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The learner characteristics, features of desktop 3D virtual reality environments, and college chemistry instruction: A structural equation modeling analysis
ARTICLE

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Computers & Education Volume 59, Number 2, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

We examined a model of the impact of a 3D desktop virtual reality environment on the learner characteristics (i.e. perceptual and psychological variables) that can enhance chemistry-related learning achievements in an introductory college chemistry class. The relationships between the 3D virtual reality features and the chemistry learning test as it relates to the selected perceptual (spatial orientation and usability) and psychological (self-efficacy and presence) variables were analyzed using the structural equation modeling approach. The results supported all the hypothesized relationships except one. Usability strongly mediated the relationship between 3D virtual reality features, spatial orientation, self-efficacy, and presence. Spatial orientation and self-efficacy had statistically significant, positive impact on the chemistry learning test. The results indicate that 3D virtual reality-based instruction is effective for enhancing students’ chemistry achievement. Overall, this study contributed a research model that can help increase the effectiveness of desktop virtual reality environments for enhancing spatial ability and science achievement. Moreover, this study provides insight to science educators, instructional designers, and multimedia developers who are interested in designing science-based instruction using instructional design principles.

Citation

Merchant, Z., Goetz, E.T., Keeney-Kennicutt, W., Kwok, O.m., Cifuentes, L. & Davis, T.J. (2012). The learner characteristics, features of desktop 3D virtual reality environments, and college chemistry instruction: A structural equation modeling analysis. Computers & Education, 59(2), 551-568. Elsevier Ltd. Retrieved March 29, 2020 from .

This record was imported from Computers & Education on January 29, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2012.02.004

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