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Integrating Knowledge in Collaborative Concept Mapping: Cases in an Online Class Setting

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Intelligent Tutoring Systems (ITS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12677))

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Abstract

The rapid spread of online learning has increased demand for promoting and grasping collaborative learning processes. In this paper, we present a multi-channel process analysis of collaborative knowledge building, using a custom-made concept map tool and the application of conventional videoconferencing. The analysis focused on a process of copying and merging elements from individually created maps to a collaboration map. The sequential calculation of edit distance between maps revealed characteristics of group dynamics. The group who successfully integrated concept maps deepened their understanding of the topic, while the other group engaging shallow cooperation failed to build mutual understanding. The result shows the effectiveness of collaborative concept mapping in grasping online collaborative learning.

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Acknowledgements

This work was supported by JSPS KAKENHI Grant Number JP20H04299.

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Correspondence to Junya Morita .

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Morita, J., Ohmoto, Y., Hayashi, Y. (2021). Integrating Knowledge in Collaborative Concept Mapping: Cases in an Online Class Setting. In: Cristea, A.I., Troussas, C. (eds) Intelligent Tutoring Systems. ITS 2021. Lecture Notes in Computer Science(), vol 12677. Springer, Cham. https://doi.org/10.1007/978-3-030-80421-3_12

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  • DOI: https://doi.org/10.1007/978-3-030-80421-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80420-6

  • Online ISBN: 978-3-030-80421-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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