Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/9183
Title: Understanding Idea Creation in Collaborative Discourse Through Networks: The Joint Attention–Interaction–Creation (AIC) Framework
Authors: Zhu, Xinran
Chen, Bodong
Keywords: CSCL
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Zhu, X. & Chen, B. (2023). Understanding idea creation in collaborative discourse through networks: The joint attention–interaction–creation (AIC) framework. In Damșa, C., Borge, M., Koh, E., & Worsley, M. (Eds.), Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023 (pp. 155-162). International Society of the Learning Sciences.
Abstract: In Computer-Supported Collaborative Learning, ideas generated through collaborative discourse are informative indicators of students’ learning and collaboration. Idea creation is a product of emergent and interactive socio-cognitive endeavors. Therefore, analyzing ideas requires capturing contextual information in addition to the ideas themselves. In this paper, we propose the Joint Attention–Interaction–Creation (AIC) framework, which captures important dynamics in collaborative discourse, from attention and interaction to creation. The framework was developed from the networked lens, informed by natural language processing techniques, and inspired by socio-semantic network analysis. A case study was included to exemplify the framework’s application in classrooms and to illustrate its potential in broader contexts.
Description: Long Paper
URI: https://doi.org/10.22318/cscl2023.149514
https://repository.isls.org//handle/1/9183
Appears in Collections:ISLS Annual Meeting 2023

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