Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Computer-enabled visual creativity: an empirically-based model with implications for learning and instruction

Jiajun, G., Islam, A.Y.M.A., Teo, T.ORCID: 0000-0002-7552-8497 and Spector, J.M. (2019) Computer-enabled visual creativity: an empirically-based model with implications for learning and instruction. Instructional Science, 47 (5). pp. 609-625.

Link to Published Version: https://doi.org/10.1007/s11251-019-09487-0
*Subscription may be required

Abstract

This study focuses on visual creativity and how it can be supported with computer technologies and thereby be used to support learning and instruction. However, studies related to computer-enabled visual creativity have not been frequently explored. As such, the current research proposes a model consisting of four major factors: (a) computer-aided visual art self-efficacy, (b) computer self-efficacy, (c) general creative self-efficacy, and (d) visual creativity. The aim is to explore the causal relationships among these factors so that they can then be used to support creativity, especially in the context of learning and instruction. To test the proposed model, this study firstly collected a total of 736 responses from an American public university to construct a scale using exploratory factor analyses and confirmatory factor analyses for three factors: (a) computer self-efficacy, (b) computer-aided visual art self-efficacy, and (c) general creative self-efficacy. Later, 164 responses were collected to analyze those hypothesized predictors of visual creativity and their relationships using structural equation modeling with Mplus. The results of the study indicate that computer self-efficacy was a significant predictor of computer-aided visual art self-efficacy, which in turn was a significant predictor of general creative self-efficacy. General creative self-efficacy, in turn, was a significant predictor of visual creativity. Finally, the study yielded a significant indirect effect of computer-aided visual art self-efficacy on visual creativity as mediated by general creative self-efficacy. Implications for learning and instruction are discussed as well as future studies to further research to develop relevant models of visual creativity in support of learning.

Item Type: Journal Article
Murdoch Affiliation: School of Education
Publisher: Springer Netherlands
Copyright: © 2019 Springer Nature B.V.
URI: http://researchrepository.murdoch.edu.au/id/eprint/45424
Item Control Page Item Control Page