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|Title:||Socio-Semantic Network Analysis of Knowledge Building Discourse: The Current State and Future Directions|
|Keywords:||Learning and Identity|
|Publisher:||International Society of the Learning Sciences (ISLS)|
|Citation:||Oshima, J. & Oshima, R. (2020). Socio-Semantic Network Analysis of Knowledge Building Discourse: The Current State and Future Directions. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 2 (pp. 813-814). Nashville, Tennessee: International Society of the Learning Sciences.|
|Abstract:||In knowledge building discourse, learners engage in improving their ideas by utilizing conceptual artifacts through collaborative discourse. Although qualitative analysis provides fine-grained pictures of knowledge building practices, the quantitative approach needs to be developed for handling extensive data and conducting more powerful analyses in the mixed-methods. In this study, we discuss the current state of the quantitative analysis of kb discourse and possible future directions with the development of algorithms and technologies.|
|Appears in Collections:||ICLS 2020|
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