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Title: Examining how Three Network Visualizations Influence Student Engagement in Online Discussions
Authors: Ouyang, Fan
Chen, Si
Li, Xu
Jiao, Pengcheng
Sun, Dan
Keywords: CSCL
Issue Date: Jun-2021
Publisher: International Society of the Learning Sciences
Citation: Ouyang, F., Chen, S., Li, X., Jiao, P., & Sun, D. (2021). Examining how Three Network Visualizations Influence Student Engagement in Online Discussions. In Hmelo-Silver, C. E., De Wever, B., & Oshima, J. (Eds.), Proceedings of the 14th International Conference on Computer-Supported Collaborative Learning - CSCL 2021 (pp. 153-156). Bochum, Germany: International Society of the Learning Sciences.
Abstract: Network visualization tools have been designed to demonstrate varied aspects of online discussions in order to foster student engagement. However, extant empirical studies have indicated controversial results of the effect of those tools on student engagement. This research designs network visualizations to demonstrate student engagement from varied perspectives, and further uses the mixed method to empirically investigate the effects of network visualizations on students’ cognitive structures. Empirical research results indicate the social network visualization has the best effect on leaderstudents’ cognitive engagement; topic network visualization lessens the cognitive differences between leaderand regular students; although peripheral students consistently have a low level of cognitive engagement, the cognitive network visualization improves their cognitive engagement. Based on the results, this research proposes integrated implications by considering learning theory, pedagogical support and tool development.
Appears in Collections:ISLS Annual Meeting 2021

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