Connectivity for Knowledge Building: A Framework of Socio-Semantic Network Motif Analysis

Bodong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Productive knowledge-building discourse requires students to work as a collective to solve shared problems. Students need to engage with each other socially while continually producing ideas, debugging understanding, and rising above multiple ideas to build high-level knowledge structures. To investigate complex socio-cognitive dynamics in knowledge-building discourse, this paper proposes to model discourse as a socio-semantic network (SSN) and then use network motifs-defined as recurring, significant subgraphs-to characterize the network and the discourse. A framework of SSN motif analysis is proposed according to knowledge-building discourse processes. To demonstrate the utility of the framework, we applied it to discourse data from two classes. Results revealed distinct motif profiles of two classes across two discourse phases. The framework of SSN motif analysis shows promise as a novel, theoretically informed approach to discourse analysis.

Original languageEnglish (US)
Title of host publicationInternational Collaboration toward Educational Innovation for All
Subtitle of host publicationOverarching Research, Development, and Practices - 15th International Conference on Computer-Supported Collaborative Learning, CSCL 2022
EditorsArmin Weinberger, Wenli Chen, Davinia Hernandez-Leo, Bodong Chen
PublisherInternational Society of the Learning Sciences (ISLS)
Pages19-26
Number of pages8
ISBN (Electronic)9781737330646
StatePublished - 2022
Event15th International Conference on Computer-Supported Collaborative Learning, CSCL 2022 - Virtual, Online, Japan
Duration: Jun 6 2022Jun 10 2022

Publication series

NameProceedings of International Conference of the Learning Sciences, ICLS
ISSN (Print)1814-9316

Conference

Conference15th International Conference on Computer-Supported Collaborative Learning, CSCL 2022
Country/TerritoryJapan
CityVirtual, Online
Period6/6/226/10/22

Bibliographical note

Publisher Copyright:
© ISLS.

Keywords

  • discourse analysis
  • knowledge building
  • learning analytics
  • network analysis

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