Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/291
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dc.contributor.authorChounta, Irene-Angelica
dc.contributor.authorMcLaren, Bruce M.
dc.contributor.authorHarrell, Maralee
dc.date.accessioned2017-06-19T10:52:18Z
dc.date.accessioned2017-06-19T08:59:00Z-
dc.date.available2017-06-19T10:52:18Z
dc.date.available2017-06-19T08:59:00Z-
dc.date.issued2017-07
dc.identifier.citationChounta, I., McLaren, B. M., & Harrell, M. (2017). Building Arguments Together or Alone? Using Learning Analytics to Study the Collaborative Construction of Argument Diagrams In Smith, B. K., Borge, M., Mercier, E., and Lim, K. Y. (Eds.). (2017). Making a Difference: Prioritizing Equity and Access in CSCL, 12th International Conference on Computer Supported Collaborative Learning (CSCL) 2017, Volume 2. Philadelphia, PA: International Society of the Learning Sciences.en_US
dc.identifier.urihttps:dx.doi.org/10.22318/cscl2017.85
dc.identifier.urihttps://repository.isls.org/handle/1/291-
dc.description.abstractResearch has shown that the construction of visual representations may have a positive effect on cognitive skills, including argumentation. In this paper we present a study on learning argumentation through computer-supported argument diagramming. We specifically focus on whether students, when provided with an argument-diagramming tool, create better diagrams, are more motivated, and learn more when working with other students or on their own. We use learning analytics to evaluate a variety of student activities: pre and post questionnaires to explore motivational changes; the argument diagrams created by students to evaluate richness, complexity and completion; and pre and post knowledge tests to evaluate learning gains.en_US
dc.language.isoenen_US
dc.publisherPhiladelphia, PA: International Society of the Learning Sciences.en_US
dc.titleBuilding Arguments Together or Alone? Using Learning Analytics to Study the Collaborative Construction of Argument Diagramsen_US
dc.typeBook chapteren_US
Appears in Collections:CSCL 2017

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