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The Effects of Process and Content Facilitation Restrictiveness on GSS-Mediated Collaborative Learning

Author

Listed:
  • Mohamed Khalifa

    (City University of Hong Kong)

  • RonChi-Wai Kwok

    (State University of New York at Binghamton)

  • Robert Davison

    (City University of Hong Kong)

Abstract

Group Support Systems (GSS) technology, extensively applied in decision-making contexts, is now seeing increased application in the educational sector. Previous work has suggested that GSS applications can have significant positive effects on both the process and the outcome of collaborative learning. This study extends this work to examine the effects of process (high/low) and content (high/low) facilitation restrictiveness on GSS-supported collaborative learning. Our results indicate that content facilitation restrictiveness has no significant bearing on student learning. Process facilitation restrictiveness, on the other hand, is more influential, with knowledge acquisition by students requiring a low restrictive environment.

Suggested Citation

  • Mohamed Khalifa & RonChi-Wai Kwok & Robert Davison, 2002. "The Effects of Process and Content Facilitation Restrictiveness on GSS-Mediated Collaborative Learning," Group Decision and Negotiation, Springer, vol. 11(5), pages 345-361, September.
  • Handle: RePEc:spr:grdene:v:11:y:2002:i:5:d:10.1023_a:1020449317854
    DOI: 10.1023/A:1020449317854
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    References listed on IDEAS

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    1. Terri L. Griffith & Mark A. Fuller & Gregory B. Northcraft, 1998. "Facilitator Influence in Group Support Systems: Intended and Unintended Effects," Information Systems Research, INFORMS, vol. 9(1), pages 20-36, March.
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    Cited by:

    1. A. Adla & P. Zarate & J.-L. Soubie, 2011. "A Proposal of Toolkit for GDSS Facilitators," Group Decision and Negotiation, Springer, vol. 20(1), pages 57-77, January.
    2. Khalifa, Mohamed & Liu, Vanessa, 2008. "Semantic network representation of computer-mediated discussions: Conceptual facilitation form and knowledge acquisition," Omega, Elsevier, vol. 36(2), pages 252-266, April.
    3. Henner Gimpel & Vanessa Graf-Seyfried & Robert Laubacher & Oliver Meindl, 2023. "Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing," Group Decision and Negotiation, Springer, vol. 32(1), pages 75-124, February.
    4. Weiquan Wang & Izak Benbasat, 2013. "Research Note —A Contingency Approach to Investigating the Effects of User-System Interaction Modes of Online Decision Aids," Information Systems Research, INFORMS, vol. 24(3), pages 861-876, September.

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