See the collaboration through the code: Using data mining and cordtra graphs to analyze blocks-based programming

Mike Tissenbaum, Vishesh Kumar

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

Abstract

This paper describes an exploratory study that leveraged data mining, qualitative analysis, and Chronologically-Ordered Representations of Discourse and Tool-Related Activity (CORDTRA) diagrams to identify and analyze key moments in students’ collaborative app building during a 12-week computing curriculum. Our analysis showed that two key practices emerged: 1) Students leveraged their past work and tutorials to support their app development, both on their own and with peers; and 2) Students largely developed their own parts of group apps without feedback from peers or referencing prior work. We discuss how patterns revealed in this mixed-methods approach affected how students constructed code, with an eventual goal of identifying how these patterns shaped students’ final projects.

Original languageEnglish (US)
Title of host publicationA Wide Lens
Subtitle of host publicationCombining 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
PublisherInternational Society of the Learning Sciences (ISLS)
Pages680-683
Number of pages4
ISBN (Electronic)9781732467248
StatePublished - Jan 1 2019
Event13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019 - Lyon, France
Duration: Jun 17 2019Jun 21 2019

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Volume2
ISSN (Print)1573-4552

Conference

Conference13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019
CountryFrance
CityLyon
Period6/17/196/21/19

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

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  • Cite this

    Tissenbaum, M., & Kumar, V. (2019). See the collaboration through the code: Using data mining and cordtra graphs to analyze blocks-based programming. In K. Lund, G. P. Niccolai, E. Lavoue, C. Hmelo-Silver, G. Gweon, & M. Baker (Eds.), A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings (pp. 680-683). (Computer-Supported Collaborative Learning Conference, CSCL; Vol. 2). International Society of the Learning Sciences (ISLS).