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Is critical thinking happening? Testing content analysis schemes applied to MOOC discussion forums

Is critical thinking happening? Testing content analysis schemes applied to MOOC discussion forums
Is critical thinking happening? Testing content analysis schemes applied to MOOC discussion forums
Learners’ progress within computer‐supported collaborative learning environments is typically measured via analysis and interpretation of quantitative web interaction measures. However, the usefulness of these “proxies for learning” is questioned as they do not necessarily reflect critical thinking—an essential component of collaborative learning. Research indicates that pedagogical content analysis schemes have value in measuring critical discourse in small scale, formal, online learning environments, but research using these methods on high volume, informal, Massive Open Online Course (MOOC) forums is less common. The challenge in this setting is to develop valid and reliable indicators that operate successfully at scale. In this study, we test two established coding schemes used for the pedagogical content analysis of online discussions in a large‐scale review of MOOC comment data. Pedagogical Scores are derived from manual ratings applied to comments by raters and correlated with automatically derived linguistic and interaction indicators. Results show that the content analysis methods are reliable, and are very strongly correlated with each other, suggesting that their specific format is not significant in this setting. In addition, the methods are strongly associated with the relevant linguistic indicators of higher levels of learning and have weaker correlations with other linguistic and interaction metrics. This suggests promise for further research using Machine Learning techniques, with the goal of providing realistic feedback to instructors, learners, and learning designers.
MOOC, content analysis, discussion forums, education
1099-0542
641-978
O'Riordan, Tim
5c7e3fd2-503a-46c7-9437-03ab6eaf18ab
Millard, David
4f19bca5-80dc-4533-a101-89a5a0e3b372
Schulz, John
a587472f-dde4-42fb-bc32-08d208d7fdf7
O'Riordan, Tim
5c7e3fd2-503a-46c7-9437-03ab6eaf18ab
Millard, David
4f19bca5-80dc-4533-a101-89a5a0e3b372
Schulz, John
a587472f-dde4-42fb-bc32-08d208d7fdf7

O'Riordan, Tim, Millard, David and Schulz, John (2020) Is critical thinking happening? Testing content analysis schemes applied to MOOC discussion forums. Computer Applications in Engineering Education, 29 (4), 641-978. (doi:10.1002/cae.22314).

Record type: Article

Abstract

Learners’ progress within computer‐supported collaborative learning environments is typically measured via analysis and interpretation of quantitative web interaction measures. However, the usefulness of these “proxies for learning” is questioned as they do not necessarily reflect critical thinking—an essential component of collaborative learning. Research indicates that pedagogical content analysis schemes have value in measuring critical discourse in small scale, formal, online learning environments, but research using these methods on high volume, informal, Massive Open Online Course (MOOC) forums is less common. The challenge in this setting is to develop valid and reliable indicators that operate successfully at scale. In this study, we test two established coding schemes used for the pedagogical content analysis of online discussions in a large‐scale review of MOOC comment data. Pedagogical Scores are derived from manual ratings applied to comments by raters and correlated with automatically derived linguistic and interaction indicators. Results show that the content analysis methods are reliable, and are very strongly correlated with each other, suggesting that their specific format is not significant in this setting. In addition, the methods are strongly associated with the relevant linguistic indicators of higher levels of learning and have weaker correlations with other linguistic and interaction metrics. This suggests promise for further research using Machine Learning techniques, with the goal of providing realistic feedback to instructors, learners, and learning designers.

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Accepted/In Press date: 19 July 2020
Published date: 27 August 2020
Additional Information: Funding Information: This study was supported in part by a grant from EPSRC, award: 1383089. Publisher Copyright: © 2020 The Authors. Computer Applications in Engineering Education published by Wiley Periodicals LLC
Keywords: MOOC, content analysis, discussion forums, education

Identifiers

Local EPrints ID: 444077
URI: http://eprints.soton.ac.uk/id/eprint/444077
ISSN: 1099-0542
PURE UUID: d9e30c5f-d26c-4bb1-8b81-6420ac448f68
ORCID for David Millard: ORCID iD orcid.org/0000-0002-7512-2710

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Date deposited: 24 Sep 2020 16:40
Last modified: 06 Jun 2024 01:37

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Contributors

Author: Tim O'Riordan
Author: David Millard ORCID iD
Author: John Schulz

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