Abstract
Augmented reality has received more and more attention by researchers in the field of education. Because of its rich visual presentations and various user interaction, AR leaning environment has great potential for learning activities. This study used mature UTAUT questionnaires to investigate pre-service teachers and in-service teachers’ acceptance of AR technology. The effective participants included 70 pre-service and 50 in-service teachers. Through data analysis of effective participants from the perspectives of gender and experience, we found that 1) Pre-service teachers are more sensitive to social influences than in-service teachers are. For all the participants, 2) Male teachers are more sensitive to social influences than females. 3) Effort expectancy has a negative impact on AR behavioral intention of high-experience teachers. Based on the research results, specific discussions and suggestions are proposed for different teacher groups to improve the technical acceptance of AR in teaching.
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References
[1] Akçayır, M., Akçayır, G.: Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1–11 (2017)
[2] Cai S., Chiang F.K., Sun Y., Lin, C., Lee, J.J.: Applications of augmented reality-based natural interactive learning in magnetic field instruction. Interactive Learning Environments 25(6):778–791 (2017)
[3] Yang, Y., Ning F.J., Zhu T.T., BAYARMAA, T., Ma, N.: The Behavioral intentions of K-12 Teachers in Adopting Augmented Reality Applications. In: International Conference on Education and E-Learning. Singapore (2018)
[4] Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. Mis Quarterly, 27(3), 425–478 (2003)
[5] Lakhal, Sawsen, Khechine, Hager, Pascot, Daniel.: Student behavioural intentions to use desktop video conferencing in a;distance course: integration of autonomy to the utaut model. Journal of Computing in Higher Education, 25(2), 93–121 (2013)
[6] Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., Macintyre, B.: Recent advances in augmented reality. IEEE Computer Graphics & Applications, 21(6), 34–47 (2001)
[7] Azuma, R.T.: A survey of augmented reality. Presence: Teleoperators & Virtual Environments, 6(4), 355–385 (1997)
[8] Carmigniani, J., Furht, B., Anisetti, M., Ceravolo, P., Damiani, E., Ivkovic, M.: Augmented reality technologies, systems and applications. Multimedia Tools & Applications, 51(1), 341–377 (2011)
[9] Bruns, E., Brombach, B., Zeidler, T., Bimber, O.: Enabling mobile phones to support large-scale museum guidance. IEEE Multimedia, 14(2), 16–25 (2007)
[10] Dunleavy, M., Dede, C., Mitchell, R.: Affordances and limitations of immersive participatory augmented reality simulations for teaching and learning. Journal of Science Education & Technology, 18(1), 7–22 (2009)
[11] Huang, Y., Liu, Y., Wang, Y.: AR-View: An augmented reality device for digital reconstruction of Yuangmingyuan. In 2009 IEEE International Symposium on Mixed and Augmented Reality-Arts, Media and Humanities (pp. 3–7).IEEE. (2009)
[12] Miyashita, T., Meier, P., Tachikawa, T., Orlic, S., Eble, T., Scholz, V., Gapel, A., Gerl, O., Arnaudov, S., Lieberknecht, S.: An Augmented Reality museum guide. In Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (pp. 103–106). IEEE Computer Society (2008)
[13] Wu, H.K., Lee, W.Y., Chang, H.Y., Liang, J. C.: Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62(2), 41–49 (2013)
[14] Cheng, K.H., Tsai, C.C.: Affordances of augmented reality in science learning: suggestions for future research. Journal of Science Education & Technology, 22(4), 449–462 (2013)
[15] Ibáñez, M.B., Di Serio, A., Villarán-Molina, D., Kloos, C.D.: Augmented Reality-Based Simulators as Discovery Learning Tools: An Empirical Study. IEEE Trans. Education, 58(3), 208–213 (2015)
[16] Ruiz-Ariza, A., Casuso, R.A., Suarez-Manzano, S., Martínez-López, E.J.: Effect of augmented reality game Pokémon GO on cognitive performance and emotional intelligence in adolescent young. Computers & Education, 116, 49–63 (2018)
[17] Chiang, T.H.C., Yang, S.J.H., Hwang, G.J.: An augmented reality-based mobile learning system to improve students’ learning achievements and motivations in natural science inquiry activities. Journal of Educational Technology & Society, 17(4), 352–365 (2014)
[18] Lu, S.J., Liu, Y.C.: Integrating augmented reality technology to enhance children’s learning in marine education. Environmental Education Research, 21(4), 525–541 (2015)
[19] Wang, Y.S., Wu, M.C., Wang, H.Y.: Investigating the determinants and age and gender differences in the acceptance of mobile learning. British journal of educational technology, 40(1), 92–118 (2009)
[20] Cheng, Y.S., Yu, T.F., Huang, C.F., Yu, C., Yu, C.C.: The comparison of three major occupations for user acceptance of information technology: applying the UTAUT model. IBusiness, 3(02), 147 (2011)
[21] Wong, K.T., Teo, T., Russo, S.: Interactive whiteboard acceptance: applicability of the utaut model to student teachers. Asia-pacific Education Researcher, 22(1), 1–10 (2013).
[22] Šumak, B., Šorgo, A.: The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre-and post-adopters. Computers in Human Behavior, 64, 602–620 (2016)
[23] Workman, M.: Unified Theory of Acceptance and Use of Technology Measure [Database record]. Retrieved from PsycTESTS. doi: http://dx.doi.org/10.1037/t34374-000 (2014)
[24] Birch, A., & Irvine, V.: Preservice teachers’ acceptance of ICT integration in the classroom: Applying the UTAUT model. Educational Media International, 46(4), 295–315 (2009)
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Ning, F., Yang, Y., Zhu, T., Bayarmaa, TI., Ma, N. (2019). Influence of Pre-service and In-service Teachers’ Gender and Experience on the Acceptance of AR Technology. In: Chang, M., et al. Foundations and Trends in Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-6908-7_18
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DOI: https://doi.org/10.1007/978-981-13-6908-7_18
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