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Motivation Through Application:
Evaluating Virtual Reality for STEM Engagement

 

References​

  1. Cromley, J. G., Chen, R. & Lawrence, L. (2023). Meta-analysis of STEM learning using virtual reality: Benefits across the board. J Sci Educ Technol, 32, 355-364. https://doi.org/10.1007/s10956-023-10032-5 

  2. Liu, R., Wang, L., Lei, J., Wang, Q., & Ren, Y. (2020). Effects of an immersive virtual reality-based classroom on students’ learning performance in science lessons. British Journal of Educational Technology, 51(6), 2034-2049. https://doi.org/10.1111/bjet.13028 

  3. Liu, R., Wang, L., Koszalka, T. A., & Wan, K. (2022). Effects of immersive virtual reality classrooms on students’ academic achievement, motivation and cognitive load in science lessons. Journal of Computer Assisted Learning, 38(5), 1422-1433. https://doi.org/10.1111/jcal.12688

  4. Ruiz-Cantisani, M. I., Lima-Sagui, F. d. C., Aceves-Campos, N., Ipiña-Sifuentes, R., & Flores, E. G. R. (2020, April). Virtual Reality as a tool for active learning and student engagement: Industrial engineering experience. In 2020 IEEE Global Engineering Education Conference (EDUCON), 1031-1037. https://doi.org/10.1109/EDUCON45650.2020.9125225

  5. Hart, S. G. & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In Hancock P. A., Meshkati N. (Eds.), Human Mental Workload. Amsterdam: North Holland Press.    

  6. Makransky, G., Terkildsen, T., & Mayer, R. E. (2019). Adding immersive virtual reality to a science lab simulation causes more presence but less learning. Learning and Instruction, 60, 225-236. https://doi.org/10.1016/J.LEARNINSTRUC.2017.12.007 

  7. Chao, C.-J., Wu, S.-Y., Yau, Y.-J., Feng, W.-Y., & Tseng, F.-Y. (2017). Effects of three-dimensional virtual reality and traditional training methods on mental workload and training performance. Human Factors and Ergonomics in Manufacturing, 27(4), 187-196. https://doi.org/10.1002/hfm.20702 

  8. Reynolds, L. (2007). Measuring intrinsic motivations. In R. Reynolds, R. Woods, & J. Baker (Eds.), Handbook of Research on Electronic Surveys and Measurements (pp. 170-173). IGI Global. https://doi.org/10.4018/978-1-59140-792-8.ch018 

  9. Rosen, L. D., Whaling, K., Carrier, L. M, Cheever, N.A., & Rokkum, J. (2013). The media and technology usage and attitudes scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501-2511. http://doi.org/10.1016/j.chb.2013.06.006 

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