Year 2025,
Volume: 12 Issue: 3, 787 - 805, 04.09.2025
Ahmet Volkan Yüzüak
,
Emrah Hiğde
,
Zekiye Merve Öcal
,
Görkem Avcı
,
Sinan Erten
References
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Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
-
Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665 683. https://doi.org/10.1111/j.1559-1816.2002.tb00236.x
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Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888-918. https://doi.org/10.1037/0033-2909.84.5.888
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Ajzen, I. (2012). The theory of planned behavior. In P.A.M. Lange, A.W. Kruglanski, & E.T. Higgins (Eds.), Handbook of theories of social psychology. Sage.
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Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Prentice-Hall.
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Ajzen, I., & Madden, T.J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22, 453-474. https://doi.org/10.1016/0022-1031(86)90045-4
-
Ajzen, I., & Fishbein, M. (2008). Scaling and testing multiplicative combinations in the expectancy-value model of attitudes. Journal of Applied Social Psychology, 33(9), 2222-2247. https://doi.org/10.1111/j.1559-1816.2008.00389.x
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Alalwan, N., Cheng, L., Al-Samarraie, H., Yousef, R., Alzahrani, A. I., & Sarsam, S.M. (2020). Challenges and prospects of virtual reality and augmented reality utilization among primary school teachers: A developing country perspective. Studies in Educational Evaluation, 66(2), 100-876. https://doi.org/10.1016/j.stueduc.2020.100876
-
Anderson, S.E., & Maninger, R.M. (2007). Preservice teachers' abilities, beliefs, and intentions regarding technology integration. Journal of Educational Computing Research, 37(2), 51-172. https://doi.org/10.2190/H1M8-562W-18J1-634P
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Bansal G., Rajgopal K., Chamola V., Xiong Z., & Niyato D. (2022). Healthcare in metaverse: A survey on current metaverse applications in healthcare. IEEE Access, 10, 119914-119946.
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Baydas, O., & Goktas, Y. (2017). A model for preservice teachers’ intentions to use ICT in future lessons. Interactive Learning Environments, 25(7), 930 945. https://doi.org/10.1080/10494820.2016.1232277
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Bonetti, F., Warnaby, G., & Quinn, L. (2018). Augmented reality and virtual reality in physical and online retailing: A review, synthesis and research agenda. In: Jung, T., Tom Dieck, M. (Eds.), Augmented Reality and Virtual Reality. Progress in IS. Springer, Cham.
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Can, H., & Higde, E. (2022). Pre-Service Teachers' Intentions to Implement STEM Activities. Shanlax International Journal of Education, 10(7), 164 178. https://doi.org/10.34293/education.v10iS1-Aug.4956
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Cennamo, K., & Kalk, D. (2019). Real world instructional design: An iterative approach to designing learning experiences. Routledge.
-
Chan V.S., Haron H.N.H., Isham M.I.B.M., & Mohamed F.B. (2022). VR and AR virtual welding for psychomotor skills: A systematic review. Multimedia Tools and Applications, 81(9), 12459-12493.
-
Coban, M., Bolat, Y.I., & Goksu, I. (2022). The potential of immersive virtual reality to enhance learning: A meta analysis. Educational Research Review, 100 452. https://doi.org/10.1016/j.edurev.2022.100452
-
Demitriadou, E., Stavroulia, K.E., & Lanitis, A. (2020). Comparative evaluation of virtual and augmented reality for teaching mathematics in primary education. Education and Information Technologies, 25, 381-401. https://doi.org/10.1007/s10639-019-09973-5
-
Dutt, S., Sharma, R., Suyal, P., & Thapliyal, M. (2022, December 16-17). An investigative study of long-term implication of extended reality applications in educational pursuits for learning-disabled population: a recommendation approach. 11th International Conference on System Modeling & Advancement in Research Trends, Moradabad, India. https://dx.doi.org/10.1109/SMART55829.2022.10046886
-
Erten, S., & Koseoglu, P. (2022). A review of studies in the field of educational sciences within the context of theory of planned behavior. Journal of Turkish Science Education, 19(2), 389-402. https://doi.org/10.36681/tused.2022.127
-
Erten, S. (2000). Empirische untersuchungen zu bedingungen der umwelterziehung ein interkultureller vergleich auf der grundlage der theorie des geplanten verhaltens. [Empirical studies on the conditions of environmental education: an intercultural comparison based on the theory of planned behavior]. Tectum Verlag. Marburg. Deutschland.
-
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley.
-
Fishbein, M., & Ajzen, I. (2010). Predicting and Changing Behavior: The Reasoned Action Approach. Psychology Press.
-
Fundi, M., Sanusi, I.T., Oyelere, S.S., & Ayere, M. (2024). Advancing AI education: Assessing kenyan in-service teachers’ preparedness for integrating artificial intelligence in competence based curriculum. Computers in Human Behavior Reports, 14, 1 10. https://doi.org/10.1016/j.chbr.2024.100412
-
Guray T.S., & Kismet B. (2023). Applicability of a digitalization model based on augmented reality for building construction education in architecture. Construction Innovation, 23(1), 193–212.
-
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-
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-
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-
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-
Lin, Y.J., & Wang, H.C. (2021). Using virtual reality to facilitate learners’ creative self-efficacy and intrinsic motivation in an EFL classroom. Education and Information Technologies, 26(4), 4487-4505. https://doi.org/10.1007/s10639-021-10472-9
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Exploring intention to use augmented and virtual reality applications as educational tools
Year 2025,
Volume: 12 Issue: 3, 787 - 805, 04.09.2025
Ahmet Volkan Yüzüak
,
Emrah Hiğde
,
Zekiye Merve Öcal
,
Görkem Avcı
,
Sinan Erten
Abstract
In today’s educational landscape, students have access to enriched learning environments through augmented and virtual reality (AR/VR) applications. Effective digital learning depends on identifying the key factors and learner attitudes that influence engagement and task performance. We focused more on preservice teachers’ intentions to use AR/VR applications as instructional tools, guided by the Theory of Planned Behavior (TPB) framework. A total of 306 preservice teachers participated in the Exploratory Factor Analysis (EFA), 286 in the Confirmatory Factor Analysis (CFA), and 341 in the Structural Equation Modelling (SEM) phase. To identify relevant constructs and beliefs, the researchers developed a questionnaire grounded in TPB-based hypotheses. The questionnaire demonstrated high internal consistency, with a McDonald’s Omega reliability coefficient of .95. Three factors—perceived behavioral control, subjective norm, and attitude toward behavior—accounted for 47% of the variance. Empirical findings confirmed the relevance of all three factors in predicting behavioral intention. Specifically, the relationship between attitudes towards behavior and behavioral intention was moderate, between subjective norm and behavioral intention was weak, and between perceived behavioral control and behavioral intention is strong. The findings may guide practitioners in developing and evaluating TPB-based interventions to enhance preservice teachers’ intentions to use AR/VR applications as educational tools. The study concludes by identifying gaps within the existing framework and suggesting directions for future research.
Ethical Statement
Bartin University, Social and Human Sciences Ethics Committee, 14.03.2024, 3-1.
References
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Ajzen, I. (1985). From intentions to actions: A theory of planned Behavior. In J. Kuhl & J. Beckman (Eds.), Action-control: From cognition to Behavior. Heidelberg, Germany: Springer.
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Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
-
Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665 683. https://doi.org/10.1111/j.1559-1816.2002.tb00236.x
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Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888-918. https://doi.org/10.1037/0033-2909.84.5.888
-
Ajzen, I. (2012). The theory of planned behavior. In P.A.M. Lange, A.W. Kruglanski, & E.T. Higgins (Eds.), Handbook of theories of social psychology. Sage.
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Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Prentice-Hall.
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Ajzen, I., & Madden, T.J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22, 453-474. https://doi.org/10.1016/0022-1031(86)90045-4
-
Ajzen, I., & Fishbein, M. (2008). Scaling and testing multiplicative combinations in the expectancy-value model of attitudes. Journal of Applied Social Psychology, 33(9), 2222-2247. https://doi.org/10.1111/j.1559-1816.2008.00389.x
-
Alalwan, N., Cheng, L., Al-Samarraie, H., Yousef, R., Alzahrani, A. I., & Sarsam, S.M. (2020). Challenges and prospects of virtual reality and augmented reality utilization among primary school teachers: A developing country perspective. Studies in Educational Evaluation, 66(2), 100-876. https://doi.org/10.1016/j.stueduc.2020.100876
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Anderson, S.E., & Maninger, R.M. (2007). Preservice teachers' abilities, beliefs, and intentions regarding technology integration. Journal of Educational Computing Research, 37(2), 51-172. https://doi.org/10.2190/H1M8-562W-18J1-634P
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-
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-
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-
Can, H., & Higde, E. (2022). Pre-Service Teachers' Intentions to Implement STEM Activities. Shanlax International Journal of Education, 10(7), 164 178. https://doi.org/10.34293/education.v10iS1-Aug.4956
-
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-
Chan V.S., Haron H.N.H., Isham M.I.B.M., & Mohamed F.B. (2022). VR and AR virtual welding for psychomotor skills: A systematic review. Multimedia Tools and Applications, 81(9), 12459-12493.
-
Coban, M., Bolat, Y.I., & Goksu, I. (2022). The potential of immersive virtual reality to enhance learning: A meta analysis. Educational Research Review, 100 452. https://doi.org/10.1016/j.edurev.2022.100452
-
Demitriadou, E., Stavroulia, K.E., & Lanitis, A. (2020). Comparative evaluation of virtual and augmented reality for teaching mathematics in primary education. Education and Information Technologies, 25, 381-401. https://doi.org/10.1007/s10639-019-09973-5
-
Dutt, S., Sharma, R., Suyal, P., & Thapliyal, M. (2022, December 16-17). An investigative study of long-term implication of extended reality applications in educational pursuits for learning-disabled population: a recommendation approach. 11th International Conference on System Modeling & Advancement in Research Trends, Moradabad, India. https://dx.doi.org/10.1109/SMART55829.2022.10046886
-
Erten, S., & Koseoglu, P. (2022). A review of studies in the field of educational sciences within the context of theory of planned behavior. Journal of Turkish Science Education, 19(2), 389-402. https://doi.org/10.36681/tused.2022.127
-
Erten, S. (2000). Empirische untersuchungen zu bedingungen der umwelterziehung ein interkultureller vergleich auf der grundlage der theorie des geplanten verhaltens. [Empirical studies on the conditions of environmental education: an intercultural comparison based on the theory of planned behavior]. Tectum Verlag. Marburg. Deutschland.
-
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley.
-
Fishbein, M., & Ajzen, I. (2010). Predicting and Changing Behavior: The Reasoned Action Approach. Psychology Press.
-
Fundi, M., Sanusi, I.T., Oyelere, S.S., & Ayere, M. (2024). Advancing AI education: Assessing kenyan in-service teachers’ preparedness for integrating artificial intelligence in competence based curriculum. Computers in Human Behavior Reports, 14, 1 10. https://doi.org/10.1016/j.chbr.2024.100412
-
Guray T.S., & Kismet B. (2023). Applicability of a digitalization model based on augmented reality for building construction education in architecture. Construction Innovation, 23(1), 193–212.
-
Hair Jr, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M., Danks, N.P., Ray, S., ... & Ray, S. (2021). An introduction to structural equation modeling. Partial least squares structural equation modeling (PLS-SEM) using R: a workbook, 1-29.
-
Hamilton, D., McKechnie, J., Edgerton, E., & Wilson, C. (2021). Immersive virtual reality as a pedagogical tool in education: A systematic literature review of quantitative learning outcomes and experimental design. Journal of Computers in Education, 8(1), 1-32. https://doi.org/10.1007/s40692-020-00169-2
-
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. https://doi.org/10.1016/j.compedu.2010.05.014
-
Johnson, A.M., Jacovina, M.E., Russell, D. G. & Soto, C.M. (2016). Challenges and solutions when using technologies in the classroom. In ByScott A. Crossley, Danielle S., & McNamara (Eds.), Adaptive educational technologies for literacy instruction, Routledge.
-
Jöreskog, K., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International.
-
Karacan, C.G. & Polat, M. (2022). Pre-service language teachers' development of augmented reality applications: A qualitative inquiry into their intention of augmented reality use. In Zou, B., & Barr, D. (Eds.), Emerging concepts in technology-enhanced language teaching and learning. IGI Global.
-
Karademir, E., & Erten, S. (2013). Determining the factors that affect the objectives of pre-service science teachers to perform outdoor science activities. International Journal of Education in Mathematics, Science and Technology, 1(4), 270-293.
-
Kenna, J.L., & Potter, S. (2018). Experiencing the world from inside the classroom: Using virtual field trips to enhance social studies instruction. The Social Studies, 109(5), 265-275. https://doi.org/10.1080/00377996.2018.1515719
-
Kline, R.B. (2011). Principles and Practice of Structural Equation Modeling. The Guidford Press.
-
Koutromanos, G., & Mikropoulos, T.A. (2021, May 17-June 10). Mobile augmented reality applications in teaching: A proposed technology acceptance model. [Paper presentation]. 7th International Conference of the Immersive Learning Research Network, Eureka, USA. https://doi.org/10.23919/iLRN52045.2021.9459343
-
Kraus, M., Custovic I., & Kaufmann W. (2021). Struct-mrt: Immersive learning and teaching of design and verification in structural civil engineering using mixed reality. arXiv preprint arXiv:2109.09489. https://doi.org/10.13140/RG.2.2.27661.46563
-
Lee, C.K., & Shea, M. (2020). Exploring the use of virtual reality by pre-service elementary teachers for teaching science in the elementary classroom. Journal of Research on Technology in Education, 52(2), 163-177. https://doi.org/10.1080/15391523.2020.1726234
-
Lin, Y.J., & Wang, H.C. (2021). Using virtual reality to facilitate learners’ creative self-efficacy and intrinsic motivation in an EFL classroom. Education and Information Technologies, 26(4), 4487-4505. https://doi.org/10.1007/s10639-021-10472-9
-
Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46-60. https://doi.org/10.1016/j.futures.2017.03.006
-
Mazman, A.S.G. (2019). Does it matter being innovative: Teachers’ technology acceptance. Education and Information Technologies, 24(6), 3415 3432. https://doi.org/10.1007/s10639-019-09933-z
-
Mikropoulos, T.A., Delimitros, M., & Koutromanos, G. (2022). Investigating the mobile augmented reality acceptance model with pre-service teachers. [Paper presentation]. 8th International Conference of the Immersive Learning Research Network, Vienna, Austria. https://doi.org/10.23919/iLRN55037.2022.9815972
-
Milgram, P., & Kishino, F. (1994). A taxonomy of mixed reality visual displays. Ieice Transactions on Information and Systems, 77(12), 1321-1329.
-
Osipenko, L., & Guseva, V. (2022). Place and role of visualization among the modern methodological tools of higher education process. Education and Information Technologies, 1-14. https://doi.org/10.1007/s10639-022-11310-2
-
Papanastasiou, G., Drigas, A., Skianis, C., Lytras, M., & Papanastasiou, E. (2019). Virtual and augmented reality effects on K-12, higher and tertiary education students’ twenty-first century skills. Virtual Reality, 23, 425-436. https://doi.org/10.1007/s10055-018-0363-2
-
Roopa, D., Prabha, R., & Senthil, G.A. (2021). Revolutionizing education system with interactive augmented reality for quality education. Materials Today: Proceedings, 46, 3860-3863. https://doi.org/10.1016/j.matpr.2021.02.294
-
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