Home PublicationsJRTEPast IssuesVolume 34 Number 1

	Edited by Dr. David J. Ayersman, Mary Washington College, and Dr. W. Michael Reed, New York University
formerly Journal of Research on Computing in Education

Volume 34 Number 1 Fall 2001

Potential of Computer-Supported Collaborative Learning for Learners with Different Learning Styles

X. Christine Wang, D. Michelle Hinn, and Alaina G. Kanfer
University of Illinois at Urbana-Champaign

Abstract
This study takes a close look at the effects of learning style with regard to an example of computer-supported collaborative learning (CSCL) called "Toward an Integrated Learning Environment" (TILE). It focuses on learning style changes, learning outcomes, and learner satisfaction. Formal data, such as the measurement of student learning style by Kolb’s Learning Style Inventory, were collected in several TILE-based courses. No changes in student learning styles and no significant differences in learning outcomes and learner satisfaction with regard to different learning styles were found. However, the results suggest that a potential benefit of CSCL environments is the support of diverse learning styles.

Web Links

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Contributors

X. Christine Wang is a doctoral student in Curriculum and Instruction at the University of Illinois and a research assistant at the National Center for Supercomputing Applications.

D. Michelle Hinn is a doctoral student in Educational Psychology at the University of Illinois and a research assistant at the National Center for Supercomputing Applications.

Alaina G. Kanfer is a research scientist at the National Center for Supercomputing Applications.

Contact

X. Christine Wang
Technology Research Group
National Center for Supercomputing Applications
University of Illinois at Urbana-Champaign
MC476—Fox II #117
605 E. Springfield
Champaign, IL 61820
x-wang12@uiuc.edu

Copyright © 2001, ISTE (International Society for Technology in Education). All rights reserved.