An Analysis of Learners’ Intentions Toward Virtual Reality Learning Based on Constructivist and Technology Acceptance Approaches
ARTICLE
Hsiu-Mei Huang, Department of Information Management National Taichung University of Science and Technology ; Shu-Sheng Liaw, General Education Center China Medical University
IRRODL Volume 19, Number 1, ISSN 1492-3831 Publisher: Athabasca University Press
Abstract
Within a constructivist paradigm, the virtual reality technology focuses on the learner's actively interactive learning processes and attempts to reduce the gap between the learner\u2019s knowledge and a real-life experience. Recently, virtual reality technologies have been developed for a wide range of applications in education, but further research is needed to establish appropriate and effective learning techniques and practices to motivate meaningful learning. Results showed that perceived self-efficacy and perceived interaction are two crucial factors affecting perceived ease of use, perceived usefulness and learning motivation. Furthermore, learning motivation is also a predictor to affect perceived usefulness. After that, perceived ease of use, perceived usefulness, and learning motivation are three important factors affecting learner intention to use the virtual reality learning environment.
Citation
Huang, H.M. & Liaw, S.S. (2018). An Analysis of Learners’ Intentions Toward Virtual Reality Learning Based on Constructivist and Technology Acceptance Approaches. The International Review of Research in Open and Distributed Learning, 19(1),. Athabasca University Press. Retrieved March 19, 2024 from https://www.learntechlib.org/p/182364/.
Keywords
References
View References & Citations Map- Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change, Psychological Review, 84, 191–215.
- Bandura, A. (1986). Social foundations of thought and action. Prentice Hall, Englewood Cliffs, NJ.
- Barclay, D., Thompson, R., & Higgins, C. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology Studies, 2(2), 285–309.
- Collins, A. (1988). Cognitive apprenticeship and instructional technology (Technical Report No. 6899). Cambridge, MA: BBN Labs Inc., 110
- Dunleavy, M., Dede, C., & Mitchell, R. (2009). Affordances and limitations of immersive participatory
- Guttentag, D.A. (2010). Virtual reality: Application and implications for tourism. Tourism Management, 31, 637-651.
- Herrington, J., & Oliver, R. (2000). An instructional design framework for authentic learning environments. Educational Technology, Research and Development, 48(3), 23–48.
- Hsiao K.-F., & Rashvand, H.F. (2011). Integrating body language movements in augmented reality learning environment. Human-centric Computing and Information Sciences, 1(1), 1-10.
- Huang, H.M., & Liaw, S.S. (2007). Exploring learners’ self-efficacy, autonomy and motivation toward e-learning. Perceptual and Motor Skills, 105, 581-586.
- Huang, H.M., Liaw, S.S., & Lai, C.M. (2016). Exploring learner acceptance of the use of virtual reality
- Huang, H.M., Rauch, U., & Liaw, S.-S. (2010). Investigating learners’ attitudes toward virtual reality learning environments: Based on a constructivist approach. Computers& Education, 55(3), 1171-1182.
- Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20, 195-203.
- Islam, A.K.M.N. (2013). Investigating e-learning system usage outcomes in the university context. Computers& Education, 69, 387–399.
- Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. NY: Cambridge University Press.
- Lee, D.Y., & Lehto, M.R. (2013). User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model. Computers& Education, 61, 193-208.
- Lee, G.A., & Kim, G.J. (2009). Immersive authoring of tangible augmented reality content: A user study. Journal of Visual Languages and Computing, 20, 61–79.
- Liaw, S.S., & Huang, H.M. (2013). Investigating self-regulation toward e-learning based on learner attitudes. Computers& Education, 60, 14-24.
- Liaw, S.S., & Huang, H.M. (2014): Investigating learner attitudes toward e-books as learning tools: based on the activity theory approach. Interactive Learning Environments, 24(3).
- Liaw, S.S., Huang, H.M., & Chen, G.D. (2007). Surveying instructor and learner attitudes toward E-learning environments. Computers& Education, 49(4), 1066-1080.
- Limniou, M., Roberts, D., & Papadopoulos, N. (2008). Full immersive virtual environment CAVETM in Chemistry education. Computer& Education, 51, 584-593.
- Liu, I.-F., Chen, M.C., Sun, Y.S., Wible, D., & Kuo, C-H. (2010). Extending the TAM model to explore
- Lombardi, M.M. (2007). Authentic learning for the 21st century: An overview (ELI Report No. 1). Boulder, CO: EDUCAUSE Learning Initiative.
- McLellan, H. (1994). Situated learning: Continuing the conversation. Educational Technology, 34(9), 7-8.
- Pan, Z., Cheok, A.D., Yang, H., Zhu, J., & Shi, J. (2006).Virtual reality and mixed reality for virtual learning environments. Computers& Graphics, 30, 20-28.
- Peterson, R. (2000). A meta-analysis of variance accounted for and factor loadings in exploratory factor analysis. Marketing Letters, 11, 261–275.
- Reeves, T.C. (1993).Interactive learning systems as mindtools. In P. Newhouse (Eds.), Viewpoints 2 (pp. 2-11, 29). Perth: ECAWA.
- Rubin, D. (1987). Multiple imputation for non-response in surveys. New York: John Wiley& Sons.
- Ryan, R.M., & Deci, E.L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new
- Shen, Y., Ong, S.K., & Nee, A.Y.C. (2010). Augmented reality for collaborative product design and development. Design Studies, 31, 118-145.
- Sherman, W.R., & Craig, A.B. (2003). Understanding virtual reality. New York: Morgan Kaufmann Publishers.
- Shim, K.-C., Park, J.-S., Kim, H.-S., Kim, J.-H., Park, Y.-C., & Ryu, H.I. (2003). Application of virtual reality technology in biology education. Journal of Biological Education, 37(2), 71-74.
- Sørebø, Ø., Halvari, H., Gulli, V.F., & Kristiansen, R. (2009). The role of self-determination theory in
- Thatcher, J., & Perrewé, P. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26(4), 381–396.
- Thomassen, A. & Rive, P. (2010). How to enable knowledge exchange in Second Life in design education? Learning, Media and Technology, 35(2), 155-169.
- Tsai, M.J. (2009). The model of strategic e-learning: Understanding and evaluating student e-learning from metacognitive perspective. Educational Technology& Society, 12(1), 34–48.
- Vankatesh, V., & Davis, F.D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
- Winn, W. (1997). The impact of three-dimensional immersive virtual environments on modern
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