Tools and Methods for ‘4E Analysis’: New lenses for analyzing interaction in CSCL

Rolf Steier , Ben Rydal Shapiro, Dimitra Christidou, Palmyre Pierroux, Jacob Davidsen, Rogers Hall

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

This symposium aims to expand the use of and perspectives on Interaction Analysis
(IA) and related methods in CSCL, and to explore new ways of collecting, editing, visualizing
and sharing research data, including video and location-based data. We bring the development
and use of novel digital tools and IA methods to the foreground and invite participants to join
us in reflecting on and designing the next phase of IA in CSCL, which in keeping with the theme
of the conference is coined 4E Analysis. During the session, we will share, compare and contrast
four different digital tools and new approaches to studying collaborative learning that have been
recently developed by CSCL researchers from across three different countries and five
universities.
Original languageEnglish
Title of host publicationA Wide Lens : Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings
EditorsKristine Lund, Gerald P. Niccolai, Elise Lavoue, Cindy Hmelo-Silver, Gahgene Gweon, Michael Baker
Number of pages8
Volume2
PublisherInternational Society of the Learning Sciences (ISLS)
Publication date2019
Pages759-766
ISBN (Electronic)978-1-7324672-4-8
Publication statusPublished - 2019
Event13th International Conference on Computer Supported Collaborative Learning 2019: A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - Lyon, France
Duration: 17 Jun 201921 Sep 2019

Conference

Conference13th International Conference on Computer Supported Collaborative Learning 2019
Country/TerritoryFrance
CityLyon
Period17/06/201921/09/2019
SeriesComputer-Supported Collaborative Learning
ISSN1573-4552

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