Improving Learners’ Self-Efficacy in Performing Design Reviews with Virtual Reality

Author:

Castronovo Fadi,RazaviAlavi SeyedReza,Rodriguez Pablo Martinez

Abstract

Research on the use of innovative technology, such as virtual reality (VR), in Architecture, Engineering, and Construction (AEC) education, has been growing in the past twenty years. However, such research still requires robust investigation, as few studies have adopted educational psychology theories and rigorous methods. Furthermore, most of the research has focused on the cognitive effects of VR and additional research is also needed to investigate the affective effects, such as motivation, engagement, and self-efficacy. This study aims to evaluate the effects of technology decision-making between immersive virtual reality (IVR) and non-immersive virtual reality (nIVR) setups for a learning activity on AEC learners. For this, three hypotheses are formulated and tested on 165 UK students. Based on the results, both the designed IVR and nIVR learning activities had significant positive effects on learners’ self-efficacy and user experience with no significant difference between IVR and nIVR delivery. With this research, the authors contribute to the growing literature on VR implementation in AEC classrooms by showcasing a study founded on educational psychology theory and by using a rigorous research methodology. Furthermore, this study illustrates the effects that IVR and nIVR have on students’ affective learning and opens the possibility of new research in the field.

Publisher

International Council for Research and Innovation in Building and Construction

Reference47 articles.

1. Alfiah, S., S. Istiyati, and H. Mulyono. 2021. “Analisis penyebab rendahnya motivasi belajar dalam pembelajaran ips peserta didik kelas V sekolah dasar.” Didaktika Dwija Indria, 9 (5).

2. Boekaerts, M. 2002. “The On-line motivation questionnaire: A self-report instrument to assess students’ context sensitivity.” New directions in measures and methods, P. R. Pintrich and M. L. Maehr, eds., 77–120. Emerald Group Publishing.

3. Boton, C. 2018. “Supporting constructability analysis meetings with Immersive Virtual Reality-based collaborative BIM 4D simulation.” Automation in Construction, 96: 1–15. Elsevier.

4. Cohen, J. 1988. “Statistical power analysis for the behavioral sciences (2 ed.).” Hillsdale, NJ: Lawrence Erlbaum Associates.

5. Deci, E. L., and R. M. Ryan. 2002. “Self-determination research: Reflections and future directions.” University of Rochester Press.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3