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https://repository.isls.org//handle/1/843| Title: | An Analysis of Collective Knowledge Advancement and Emergent Nature of Ideas in Subject-Matter Learning |
| Authors: | Oshima, Jun Tsunakawa, Takashi |
| Issue Date: | Jul-2018 |
| Publisher: | International Society of the Learning Sciences, Inc. [ISLS]. |
| Citation: | Oshima, J. & Tsunakawa, T. (2018). An Analysis of Collective Knowledge Advancement and Emergent Nature of Ideas in Subject-Matter Learning. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 3. London, UK: International Society of the Learning Sciences. |
| Abstract: | The idea emergence is a critical nature of collective knowledge advancement in collaborative learning contexts. Although recent advancement of data-mining procedure makes it possible to detect emergent ideas, classroom teachers also like to know how much their students engaged in the discourse around their study topics. In this study, we propose an analysis combining socio-semantic network analysis for collective knowledge advancement and data-mining for detecting students’ ideas in their discourse. |
| URI: | https://doi.dx.org/10.22318/cscl2018.1757 https://repository.isls.org//handle/1/843 |
| Appears in Collections: | ICLS 2018 |
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