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Model-Based Support for Collaborative Concept Mapping in Open-ended Domains

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Augmented Intelligence and Intelligent Tutoring Systems (ITS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13891))

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Abstract

This paper presents a concept of model-based support for collaborative learning using concept mapping, which is a tool for externalizing learners’ knowledge. The proposed support for this activity uses computational modeling of the process of constructing knowledge building. This paper first proposes cognitive models of individual and collaborative concept mapping based on the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture. We then discuss a method for supporting concept mapping in both individual and collaborative learning situations based on the proposed cognitive models.

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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., Kano, M., Shimojo, S., Ohmoto, Y., Hayashi, Y. (2023). Model-Based Support for Collaborative Concept Mapping in Open-ended Domains. In: Frasson, C., Mylonas, P., Troussas, C. (eds) Augmented Intelligence and Intelligent Tutoring Systems. ITS 2023. Lecture Notes in Computer Science, vol 13891. Springer, Cham. https://doi.org/10.1007/978-3-031-32883-1_37

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  • DOI: https://doi.org/10.1007/978-3-031-32883-1_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-32882-4

  • Online ISBN: 978-3-031-32883-1

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