Abstract
This paper reports on a study aiming at examining the effects of virtual reality and animations on students’ perceived learning. The study was conducted as an exploratory case study in virtual reality-based and animation-based environments. Participants were 12, 4th grade elementary school students enrolled at a public Science and Art Center. The data in the study were obtained by interview and observation method. The findings of the study presented according to the readiness, learning performances, affective gains and interaction in terms of perceived learning. While immersion is found as a positive feature that is robust in virtual reality-based environment, limited interactivity somewhat negatively influenced perceived learning in animation-based learning environment. While virtual reality-based learning environment provided high student-content interaction, surprisingly this caused some un-realistic perceptions of students about their own learning. The study also informed designers on the relations between perceived learning, learning performances and design features of virtual reality and animation-based learning environments.
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Aktamış, H., & Arıcı, V. A. (2013). The effects of using virtual reality software in teaching astronomy subjects on academic achievement and retention. Mersin University Journal of Education Faculty, 9(2), 58–70.
Alavi, M., Wheeler, B. C., & Val, J. S. (1995). Using IT to reengineer business education: An exploratory investigation of collaborative telelearning. MIS Quarterly, 19(3), 293–312.
Bakas, C., & Mikropoulos, T. (2003). Design of virtual environments for the comprehension of planetary phenomena based on students’ ideas. International Journal of Science Education, 25(8), 949–967.
Baturay, M. H. (2011). Relationships among sense of classroom community, perceived cognitive learning and satisfaction of students at an e-learning course. Interactive Learning Environments, 19(5), 563–575.
Blau, I., Shamir-Inbal, T., & Avdiel, O. (2020). How does the pedagogical design of a technology-enhanced collaborative academic course promote digital literacies, self-regulation, and perceived learning of students? The Internet and Higher Education, 45, 1–11.
Boeglin, J., & Campbell, K. (2002). Effects of learners' readiness on their perceived learning outcomes. Canadian Journal of Learning and Technology/La revue canadienne de l’apprentissage et de la technologie, 28(2), 1–16.
Burdea, G. C., & Coiffet, P. (2003). Virtual reality technology. Wiley.
Caspi, A., & Blau, I. (2008). Social presence in online discussion groups: Testing three conceptions and their relations to perceived learning. Social Psychology of Education, 11(3), 323–346.
Chen, C. H., Yang, J. C., Sarah, S., & Jeng, M. C. (2007). A desktop virtual reality earth motion system in astronomy education. International Forum of Educational Technology & Society, 10(3), 289–307.
Chen, Y.-L. (2016). The effects of virtual reality learning environment on student cognitive and linguistic development. The Asia-Pacific Education Researcher, 25(4), 637–646.
Çakıroğlu, Ü., & Gökoğlu, S. (2019). Development of fire safety behavioral skills via virtual reality. Computers & Education, 133, 56–68.
Dalgarno, B., Hedberg, J., & Harper, B. (2002). The contribution of 3D environments to conceptual understanding. University of Wollongong Research Online, 2(1), 149–158.
Ghanbarzadeh, R., Ghapanchi, A. H., Blumenstein, M., & Talaei-Khoei, A. (2014). A decade of research on the use of three-dimensional virtual worlds in health care: A systematic literature review. Journal of Medical Internet Research, 16(2), e47.
Han, I. (2020). Immersive virtual field trips in education: A mixed-methods study on elementary students’ presence and perceived learning. British Journal of Educational Technology, 51(2), 420–435.
Hanson, K., & Shelton, B. E. (2008). Design and development of virtual reality: analysis of challenges faced by educators. Journal of Educational Technology & Society, 11(1), 118–131.
Haverila, M. (2010). Factors related to perceived learning outcomes in e-learning. International Journal of Knowledge and Learning, 6(4), 308–328.
Ioannou, P., & Bakirtzoglou, P. (2016). Animation with concurrent narration versus narration in physical education lesson. FizičkaKultura, 70(2), 135–144.
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.
Jiang, M., & Ting, E. (2000). A study of factors influencing students’ perceived learning in a Web-based course environment. International Journal of Educational Telecommunication, 6(4), 317–338.
Johnson-Glenberg, M. C., Ly, V., Su, M., Zavala, R. N., Bartolomeo, H., & Kalina, E. (2020). Embodied Agentic STEM Education: Effects of 3D VR Compared to 2D PC. 6th International Conference of the Immersive Learning Research Network (iLRN) (s. 24–30). San Luis Obispo, USA: IEEE.
Kalina, E., & Johnson-Glenberg, M. C. (2020). Presence and Platform: Effects of Embodiment Comparing a 2D Computer and 3D VR Game. 6th International Conference of the Immersive Learning Research Network (s. 31–37). IEEE.
Kayabaşı, Y. (2005). Virtual reality and its use for educational purposes. TOJET: The Turkish Online Journal of Educational Technology, 4(3), 151–158.
Korakakis, G., Pavlatou, E. A., Palyvos, J. A., & Spyrellis, N. (2009). 3D visualization types in multimedia applications for science learning: A case study for 8th grade students in Greece. Computers & Education, 52(2), 390–401.
Küçüközer, H. (2008). The effects of 3D computer modelling on conceptual change about seasons and phases of the moon. Physics Education, 43(6), 632.
Laver, K., George, S., Thomas, S., Deutsch, J., & Crotty, M. (2015). Virtual reality for stroke rehabilitation: An abridged version of a cochrane review. European Journal of Physical and Rehabilitation Medicine, 51(4), 497–506.
Lee, E. A.-L., Wong, K. W., & Fung, C. C. (2010). Learning with Virtual Reality: Its Effects on Students with Different Learning Styles. Z. Pan, A. D. Cheok, W. Müller, X. Zhang, & K. Wong içinde, Transactions on Edutainment IV (s. 79–90). Springer Berlin Heidelberg.
Leite, W. L., Svinicki, M., & Shi, Y. (2010). Attempted validation of the scores of the VARK: Learning styles inventory with multitrait-multimethod confirmatory factor analysis models. Educational and psychological measurement, 70(2), 323–339.
Li, Y., Huang, J., Tian, F., Wang, H.-A., & Dai, G.-Z. (2019). Gesture interaction in virtual reality. Virtual Reality & Intelligent Hardware, 1(1), 84–112.
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.
Menzel, K. E., & Carrell, L. J. (1999). The impact of gender and immediacy on willingness to talk and perceived learning. Communication Education, 48(1), 31–40.
Niederhauser, D. S., & Perkmen, S. (2010). Beyond self-efficacy: Measuring pre-service teachers’ instructional technology outcome expectations. Computers in Human Behavior, 26(3), 436–442.
Pan, Z., Cheok, A. D., Yang, H., Zhu, J., & Shi, J. (2006). Virtual reality and mixed reality for virtual learning environments. Computers & Graphics, 30(1), 20–28.
Perez, E. C., & White, M. A. (1985). Student evaluation of motivational and learning attributes of microcomputer software. Journal of Computer-Based Instruction, 12(2), 39–43.
Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 1–29.
Rieber, L. P. (1991). Animation, incidental learning, and continuing motivation. Journal of Educational Psychology, 83(3), 318–328.
Rockinson-Szapkiw, A. J., Wendt, J., Whighting, M., & Nisbet, D. (2016). The predictive relationship among the community of inquiry framework, perceived learning and online, and graduate students’ course grades in online synchronous and asynchronous courses. International Review of Research in Open and Distributed Learning, 17(3), 18–35.
Schwan, S., & Papenmeier, F. (2017). Learning from Animations: From 2D to 3D? R. Lowe, & R. Ploetzner içinde, Learning from Dynamic Visualization (s. 31–49). Springer.
Slater, M. (2002). Presence and the sixth sense. Presence: Teleoperators & Virtual Environments, 11(4), 435–439.
Shim, S. I., & Lee, Y. (2011). Consumer’s perceived risk reduction by 3D virtual model. International Journal of Retail & Distribution Management, 39(12), 945–959.
Sirikasem, P., & Shebilske, W. L. (1991). The perception and metaperception of architectural designs communicated by video-computer imaging. Psychological Research PsychologischeForschung, 53(2), 113–126.
Sternberg, R. J., & Williams, W. M. (2010). Educational Psychology. (2nd ed.). Merrill.
Swan, K. (2001). Virtual interaction: Design factors affecting student satisfaction and perceived learning in asynchronous online courses. Distance Education, 22(2), 306–331.
Swan, K., Shea, P., Fredericksen, E., Pickett, A., Pelz, W., & Maher, G. (2000). Building knowledge building communities: Consistency, contact and communication in the virtual classroom. Journal of Educational Computing Research, 23(4), 359–383.
Taylor, C., & Gibbs, G. R. (2010). How and what to code. Online QDA Web Site, 19
Thomas, L. J., Parsons, M., & Whitcombe, D. (2019). Assessment in smart learning environments: Psychological factors affecting perceived learning. Computers in Human Behavior, 95, 197–207.
Trundle, K. C., Atwood, R. K., & Christopher, J. E. (2007). A longitudinal study of conceptual change: Preservice elementary teachers' conceptions of moon phases. Journal of Research in Science Teaching, 44(2), 303–326.
Trundle, K. C., & Bell, R. L. (2010). The use of a computer simulation to promote conceptual change: A quasi-experimental study. Computers & Education, 54(4), 1078–1088.
Tversky, B., Morrison, J. B., & Betrancourt, M. (2002). Animation: Can it facilitate? International Journal of Human-Computer Studies, 57(4), 247–262.
Wang, J., & Antonenko, P. D. (2017). Instructor presence in instructional video: Effects on visual attention, recall, and perceived learning. Computers in Human Behavior, 71, 79–89.
Weller, M. (2007). Virtual learning environments: Using, choosing and developing your VLE. Routledge.
Wong, E. Y.-C., Kong, K. H., & Hui, R. T.-Y. (2017). The influence of learners’ openness to IT experience on the attitude and perceived learning effectiveness with virtual reality technologies. In 2017 IEEE 6th International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (s. 11–123). IEEE.
Xu, X., Chen, K. B., Lin, J.-H., & Radwin, R. G. (2015). The accuracy of the oculus rift virtual reality head-mounted display during cervical spine mobility measurement. Journal of Biomechanics, 48(4), 721–724.
Zhang, X., Shan, J., Patricia, O., Lytras, M. D., & Sun, Y. (2017). How virtual reality affects perceived learning effectiveness: A task–technology fit perspective. Journal Behaviour & Information Technology, 36(5), 548–556.
Zheng, H., Adamo-Villani, N., McGraw, T., & Griggs, R. (2017). Using computer animation for emergency medicine education. International Journal of Technology Enhanced Learning, 9(4), 354–368.
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Çakıroğlu, Ü., Aydın, M., Özkan, A. et al. Perceived learning in virtual reality and animation-based learning environments: A case of the understanding our body topic. Educ Inf Technol 26, 5109–5126 (2021). https://doi.org/10.1007/s10639-021-10522-2
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DOI: https://doi.org/10.1007/s10639-021-10522-2