Representational tools in computer-supported collaborative argumentation-based learning: How dyads work with constructed and inspected argumentative diagrams

被引:68
|
作者
Van Arnelsvoort, Marije [1 ]
Andriessen, Jerry [1 ]
Kanselaar, Gellof [1 ]
机构
[1] Univ Utrecht, Res Ctr Learning Interact, NL-3508 TC Utrecht, Netherlands
关键词
D O I
10.1080/10508400701524785
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This article investigates the conditions under which diagrammatic representations support collaborative argumentation-based learning in a computer environment. Thirty dyads of 15- to 18-year-old students participated in a writing task consisting of 3 phases. Students prepared by constructing a representation (text or diagram) individually. Then they discussed the topic and wrote a text in dyads. They consolidated their knowledge by revising their individual representation. There were 3 conditions: Students could use either (a) the individual texts they wrote, (b) the individual diagrams they constructed, or (c) a diagram that was constructed for them based on the text they wrote. Results showed that students who constructed a diagram themselves explored the topic more than students in the other conditions. We also found differences in the way collaborating dyads used their representations. Dyads who engaged in deep discussion used their representations as a basis for knowledge construction. In contrast, dyads who engaged in only shallow discussion used their representations solely to copy information to their collaborative text. We conclude that diagrammatic representations can improve collaborative learning, but only when they are used in a co-constructive way.
引用
收藏
页码:485 / 521
页数:37
相关论文
共 50 条
  • [31] AI-driven learning analytics applications and tools in computer-supported collaborative learning: A systematic review
    Ouyang, Fan
    Zhang, Liyin
    EDUCATIONAL RESEARCH REVIEW, 2024, 44
  • [32] Computer-supported reflective learning: how apps can foster reflection at work
    Renner, Bettina
    Wesiak, Gudrun
    Pammer-Schindler, Viktoria
    Prilla, Michael
    Mueller, Lars
    Morosini, Dalia
    Mora, Simone
    Faltin, Nils
    Cress, Ulrike
    BEHAVIOUR & INFORMATION TECHNOLOGY, 2020, 39 (02) : 167 - 187
  • [33] Student preferences of communication tools for group projects in a computer-supported collaborative learning environment: A survey
    Arkilic, I. Guven
    Peker, Serhat
    Uyar, M. Erhan
    2ND WORLD CONFERENCE ON EDUCATIONAL TECHNOLOGY RESEARCH, 2013, 83 : 1121 - 1125
  • [34] An exploration of students' strategy use in inquiry-based computer-supported collaborative learning
    Salovaara, H
    JOURNAL OF COMPUTER ASSISTED LEARNING, 2005, 21 (01) : 39 - 52
  • [35] Facilitation of computer-supported collaborative learning in mixed- versus same-culture dyads: Does a collaboration script help?
    Popov, Vitaliy
    Biemans, Harm J. A.
    Brinkman, Dine
    Kuznetsov, Andrei N.
    Mulder, Martin
    INTERNET AND HIGHER EDUCATION, 2013, 19 : 36 - 48
  • [36] How Can Teachers Facilitate Computer-Supported Collaborative Learning? A Literature Review of Teacher Intervention in CSCL
    Zhang, Peng
    Hu, Qiuping
    Shang, Junjie
    BLENDED LEARNING: LESSONS LEARNED AND WAYS FORWARD, ICBL 2023, 2023, 13978 : 202 - 213
  • [37] Where is the evidence? A meta-analysis on the role of argumentation for the acquisition of domain-specific knowledge in computer-supported collaborative learning
    Wecker, Christof
    Fischer, Frank
    COMPUTERS & EDUCATION, 2014, 75 : 218 - 228
  • [38] Inquiry-based learning and retrospective action: Problematizing student work in a computer-supported learning environment
    Xenofontos, Nikoletta A.
    Hovardas, Tasos
    Zacharia, Zacharias C.
    de Jong, Ton
    JOURNAL OF COMPUTER ASSISTED LEARNING, 2020, 36 (01) : 12 - 28
  • [39] Visions of the good in computer-supported collaborative learning: unpacking the ethical dimensions of design-based research
    Etan Cohen
    Dani Ben-Zvi
    Yotam Hod
    International Journal of Computer-Supported Collaborative Learning, 2023, 18 : 135 - 143
  • [40] Visions of the good in computer-supported collaborative learning: unpacking the ethical dimensions of design-based research
    Cohen, Etan
    Ben-Zvi, Dani
    Hod, Yotam
    INTERNATIONAL JOURNAL OF COMPUTER-SUPPORTED COLLABORATIVE LEARNING, 2023, 18 (01) : 135 - 143