Sustaining online academic discussions: Identifying the characteristics of messages that receive responses. (October 2020)

• Record Type: Journal Article
• Authors: Chen, Gaowei; Lo, Chung Kwan; Hu, Liru
• Is Part Of: Computers & education. Volume 156(2020)
• Publication Date: 2020-10
• Subjects: Online discussion -- Discussion forum -- Responsiveness -- Non-formal learning -- Statistical discourse analysis; Education -- Data processing -- Periodicals; Education -- Periodicals; Computers -- Periodicals; Computer-Assisted Instruction -- Periodicals; Éducation -- Informatique -- Périodiques; Electronic journals; 370.285
• DOI: 10.1016/j.compedu.2020.103938
• Languages: English
• ISSNs: 0360-1315

Abstract

Abstract: More 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. Highlights: Characteristics of messages matter in eliciting responses in online discussions. Messages that disagree with previous ideas are likely to receive responses. Messages that contain correct or wrong ideas are likely to receive responses. Messages that ask questions are likely to receive responses. Prompt replies and early-stage messages are likely to receive responses.