Roger McDermott
A comparative analysis of two globally distributed group projects: A perspective from CSCW/CSCL research
McDermott, Roger; Daniels, Mats; Cajander, Asa; Bass, Julian; Lalchandani, JayPrakash
Authors
Mats Daniels
Asa Cajander
Prof Julian Bass J.Bass@salford.ac.uk
Professor of Software Engineering
JayPrakash Lalchandani
Abstract
Globally distributed group projects are becoming an attractive and increasingly common feature in computer science education. They provide opportunities for students to engage in activities that enhance both their technical skills and wider professional competencies with concomitant benefits for graduate employability. There have been some previous attempts to investigate these projects in terms of theories of technology use and collaborative learning, and this paper continues this process by examining globally distributed group projects from the perspective of salient issues in the fields of computer-supported cooperative work (CSCW) and computer-supported collaborative learning (CSCL). After detailing CSCW models that discuss the dimensions that characterise interaction and technology use in groups, we examine aspects of group learning from the perspective of theories of CSCL. Issues of cooperation versus collaboration, motivation for learning and models of group cognition are discussed in the context of two specific group projects. Analysis of these examples allows us to characterise behaviour within groups and provide insights that can facilitate the formation and effective development of project teams. This has important educational implications for the success of these distributed group projects.
Citation
McDermott, R., Daniels, M., Cajander, A., Bass, J., & Lalchandani, J. (2015). A comparative analysis of two globally distributed group projects: A perspective from CSCW/CSCL research. . https://doi.org/10.1109/fie.2015.7344344
Start Date | Oct 21, 2015 |
---|---|
End Date | Oct 24, 2015 |
Online Publication Date | Dec 7, 2015 |
Publication Date | 2015-10 |
Deposit Date | Dec 18, 2023 |
Publisher | Institute of Electrical and Electronics Engineers |
DOI | https://doi.org/10.1109/fie.2015.7344344 |
You might also like
A comparison of deep learning techniques for corrosion detection
(2022)
Conference Proceeding
Multi-cloud load distribution for three-tier applications
(2022)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search