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Using Social Learning Analytic Methods to Examine Social Construction of Knowledge in Online Discussions

Using Social Learning Analytic Methods to Examine Social Construction of Knowledge in Online... Analyzing how participants learn from each other during online forums on discussion boards or social media platforms is often challenging. One of the predominant methods of analyzing such learning is through qualitative content analysis or interaction analysis. The Interaction Analysis Model (IAM), developed by Gunawardena, Lowe and Anderson which qualitatively examines five levels of social construction of knowledge in online discussions has gained traction among researchers as a viable model for assessing how participants learn from each other. However, analyzing large amounts of textual data using this model can be time consuming. Therefore, this study explores how a social learning analytic method based on text analysis can be used to quantitatively analyze the five levels of knowledge construction stipulated in the IAM. Automating the analysis process will enable researchers and instructors to develop a snapshot of the process of social construction of knowledge in online discussions, and thereby make improvements to discussions to enhance collaborative learning as it unfolds. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png American Journal of Distance Education Taylor & Francis

Using Social Learning Analytic Methods to Examine Social Construction of Knowledge in Online Discussions

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Using Social Learning Analytic Methods to Examine Social Construction of Knowledge in Online Discussions

Abstract

Analyzing how participants learn from each other during online forums on discussion boards or social media platforms is often challenging. One of the predominant methods of analyzing such learning is through qualitative content analysis or interaction analysis. The Interaction Analysis Model (IAM), developed by Gunawardena, Lowe and Anderson which qualitatively examines five levels of social construction of knowledge in online discussions has gained traction among researchers as a viable...
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Publisher
Taylor & Francis
Copyright
© 2023 Taylor & Francis Group, LLC
ISSN
1538-9286
eISSN
0892-3647
DOI
10.1080/08923647.2023.2192597
Publisher site
See Article on Publisher Site

Abstract

Analyzing how participants learn from each other during online forums on discussion boards or social media platforms is often challenging. One of the predominant methods of analyzing such learning is through qualitative content analysis or interaction analysis. The Interaction Analysis Model (IAM), developed by Gunawardena, Lowe and Anderson which qualitatively examines five levels of social construction of knowledge in online discussions has gained traction among researchers as a viable model for assessing how participants learn from each other. However, analyzing large amounts of textual data using this model can be time consuming. Therefore, this study explores how a social learning analytic method based on text analysis can be used to quantitatively analyze the five levels of knowledge construction stipulated in the IAM. Automating the analysis process will enable researchers and instructors to develop a snapshot of the process of social construction of knowledge in online discussions, and thereby make improvements to discussions to enhance collaborative learning as it unfolds.

Journal

American Journal of Distance Education – Taylor & Francis

Published: Mar 25, 2023

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