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Conference Paper: Examining and Scaffolding Collective Idea Improvement in Knowledge Building Using Analytics and Meta-Discourse

TitleExamining and Scaffolding Collective Idea Improvement in Knowledge Building Using Analytics and Meta-Discourse
Authors
Issue Date10-Jun-2023
Abstract
Knowledge Building (KB) engages students in meta-discourse to improve collective ideas. Multiple studies have examined the roles of learning analytical tools in supporting meta-discourse, while this study focused on the supportive roles of the KF-embedded tools. We designed a learning environment that engages meta-discourse among students with the assistance of word cloud and idea-building tools, both of which are embedded in KF. A total of 22 Singapore secondary school students participated in a six-weeks long study to learn photosynthesis in a KB learning environment. We adopted social network, inferential statistical, and semantic analyses. The results show that students’ learning gain is correlated with the number of posts in KF. In addition, the Learning Analytics-augmented meta-discourse supported students’ KF participation and collective idea improvement. Qualitative analysis showed how students engaged in meta-discourse sessions. The methodological and practical contributions were discussed.

Persistent Identifierhttp://hdl.handle.net/10722/338770

 

DC FieldValueLanguage
dc.contributor.authorYu, Y-
dc.contributor.authorChan, C K-
dc.contributor.authorTeo, C L-
dc.contributor.authorChen, G-
dc.date.accessioned2024-03-11T10:31:23Z-
dc.date.available2024-03-11T10:31:23Z-
dc.date.issued2023-06-10-
dc.identifier.urihttp://hdl.handle.net/10722/338770-
dc.description.abstract<table><tbody><tr><td>Knowledge Building (KB) engages students in meta-discourse to improve collective ideas. Multiple studies have examined the roles of learning analytical tools in supporting meta-discourse, while this study focused on the supportive roles of the KF-embedded tools. We designed a learning environment that engages meta-discourse among students with the assistance of word cloud and idea-building tools, both of which are embedded in KF. A total of 22 Singapore secondary school students participated in a six-weeks long study to learn photosynthesis in a KB learning environment. We adopted social network, inferential statistical, and semantic analyses. The results show that students’ learning gain is correlated with the number of posts in KF. In addition, the Learning Analytics-augmented meta-discourse supported students’ KF participation and collective idea improvement. Qualitative analysis showed how students engaged in meta-discourse sessions. The methodological and practical contributions were discussed.</td></tr></tbody></table>-
dc.languageeng-
dc.relation.ispartofThe 3rd Annual Meeting of the International Society of the Learning Sciences (ISLS) (10/06/2023-15/06/2023, Montreal)-
dc.titleExamining and Scaffolding Collective Idea Improvement in Knowledge Building Using Analytics and Meta-Discourse-
dc.typeConference_Paper-
dc.identifier.doi10.22318/cscl2023.276803-

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