis, Multiple regression analysis, Consumer attitudes, Signal processing, Descriptive statistics, Online education, Communication, Statistics, Learning strategies, Cognitive styles, Visual perception, Patient participation, Cognition, Video recording
Abstract: The proliferation of videos with educational purposes on social media offers unprecedented opportunities for informal learning in virtual space. Yet, research on learner engagement with educational videos in informal learning on social media has been scarce, despite its central role in learning. This study addresses this research gap. Specifically, we investigate how signalling mechanisms (signals and anchors) affect cognitive engagement. We sample YouTube educational videos and analyse the effects of signals and anchors on cognitive engagement on Reddit. Our analyses show that different signals and anchors affect cognitive engagement differently. Textual signals positively associate with cognitive engagement, while visual signals do not. Mathematical models are negatively related to cognitive engagement, and physical models are not correlated with cognitive engagement significantly. Our findings provide valuable empirical knowledge on cognitive engagement with educational videos on social media. This study enriches the understanding of signalling mechanisms and extends the literature on educational videos and multimedia learning. It is also beneficial for video designers and developers to optimise cognitive engagement with the appropriate use of signals and anchors and make online experiences more engaging. [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd 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: Psychology and Behavioral Sciences Collection
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  Data: Effects of signalling mechanisms on cognitive engagement with educational videos in informal learning on social media.
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  Data: <searchLink fieldCode="AR" term="%22Shen%2C+Zixing%22">Shen, Zixing</searchLink><br /><searchLink fieldCode="AR" term="%22Tan%2C+Songxin%22">Tan, Songxin</searchLink><br /><searchLink fieldCode="AR" term="%22Pritchard%2C+Michael+J%2E%22">Pritchard, Michael J.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Behaviour+%26+Information+Technology%22">Behaviour & Information Technology</searchLink>. Oct2024, Vol. 43 Issue 12, p2765-2784. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Audiovisual+materials%22">Audiovisual materials</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Philosophy+of+education%22">Philosophy of education</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics%22">Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+attitudes%22">Consumer attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br /><searchLink fieldCode="DE" term="%22Communication%22">Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+strategies%22">Learning strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+styles%22">Cognitive styles</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+participation%22">Patient participation</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Video+recording%22">Video recording</searchLink>
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  Data: The proliferation of videos with educational purposes on social media offers unprecedented opportunities for informal learning in virtual space. Yet, research on learner engagement with educational videos in informal learning on social media has been scarce, despite its central role in learning. This study addresses this research gap. Specifically, we investigate how signalling mechanisms (signals and anchors) affect cognitive engagement. We sample YouTube educational videos and analyse the effects of signals and anchors on cognitive engagement on Reddit. Our analyses show that different signals and anchors affect cognitive engagement differently. Textual signals positively associate with cognitive engagement, while visual signals do not. Mathematical models are negatively related to cognitive engagement, and physical models are not correlated with cognitive engagement significantly. Our findings provide valuable empirical knowledge on cognitive engagement with educational videos on social media. This study enriches the understanding of signalling mechanisms and extends the literature on educational videos and multimedia learning. It is also beneficial for video designers and developers to optimise cognitive engagement with the appropriate use of signals and anchors and make online experiences more engaging. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd 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: 10.1080/0144929X.2023.2259004
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        Text: English
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    Subjects:
      – SubjectFull: Social media
        Type: general
      – SubjectFull: Audiovisual materials
        Type: general
      – SubjectFull: Pearson correlation (Statistics)
        Type: general
      – SubjectFull: Philosophy of education
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      – SubjectFull: Mathematics
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      – SubjectFull: Data analysis
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      – SubjectFull: Multiple regression analysis
        Type: general
      – SubjectFull: Consumer attitudes
        Type: general
      – SubjectFull: Signal processing
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Online education
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      – SubjectFull: Communication
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      – SubjectFull: Statistics
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      – SubjectFull: Learning strategies
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      – SubjectFull: Cognitive styles
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      – SubjectFull: Visual perception
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      – SubjectFull: Patient participation
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      – SubjectFull: Cognition
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      – SubjectFull: Video recording
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      – TitleFull: Effects of signalling mechanisms on cognitive engagement with educational videos in informal learning on social media.
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            NameFull: Shen, Zixing
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              M: 10
              Text: Oct2024
              Type: published
              Y: 2024
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