Barr, M. (2018) Student attitudes to games-based skills development: learning from video games in higher education. Computers in Human Behavior, 80, pp. 283-294. (doi: 10.1016/j.chb.2017.11.030)
|
Text
151995.pdf - Published Version Available under License Creative Commons Attribution. 631kB |
Abstract
Qualitative interview data is presented in support of previously-published quantitative evidence that suggests commercial video games may be used to develop useful skills and competencies in undergraduate students. The purpose of the work described here was to document the attitudes of those students involved in the quantitative study and to explore how the game-based intervention was perceived. To this end, student attitudes to the use of specified games to develop communication skill, resourcefulness and adaptability are examined. A broadly positive perception of the games' efficacy for skills development is revealed, and the aspects of game play that students believe contribute to skills development are discussed. These aspects include the need to communicate with team mates in order to succeed, and the fluid, unpredictable nature of in-game challenges. It is suggested that while the games played an important role in skills development, interaction between students, facilitated by game play, was also a significant factor.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Barr, Dr Matthew |
| Authors: | Barr, M. |
| College/School: | College of Arts & Humanities > School of Humanities > Information Studies |
| Journal Name: | Computers in Human Behavior |
| Publisher: | Elsevier |
| ISSN: | 0747-5632 |
| ISSN (Online): | 1873-7692 |
| Published Online: | 21 November 2017 |
| Copyright Holders: | Copyright © 2017 The Author |
| First Published: | First published in Computers in Human Behavior 80: 283-294 |
| Publisher Policy: | Reproduced under a Creative Commons License |
University Staff: Request a correction | Enlighten Editors: Update this record
Altmetric
Altmetric