Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/7518
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dc.contributor.authorOhsaki, Ayano
dc.contributor.authorOshima, Jun
dc.coverage.spatialBochum, Germanyen_US
dc.date.accessioned2021-10-09T15:50:11Z
dc.date.accessioned2021-10-09T19:53:23Z-
dc.date.available2021-10-09T15:50:11Z
dc.date.available2021-10-09T19:53:23Z-
dc.date.issued2021-06
dc.identifier.citationOhsaki, A. & Oshima, J. (2021). Knowledge Creation Analytics for Jigsaw Instruction: Temporal Socio-Semantic Network Analysis. In de Vries, E., Hod, Y., & Ahn, J. (Eds.), Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021. (pp. 537-540). Bochum, Germany: International Society of the Learning Sciences.en_US
dc.identifier.urihttps://doi.dx.org/10.22318/icls2021.537
dc.identifier.urihttps://repository.isls.org//handle/1/7518-
dc.description.abstractThis study aims to gain insight into how to design lesson plans with jigsaw instruction to promote knowledge creation. Collaborative learning has been discussed as a method for improving students’ learning. However, little research on jigsaw instruction analyzed from the knowledge creation perspective has been conducted. Previous research has resulted in the development of the new temporal socio-semantic network analytics (SSNA) to emphasize the visualization of ideas changing during the knowledge creation process. Therefore, we conducted temporal analysis on students’ learning of a more complex problem through jigsaw instruction than previous studies to examine the differences between high- and low-learning-outcome groups. The results of three investigations suggest that designing lessons such that they prompt students to engage in generative tasks can contribute to learning as knowledge creation.en_US
dc.format.extentpp. 537-540
dc.language.isoen_US
dc.publisherInternational Society of the Learning Sciencesen_US
dc.relation.ispartofProceedings of the 15th International Conference of the Learning Sciences - ICLS 2021.en_US
dc.subjectLearning Sciencesen_US
dc.titleKnowledge Creation Analytics for Jigsaw Instruction: Temporal Socio-Semantic Network Analysisen_US
dc.typeConference Paperen_US
dc.typeShort Paperen_US
Appears in Collections:ISLS Annual Meeting 2021

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