Publication Type
Journal Article
Version
acceptedVersion
Publication Date
4-2013
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
Learning methods, learning processes, Computer-based learning, Computer-supported collaborative learning, Collaborative learning technologies, Group support systems, Fit profile
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Industrial Management and Data Systems
Volume
113
Issue
4
First Page
605
Last Page
623
ISSN
0263-5577
Identifier
10.1108/02635571311322829
Citation
LONG, Yuan; NAH, Fiona Fui-hoon; Eschenbrenner, Brenda; and Schoonover, Terrance.
Computer-supported collaborative learning: A research framework. (2013). Industrial Management and Data Systems. 113, (4), 605-623.
Available at: https://ink.library.smu.edu.sg/sis_research/9939
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1108/02635571311322829
