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Article: Sustaining Online Academic Discussions: Identifying the Characteristics of Messages that Receive Responses

TitleSustaining Online Academic Discussions: Identifying the Characteristics of Messages that Receive Responses
Authors
KeywordsOnline discussion
Discussion forum
Responsiveness
Non-formal learning
Statistical discourse analysis
Issue Date2020
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/compedu
Citation
Computers & Education, 2020, v. 156, p. article no. 103938 How to Cite?
AbstractMore and more students are learning via online academic discussions, posting messages in an attempt to discuss their learning problems. However, many messages do not receive responses. Posting messages that elicit responses is essential to students' experiences of learning through online discussions, but the characteristics of such messages are seldom studied. To fill this gap, this paper examines the relationship between the characteristics of an online discussion message and its likelihood of receiving a response from others. We conducted the study with a public, online discussion forum about high school-level mathematics—a non-formal learning environment that is not confined to a specific classroom. We randomly sampled 140 topics from the forum and analysed 1,559 reply messages using multilevel logistic regressions at the topic and message level. We found that during an online discussion, a message that either expressed disagreement, included a correct or incorrect idea, or asked a question was more likely to receive a response. Time was another significant predictor; messages posted during the early stage of a discussion or users who responded more promptly were more likely to receive a response. The findings contribute to the understanding of the discourse process and students’ learning behaviour in online academic discussions. We propose several recommendations for future research.
Persistent Identifierhttp://hdl.handle.net/10722/283040
ISSN
2023 Impact Factor: 8.9
2023 SCImago Journal Rankings: 3.651
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, G-
dc.contributor.authorLo, CK-
dc.contributor.authorHU, L-
dc.date.accessioned2020-06-05T06:24:17Z-
dc.date.available2020-06-05T06:24:17Z-
dc.date.issued2020-
dc.identifier.citationComputers & Education, 2020, v. 156, p. article no. 103938-
dc.identifier.issn0360-1315-
dc.identifier.urihttp://hdl.handle.net/10722/283040-
dc.description.abstractMore and more students are learning via online academic discussions, posting messages in an attempt to discuss their learning problems. However, many messages do not receive responses. Posting messages that elicit responses is essential to students' experiences of learning through online discussions, but the characteristics of such messages are seldom studied. To fill this gap, this paper examines the relationship between the characteristics of an online discussion message and its likelihood of receiving a response from others. We conducted the study with a public, online discussion forum about high school-level mathematics—a non-formal learning environment that is not confined to a specific classroom. We randomly sampled 140 topics from the forum and analysed 1,559 reply messages using multilevel logistic regressions at the topic and message level. We found that during an online discussion, a message that either expressed disagreement, included a correct or incorrect idea, or asked a question was more likely to receive a response. Time was another significant predictor; messages posted during the early stage of a discussion or users who responded more promptly were more likely to receive a response. The findings contribute to the understanding of the discourse process and students’ learning behaviour in online academic discussions. We propose several recommendations for future research.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/compedu-
dc.relation.ispartofComputers & Education-
dc.subjectOnline discussion-
dc.subjectDiscussion forum-
dc.subjectResponsiveness-
dc.subjectNon-formal learning-
dc.subjectStatistical discourse analysis-
dc.titleSustaining Online Academic Discussions: Identifying the Characteristics of Messages that Receive Responses-
dc.typeArticle-
dc.identifier.emailChen, G: gwchen@hku.hk-
dc.identifier.authorityChen, G=rp01874-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.compedu.2020.103938-
dc.identifier.scopuseid_2-s2.0-85085734459-
dc.identifier.hkuros310129-
dc.identifier.volume156-
dc.identifier.spagearticle no. 103938-
dc.identifier.epagearticle no. 103938-
dc.identifier.isiWOS:000557983800008-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0360-1315-

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