Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/6776
Title: Socio-Semantic Network Analysis of Knowledge Building Discourse: The Current State and Future Directions
Authors: Oshima, Jun
Oshima, Ritsuko
Keywords: Learning and Identity
Issue Date: Jun-2020
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.
URI: https://doi.dx.org/10.22318/icls2020.813
https://repository.isls.org//handle/1/6776
Appears in Collections:ICLS 2020

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