Rethinking Coding and Network Approaches in CSCL: From Words and Codes to Inferences in a Transactional Perspective.
This article examines the diverse methodological approaches used in seven studies on collaborative learning, highlighting how different theoretical frameworks shape data collection, coding, and analysis methods. It emphasizes the predominance of multimodal data sources—including discourse, behaviora...
| Publicado en: | Journal of Computer Assisted Learning Vol. 42; no. 4; pp. 1 - 9 |
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| Formato: | editorial tables/charts Journal Article |
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Wiley-Blackwell
Aug2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195655219&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195655219 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Aug2026 vid: 42 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 195655219 195655219 195655219 10.1002/jcal.70292 195655219 ppf: 1 ppct: 8 formats: tig: atl: Rethinking Coding and Network Approaches in CSCL: From Words and Codes to Inferences in a Transactional Perspective. aug: au: Reimann, Peter affil: Faculty of Education and Social Work, The University of Sydney, Sydney New South Wales, , Australia sug: subj: Computer Communication Networks Research Methodology Evaluation Learning Methods Collaboration Coding, Computer-Assisted Research Instruments Resource Databases Data Analytics Data Analysis, Computer Assisted Forecasting Research Personnel Education Serial Publications Education, Interdisciplinary ab: This article examines the diverse methodological approaches used in seven studies on collaborative learning, highlighting how different theoretical frameworks shape data collection, coding, and analysis methods. It emphasizes the predominance of multimodal data sources—including discourse, behavioral traces, self-reports, and artifacts—and the use of both qualitative coding and advanced computational techniques such as network analysis, sequence mining, and machine learning. The article critically reflects on the interpretive nature of coding practices, noting their theory-laden and selective character, and advocates for incorporating participants’ perspectives and negative case analysis to enhance validity. Central to the discussion is a call for shifting from analyzing networks of words or codes toward modeling networks of inferences—structured relations among claims and reasons—to better capture the meaning-making and reasoning processes underlying collaborative learning. This inferential perspective aims to complement existing methods by representing how shared understanding and regulation emerge through evolving argumentative structures across interactions and contexts. pubtype: Academic Journal doctype: editorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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