Alavi, M., & Leidner, D. E. (2001). Research commentary: Technology-mediated learning—A call for greater depth and breadth of research. Information Systems Research, 12(1), 1–10.
Article
Google Scholar
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94.
Article
Google Scholar
Birchfield, D., & Megowan-Romanowicz, C. (2009). Earth science learning in SMALLab: A design experiment for mixed reality. International Journal of Computer-Supported Collaborative Learning, 4(4), 403–421.
Article
Google Scholar
Buń, P., Trojanowska, J., & Rewers, P. (2019). VR and AR in lean manufacturing classes. In J. Trojanowska, O. Ciszak, J. M. Machado, & I. Pavlenko (Eds.), Advances in manufacturing II (pp. 342–351). Springer International Publishing.
Chapter
Google Scholar
Chen, O., Kalyuga, S., & Sweller, J. (2017). The expertise reversal effect is a variant of the more general element interactivity effect. Educational Psychology Review, 29(2), 393–405.
Article
Google Scholar
Cruz-Neira, C., Sandin, D. J., DeFanti, T. A., Kenyon, R. V., & Hart, J. C. (1992). The CAVE: Audio visual experience automatic virtual environment. Communications of the ACM, 35(6), 65–72.
Article
Google Scholar
Dalgarno, B., & Lee, M. J. W. (2010). What are the learning affordances of 3-D virtual environments? British Journal of Educational Technology, 41(1), 10–32.
Article
Google Scholar
De Back, T. T., Tinga, A. M., Nguyen, P., & Louwerse, M. M. (2020). Benefits of immersive collaborative learning in CAVE-based virtual reality. International Journal of Educational Technology in Higher Education, 17(1), 51.
Article
Google Scholar
Fogarty, J., McCormick, J., & El-Tawil, S. (2018). Improving student understanding of complex spatial arrangements with virtual reality. Journal of Professional Issues in Engineering Education and Practice, 144(2), 04017013.
Article
Google Scholar
Fokides, E. (2017). A model for explaining primary school students’ learning outcomes when they use multi-user virtual environments. Journal of Computers in Education, 4(3), 225–250.
Article
Google Scholar
Fokides, E., & Atsikpasi, P. (2018). Development of a model for explaining the learning outcomes when using 3D virtual environments in informal learning settings. Education and Information Technologies, 23(5), 2265–2287.
Article
Google Scholar
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Article
Google Scholar
Fowler, C. (2015). Virtual reality and learning: Where is the pedagogy? British Journal of Educational Technology, 46(2), 412–422.
Article
Google Scholar
Friedenberg, J., & Silverman, G. (2006). Cognitive science: An introduction to the study of the mind. Sage Publications.
Google Scholar
Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64–74.
Article
Google Scholar
Hake, R. R. (2002). Lessons from the physics education reform effort. Conservation Ecology, 5(2), 1–33.
Article
Google Scholar
Halabi, O. (2020). Immersive virtual reality to enforce teaching in engineering education. Multimedia Tools and Applications, 79(3), 2987–3004.
Article
Google Scholar
Heeter, C. (1992). Being there: The subjective experience of presence. Presence: Teleoperators and Virtual Environments, 1(2), 262–271.
Article
Google Scholar
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.
Article
Google Scholar
Huang, H.-M., Liaw, S.-S., & Lai, C.-M. (2016). Exploring learner acceptance of the use of virtual reality in medical education: A case study of desktop and projection-based display systems. Interactive Learning Environments, 24(1), 3–19.
Article
Google Scholar
Jensen, L., & Konradsen, F. (2018). A review of the use of virtual reality head-mounted displays in education and training. Education and Information Technologies, 23(4), 1515–1529.
Article
Google Scholar
Kalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction. Educational Psychology Review, 19(4), 509–539.
Article
Google Scholar
Kalyuga, S. (2014). The expertise reversal principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (2nd ed., pp. 576–597). Cambridge University Press.
Chapter
Google Scholar
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational Psychologist, 38(1), 23–31.
Article
Google Scholar
Kamiska, D., Firych-Nowacka, A., Lefik, M., Zwoliski, G., Wiak, S., Petkovska, L., Cvetkovski, G., Di Barba, P., Mognaschi, M., & Anbarjafari, G. (2019). Learning in virtual reality: A case study in mechatronics. In Proceedings of the 19th international symposium on electromagnetic fields in mechatronics, electrical and electronic engineering (pp. 29–31). Nancy, France.
Kay, M., & Wobbrock, J. (2019). ARTool: Aligned rank transform for nonparametric factorial ANOVAs (R package version 0.10.6). Retrieved from https://github.com/mjskay/ARTool.
Knutzen, K. B. (2019). A hybrid model of experiential learning within the social virtual world of second life. Journal of Virtual Worlds Research, 12(2).
Lee, E.A.-L., Wong, K. W., & Fung, C. C. (2010). How does desktop virtual reality enhance learning outcomes? A structural equation modeling approach. Computers & Education, 55(4), 1424–1442.
Article
Google Scholar
Lessiter, J., Freeman, J., Keogh, E., & Davidoff, J. (2001). A cross-media presence questionnaire: The ITC-sense of presence inventory. Presence: Teleoperators and Virtual Environments, 10(3), 282–297.
Article
Google Scholar
Makransky, G., & Lilleholt, L. (2018). A structural equation modeling investigation of the emotional value of immersive virtual reality in education. Educational Technology Research and Development, 66(5), 1141–1164.
Article
Google Scholar
Makransky, G., & Petersen, G. B. (2019). Investigating the process of learning with desktop virtual reality: A structural equation modeling approach. Computers & Education, 134, 15–30.
Article
Google Scholar
Makransky, G., Terkildsen, T. S., & Mayer, R. E. (2017). Adding immersive virtual reality to a science lab simulation causes more presence but less learning. Learning and Instruction, 60, 225–236.
Article
Google Scholar
Maresky, H. S., Oikonomou, A., Ali, I., Ditkofsky, N., Pakkal, M., & Ballyk, B. (2019). Virtual reality and cardiac anatomy: Exploring immersive three-dimensional cardiac imaging, a pilot study in undergraduate medical anatomy education. Clinical Anatomy, 32(2), 238–243.
Article
Google Scholar
McFaul, H., & FitzGerald, E. (2020). A realist evaluation of student use of a virtual reality smartphone application in undergraduate legal education. British Journal of Educational Technology, 51(2), 572–589.
Article
Google Scholar
Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2014). Effectiveness of virtual reality-based instruction on students’ learning outcomes in K-12 and higher education: A meta-analysis. Computers & Education, 70, 29–40.
Article
Google Scholar
Merchant, Z., Goetz, E. T., Keeney-Kennicutt, W., Kwok, O., 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.
Article
Google Scholar
Mikropoulos, T. A., & Natsis, A. (2011). Educational virtual environments: A ten-year review of empirical research (1999–2009). Computers & Education, 56(3), 769–780.
Article
Google Scholar
Mullen, B. (1994). The relation between group cohesiveness and performance: An integration. Psychological Bulletin, 115(2), 210–227.
Article
Google Scholar
O’Brien, M. G., & Levy, R. M. (2008). Exploration through virtual reality: Encounters with the target culture. Canadian Modern Language Review, 64(4), 663–691.
Article
Google Scholar
Parong, J., & Mayer, R. E. (2018). Learning science in immersive virtual reality. Journal of Educational Psychology, 110(6), 785–797.
Article
Google Scholar
Pelargos, P. E., Nagasawa, D. T., Lagman, C., Tenn, S., Demos, J. V., Lee, S. J., Bui, T. T., Barnette, N. E., Bhatt, N. S., Ung, N., Bari, A., Martin, N. A., & Yang, I. (2017). Utilizing virtual and augmented reality for educational and clinical enhancements in neurosurgery. Journal of Clinical Neuroscience, 35, 1–4.
Article
Google Scholar
Petty, R. E., Harkins, S. G., Williams, K. D., & Latane, B. (1977). The effects of group size on cognitive effort and evaluation. Personality and Social Psychology Bulletin, 3(4), 579–582.
Article
Google Scholar
R Core Team. (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Retrieved from https://www.Rproject.org/.
Salzman, M. C., Dede, C., Loftin, R. B., & Chen, J. (1999). A model for understanding how virtual reality aids complex conceptual learning. Presence: Teleoperators and Virtual Environments, 8(3), 293–316.
Article
Google Scholar
Sharda, R., Romano, N. C., Jr., Lucca, J. A., Weiser, M., Scheets, G., Chung, J.-M., & Sleezer, C. M. (2004). Foundation for the study of computer-supported collaborative learning requiring immersive presence. Journal of Management Information Systems, 20(4), 31–64.
Article
Google Scholar
Slater, M., & Sanchez-Vives, M. V. (2016). Enhancing our lives with immersive virtual reality. Frontiers in Robotics and AI, 3, 74.
Article
Google Scholar
Steuer, J. (1992). Defining virtual reality: Dimensions determining telepresence. Journal of Communication, 42(4), 73–93.
Article
Google Scholar
Strijbos, J. W., Martens, R. L., & Jochems, W. M. G. (2004). Designing for interaction: Six steps to designing computer-supported group-based learning. Computers & Education, 42(4), 403–424.
Article
Google Scholar
Suleiman, J., & Watson, R. T. (2008). Social loafing in technology-supported teams. Computer Supported Cooperative Work, 17(4), 291–309.
Article
Google Scholar
Sweller, J., Ayres, P., & Kalyuga, S. (2011). The redundancy effect. Cognitive load theory (pp. 141–154). Springer.
Chapter
Google Scholar
Vogel, J. J., Vogel, D. S., Cannon-Bowers, J., Bowers, C. A., Muse, K., & Wright, M. (2006). Computer gaming and interactive simulations for learning: A meta-analysis. Journal of Educational Computing Research, 34(3), 229–243.
Article
Google Scholar
Wan, Z., Fang, Y., & Neufeld, D. J. (2007). The role of information technology in technology-mediated learning: A review of the past for the future. Journal of Information Systems Education, 18(2), 183–192.
Google Scholar
Xie, Y., Ryder, L., & Chen, Y. (2019). Using interactive virtual reality tools in an advanced chinese language class: A case study. TechTrends, 63(3), 251–259.
Article
Google Scholar