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Computer‐supported collaborative learning: a research framework

Yuan Long (Computer Information Systems, Colorado State University‐Pueblo, Pueblo, Colorado, USA)
Fiona Fui‐Hoon Nah (Department of Business and Information Technology, Missouri University of Science and Technology, Rolla, Missouri, USA)
Brenda Eschenbrenner (Department of Accounting & Finance, University of Nebraska at Kearney, Kearney, Nebraska, USA)
Terrance Schoonover (Department of Information Systems and Quantitative Analysis, University of Nebraska at Omaha, Omaha, Nebraska, USA)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 19 April 2013

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Abstract

Purpose

The purpose of this paper is to propose a computer‐supported collaborative learning (CSCL) research framework.

Design/methodology/approach

The framework was developed from a review and synthesis of the literature. More specifically, gaps in the literature were identified and a general framework for future CSCL research was proposed.

Findings

This paper proposes a research framework that identifies a fit profile between learning objectives, learning tasks, and technology in CSCL. The fit profile, in turn, is expected to influence users' learning processes and outcomes.

Research limitations/implications

This framework can serve as a foundation for future research in CSCL. More specifically, research should give consideration to the collaborative learning objective and task, which will vary in degrees of complexity and cognitive demands. Also, researchers will want to evaluate the level of sophistication of the CSCL technology, as well as its appropriateness for a given objective and task, which ultimately influences the learning process and outcomes.

Practical implications

Considerations and guidelines for development of CSCL applications are provided.

Originality/value

CSCL is an important research area that has attracted the attention of researchers from various disciplines (e.g. information systems, educational psychology). However, the findings are varied and sometimes conflict with each other. By emphasizing a fit profile between learning objectives, learning tasks, and technology, this paper proposes a theory‐based research framework to address the inconsistencies observed in the literature.

Keywords

Citation

Long, Y., Fui‐Hoon Nah, F., Eschenbrenner, B. and Schoonover, T. (2013), "Computer‐supported collaborative learning: a research framework", Industrial Management & Data Systems, Vol. 113 No. 4, pp. 605-623. https://doi.org/10.1108/02635571311322829

Publisher

:

Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

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