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Prospective Teachers’ Acceptance of virtual reality technology: a mixed study in Rural China

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Abstract

Virtual Reality (VR) is increasingly being viewed as one of the most effective and efficient instructional tools in educational settings. The successful implementation of this innovative instructional technology presupposes teachers’ acceptance and diffusion. And prospective teachers, as the teacher talent pool, their beliefs and acceptance of VR determine if and how they use it in the future classroom. However, little is known about their attitudes and adoptions. As such, the main goal of the present study is to investigate the behaviour and intentions of prospective teachers to use VR in class. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was used as an evaluative framework for the study. A pre-post design was used to collect perspectives before and after using VR through questionnaires (N = 58) and semi-structured interviews (N = 44). The findings indicated that following intervention, preservice teachers’ behavioural intention, effort expectancy, hedonic motivation, and price value were improved significantly; and that price value had a significant effect on behavioural intention. Meanwhile, barriers to implementing VR into future educational practises, such as the digital divide and culture reasons, were observed. Limitations and implications are also discussed.

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References

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

    Article  Google Scholar 

  • Alalwan, N., Cheng, L., Al-Samarraie, H., Yousef, R., Ibrahim Alzahrani, A., & 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, Article 100876. https://doi.org/10.1016/j.stueduc.2020.100876

  • Alamäki, A., Dirin, A., Suomala, J., & Rhee, C. (2021). Students’ experiences of 2D and 360° videos with or without a low-cost VR headset: An experimental study in higher education. Journal of Information Technology Education: Research, 20(4), 309–329. https://doi.org/10.28945/481

    Article  Google Scholar 

  • Alhalabi, W. S. (2016). Virtual reality systems enhance students’ achievements in engineering education. Behavior and Information Technology, 35(11), 919–925. https://doi.org/10.1080/0144929X.2016.1212931

    Article  Google Scholar 

  • Asghar, M. Z., Barberà, E., & Younas, I. (2021). Mobile learning technology readiness and acceptance among pre-service teachers in Pakistan during the COVID-19 pandemic. Knowledge Management and E-Learning, 13(1), 83–101. https://doi.org/10.34105/j.kmel.2021.13.005

    Article  Google Scholar 

  • Attewell, P. (2001). Comment: The first and second digital divides. Sociology of education, 74(3), 252–259.

    Article  Google Scholar 

  • Bandura, A. (1986). Social foundation of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Batane, T., & Ngwako, A. (2017). Technology use by pre-service teachers during teaching practice: Are new teachers embracing technology right away in their first teaching experience? Australasian Journal of Educational Technology, 33(1), 48–61. https://doi.org/10.14742/ajet.2299

    Article  Google Scholar 

  • Bervell, B., & Arkorful, V. (2020). LMS-enabled blended learning utilization in distance tertiary education: Establishing the relationships among facilitating conditions, voluntariness of use and use behavior. International Journal of Educational Technology in Higher Education, 17(1), 1–16. https://doi.org/10.1186/s41239-020-0183-9

    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. https://doi.org/10.1007/s11412-009-9074-8

    Article  Google Scholar 

  • Bonfadelli, H. (2002). The Internet and knowledge gaps: A theoretical and empirical investigation. European Journal of Communication, 17(1), 65–84. https://doi.org/10.1177/0267323102017001607

    Article  Google Scholar 

  • Bossenbroek, R., Wols, A., Weerdmeester, J., Lichtwarck-Aschoff, A., Granic, I., & Van Rooij, M. M. J. W. (2020). Efficacy of a virtual reality biofeedback game (DEEP) to reduce anxiety and disruptive classroom behavior: Single-case study. JMIR Mental Health, 7(3), 1–18. https://doi.org/10.2196/16066

    Article  Google Scholar 

  • Bower, M., DeWitt, D., & Lai, J. W. M. (2020). Reasons associated with pre-service teachers’ intention to use immersive virtual reality in education. British Journal of Educational Technology, 51(6), 2214–2232. https://doi.org/10.1111/bjet.13009

    Article  Google Scholar 

  • Buabeng-Andoh, C., & Baah, C. (2020). Pre-service teachers’ intention to use learning management system: an integration of UTAUT and TAM. Interactive Technology and Smart Education, 17(4), 455–474. https://doi.org/10.1108/ITSE-02-2020-0028

    Article  Google Scholar 

  • Burdea, G. C., & Coiffet, P. (2017). Virtual reality technology. (2nd ed.). John Wiley & Sons.

  • Burtch, G., & Chan, J. (2019). Investigating the relationship between medical crowdfunding and personal bankruptcy in the United States: Evidence of a digital divide. MIS Quarterly, 43(1), 237–262.

    Article  Google Scholar 

  • Chen, X., Chen, Z., Li, Y., He, T., Hou, J., Liu, S., & He, Y. (2019). ImmerTai: Immersive motion learning in VR environments. Journal of Visual Communication and Image Representation, 58, 416–427. https://doi.org/10.1016/j.jvcir.2018.11.039

    Article  Google Scholar 

  • Corbin, J. M., & Strauss, A. (1990). Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative sociology, 13(1), 3-21. https://doi.org/10.1007/BF00988593

    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. https://doi.org/10.1111/j.1467-8535.2009.01038.x

    Article  Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x

    Article  Google Scholar 

  • de Back, T. T., Tinga, A. M., & Louwerse, M. M. (2021). CAVE-based immersive learning in undergraduate courses: Examining the effect of group size and time of application. International Journal of Educational Technology in Higher Education, 18(1), Article 56. https://doi.org/10.1186/s41239-021-00288-5

    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), Article 51. https://doi.org/10.1186/s41239-020-00228-9

  • Kurt, Ö. E., & Tingöy, Ö. (2017).  The acceptance and use of a virtual learning environment in higher education: An empirical study in Turkey, and the UK. International Journal of Educational Technology in Higher Education, 14(1), Article 26. https://doi.org/10.1186/s41239-017-0064-z

    Article  Google Scholar 

  • El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the unified theory of acceptance and use of technology 2 (UTAUT2). Educational Technology Research and Development, 65(3), 1–21. https://doi.org/10.1007/s11423-016-9508-8

    Article  Google Scholar 

  • Ferreira, F. C., Lourenço, A. B., Alves da Cruz, A. J., Paza, A. H., Botero, E. R., & Rocha, E. M. (2020). Argumentation in a virtual reality environment: An approach with future physics teachers. RIED Revista Iberoamericana de Educación a Distancia, 24(1), 179–195. https://doi.org/10.5944/ried.24.1.27511

    Article  Google Scholar 

  • Fishbein, M. A., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Contemporary Sociology, 6(2), 244-245. https://doi.org/10.2307/2065853

    Chapter  Google Scholar 

  • Georgieva-Tsaneva, G., & Serbezova, I. (2020). Virtual reality and serious games using in distance learning in medicine in Bulgaria. International Journal of Emerging Technologies in Learning, 15(19), 223–230. https://doi.org/10.3991/ijet.v15i19.15753

    Article  Google Scholar 

  • Göğüş, A., Nistor, N., & Lerche, T. (2012). Educational technology acceptance across cultures: A validation of the unified theory of acceptance and use of technology in the context of Turkish national culture. Educational Technology, 11(4), 394–408.

  • Gunasinghe, A., Hamid, J. A., Khatibi, A., & Ferdous Azam, S. M. (2020). The viability of UTAUT-3 in understanding the lecturer’s acceptance and use of virtual learning environments. International Journal of Technology Enhanced Learning, 12(4), 458–481. https://doi.org/10.1504/IJTEL.2020.110056

    Article  Google Scholar 

  • Haight, M., Quan-Haase, A., & Corbett, B. A. (2014). Revisiting the digital divide in Canada: The impact of demographic factors on access to the internet, level of online activity, and social networking site usage. Information Communication and Society, 17(4), 503–519. https://doi.org/10.1080/1369118X.2014.891633

    Article  Google Scholar 

  • Harmandaoğlu Baz, E., Cephe, P. T., & Balçıkanlı, C. (2019). Understanding EFL pre-service teachers’ behavioral intentions to use cloud applications. E-Learning and Digital Media, 16(3), 221–238. https://doi.org/10.1177/2042753019834958

  • Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions and organizations across nations (2nd ed.). Thousand Oaks, CA: Sage Publications.

    Google Scholar 

  • Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind (3rd ed.). McGraw-Hill.

  • Hsu, H. P., Zou, W., & Hughes, J. E. (2019). Developing elementary students’ digital literacy through augmented reality creation: Insights from a longitudinal analysis of questionnaires, interviews, and projects. Journal of Educational Computing Research, 57(6), 1400–1435. https://doi.org/10.1177/0735633118794515

    Article  Google Scholar 

  • Huang, C. Y., Lou, S. J., Cheng, Y. M., & Chung, C. C. (2020). Research on teaching a welding implementation course assisted by sustainable virtual reality technology. Sustainability (Switzerland), 12(23), 1–21. https://doi.org/10.3390/su122310044

    Article  Google Scholar 

  • Hussin, N. H., Jaafar, J., & Downe, A. G. (2011). Assessing educators’ acceptance of Virtual Reality (VR) in the classroom using the unified theory of acceptance and use of technology (UTAUT). In H. B. Zaman, P. Robinson, M. Petrou, P. Olivier, & T. K. Shih (Eds.), Visual Informatics: Sustaining Research and Innovations. IVIC 2011. Lecture Notes in Computer Science (pp. 216–225). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25191-7_21

  • Islamoglu, H., Yurdakul, K., I., & Ursavas, O. F. (2021). Pre-service teachers’ acceptance of mobile-technology-supported learning activities. Educational Technology Research and Development, 69(2), 1025–1054. https://doi.org/10.1007/s11423-021-09973-8

    Article  Google Scholar 

  • Istenic, A., Bratko, I., & Rosanda, V. (2021). Are pre-service teachers disinclined to utilise embodied humanoid social robots in the classroom? British Journal of Educational Technology, 52(6), 2340–2358. https://doi.org/10.1111/bjet.13144

    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. https://doi.org/10.1007/s10639-017-9676-0

    Article  Google Scholar 

  • Kennedy, R., Lane, N., Berbaum, K., & Lilienthal, M. (1993). Simulator sickness questionnaire: An enhanced method for quantifying simulator sickness. The International Journal of Aviation Psychology, 3(3), 203–220. https://doi.org/10.1207/s15327108ijap0303_3

    Article  Google Scholar 

  • Kennedy-Clark, S. (2011). Pre-service teachers’ perspectives on using scenario-based virtual worlds in science education. Computers and Education, 57(4), 2224–2235. https://doi.org/10.1016/j.compedu.2011.05.015

    Article  Google Scholar 

  • Kim, T., & Biocca, F. (1997). Telepresence via television: Two dimensions of telepresence may have different connections to memory and persuasion. Journal of Computer-Mediated Communication, 3(2). https://doi.org/10.1111/j.1083-6101.1997.tb00073.x

  • Laufer, M., Leiser, A., Deacon, B., Perrin de Brichambaut, P., Fecher, B., Kobsda, C., & Hesse, F. (2021). Digital higher education: A divider or bridge builder? Leadership perspectives on edtech in a COVID-19 reality. International Journal of Educational Technology in Higher Education, 18(1), Article 51. https://doi.org/10.1186/s41239-021-00287-6

    Article  Google Scholar 

  • Lee, E. A. L., Wong, E., K. W., & Fung, C. C. (2010). How does desktop virtual reality enhance learning outcomes? A structural equation modeling approach. Computers and Education, 55(4), 1424–1442. https://doi.org/10.1016/j.compedu.2010.06.006

    Article  Google Scholar 

  • Li, Y., Ye, H., Ye, F., Liu, Y., Lv, L., Zhang, P. … Zhou, Y. (2021). The current situation and future prospects of simulators in dental education. Journal of Medical Internet Research, 23(4), Article e23635. https://doi.org/10.2196/23635

  • Lin, S., Zimmer, J. C., & Lee, V. (2013). Podcasting acceptance on campus: The differing perspectives of teachers and students. Computers & Education, 68, 416–428. https://doi.org/10.1016/j.compedu.2013a.06.003

    Article  Google Scholar 

  • Ma, Q., Chan, A. H. S., & Teh, P. L. (2020). Bridging the digital divide for older adults via observational training: Effects of model identity from a generational perspective. Sustainability (Switzerland), 12(11), 1–24. https://doi.org/10.3390/su12114555

    Article  Google Scholar 

  • Martin-Gutierrez, J., Mora, C. E., Anorbe-Diaz, B., & Gonzalez-Marrero, A. (2017). Virtual technologies trends in education. Eurasia Journal of Mathematics Science and Technology Education, 13(2), 469–486. https://doi.org/10.12973/eurasia.2017.00626a

    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 and Education, 70, 29–40. https://doi.org/10.1016/j.compedu.2013.07.033

    Article  Google Scholar 

  • Mikropoulos, T. A., & Natsis, A. (2011). Educational virtual environments: A ten-year review of empirical research (1999–2009). Computers and Education, 56(3), 769–780. https://doi.org/10.1016/j.compedu.2010.10.020

    Article  Google Scholar 

  • Ngampornchai, A., & Adams, J. (2016). Students’ acceptance and readiness for E-learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education, 13(1), Article 34. https://doi.org/10.1186/s41239-016-0034-x

    Article  Google Scholar 

  • Nistor, N., Göğüş, A., & Lerche, T. (2013). Educational technology acceptance across national and professional cultures: A European study. Educational Technology Research and Development, 61(4), 733–749. https://doi.org/10.1007/s11423-013-9292-7

  • Park, S., Freeman, J., Middleton, C., Allen, M., Eckermann, R., & Everson, R. (2015). The multi-layers of digital exclusion in rural Australia. In 48th Hawaii International Conference on System Sciences (HICSS 2015) Proceedings, IEEE, 3631–3640.

  • Parmaxi, A., Stylianou, K., & Zaphiris, P. (2017). Leveraging virtual trips in google expeditions to elevate students’ social exploration. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10516 LNCS, 368–371. https://doi.org/10.1007/978-3-319-68059-0_32

  • Parong, J., & Mayer, R. E. (2018). Learning science in immersive virtual reality. Journal of Educational Psychology, 110(6), 785–797. https://doi.org/10.1037/edu0000241

    Article  Google Scholar 

  • Poelmans, S., Wessa, P., Milis, K., & van Stee, E. (2009). Modeling educational technology acceptance and satisfaction. In International Conference Proceedings on Education and New Learning Technologies (EduLearn09), (pp. 5882–5889).

  • 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 and Education, 147, Article 103778. https://doi.org/10.1016/j.compedu.2019.103778

  • Reinartz, A., Buhtz, K., Graf-Vlachy, L., & König, A. (2018). Mechanisms of engagement with, and disengagement from, Internet applications: A qualitative study of online job search. In International Conference on Information Systems (ICIS), 2018, https://doi.org/10.2139/ssrn.3345148.

  • Rodríguez, F. C., Frattini, G., Krapp, L. F., Martinez-Hung, H., Moreno, D. M., Roldán, M. … Abriata, L. A. (2021). MoleculARweb: A web site for chemistry and structural biology education through interactive augmented reality out of the box in commodity devices. Journal of Chemical Education, 98(7), 2243–2255. https://doi.org/10.1021/acs.jchemed.1c00179

    Article  Google Scholar 

  • Ruddle, R. A., Volkova, E., & Bülthoff, H. H. (2013). Learning to walk in virtual reality. ACM Transactions on Applied Perception, 10(2), Article 11. https://doi.org/10.1145/2465780.2465785

    Article  Google Scholar 

  • Saini, C., & Abraham, J. (2019). Modeling educational usage of social media in pre-service teacher education. Journal of Computing in Higher Education, 31(1), 21–55. https://doi.org/10.1007/s12528-018-9190-4

  • Sánchez-Prieto, J. C., Huang, F., Olmos-Migueláñez, S., García-Peñalvo, F. J., & Teo, T. (2019). Exploring the unknown: The effect of resistance to change and attachment on mobile adoption among secondary pre-service teachers. British Journal of Educational Technology, 50(5), 2433–2449. https://doi.org/10.1111/bjet.12822

    Article  Google Scholar 

  • Sarkar, U., Karter, A. J., Liu, J. Y., Adler, N. E., Nguyen, R., López, A., & Schillinger, D. (2011). Social disparities in internet patient portal use in diabetes: Evidence that the digital divide extends beyond access. Journal of the American Medical Informatics Association, 18(3), 318–321. https://doi.org/10.1136/jamia.2010.006015

    Article  Google Scholar 

  • Senecal, S., Nijdam, N. A., Aristidou, A., & Magnenat-Thalmann, N. (2020). Salsa dance learning evaluation and motion analysis in gamified virtual reality environment. Multimedia Tools and Applications, 79(33–34), 24621–24643. https://doi.org/10.1007/s11042-020-09192-y

    Article  Google Scholar 

  • Shen, C. W., Ho, J. T., Ly, P. T. M., & Kuo, T. C. (2019). Behavioral intentions of using virtual reality in learning: perspectives of acceptance of information technology and learning style. Virtual Reality, 23(3), 313–324. https://doi.org/10.1007/s10055-018-0348-1

  • Shen, J., Wang, Y., Chen, C., Nelson, M. R., & Yao, M. Z. (2020). Using virtual reality to promote the university brand: When do telepresence and system immersion matter? Journal of Marketing Communications, 26(4), 362–393. https://doi.org/10.1080/13527266.2019.1671480

    Article  Google Scholar 

  • Sprenger, D. A., & Schwaninger, A. (2021). Technology acceptance of four digital learning technologies (classroom response system, classroom chat, e-lectures, and mobile virtual reality) after three months’ usage. International Journal of Educational Technology in Higher Education, 18, Article 8. https://doi.org/10.1186/s41239-021-00243-4

  • Talukdar, D., & Gauri, D. K. (2011). Home Internet access and usage in the USA: Trends in the socio-economic digital divide. Communications of the Association for Information Systems, 28(1), 85–98.

    Google Scholar 

  • Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly: Management Information Systems, 19(4), 561–568. https://doi.org/10.2307/249633

  • Teo, T., & Noyes, J. (2014). Explaining the intention to use technology among pre-service teachers: A multi-group analysis of the Unified Theory of Acceptance and Use of Technology. Interactive Learning Environments, 22(1), 51–66. https://doi.org/10.1080/10494820.2011.641674

    Article  Google Scholar 

  • Ulbrich, K., Schweiger, O., Klotz, S., & Settele, J. (2015). Biodiversity impacts of climate change-the PRONAS software as educational tool. Web Ecology, 15(1), 49–58. https://doi.org/10.5194/we-15-49-2015

    Article  Google Scholar 

  • Van Dijk, J. A. G. M. (2012). The evolution of the digital divide: The digital divide turns to inequality of skills and usage. In G. M. J. Bus, M. Crompton, M. Hildebrandt (Ed.), Digital Enlightenment Yearbook 2012 (pp. 57–78). IOS Press. https://doi.org/10.3233/978-1-61499-057-4-57

  • Vassilakopoulou, P., & Hustad, E. (2021). Bridging digital divides: A literature review and research agenda for information systems research. Information Systems Frontiers. https://doi.org/10.1007/s10796-020-10096-3

  • Veiga, F. J. M., & de Andrade, A. M. V. (2021). Critical success factors in accepting technology in the classroom. International Journal of Emerging Technologies in Learning, 16(18), 4–22. https://doi.org/10.3991/ijet.v16i18.23159

    Article  Google Scholar 

  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540

    Article  Google Scholar 

  • Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412

    Article  Google Scholar 

  • Wah, L. L., & Hashim, H. (2021). Determining pre-service teachers’ intention of using technology for teaching English as a second language (ESL). Sustainability (Switzerland), 13, Article 7568. https://doi.org/10.3390/su13147568

  • Wei, K. K., Teo, H. H., Chan, H. C., & Tan, B. C. (2011). Conceptualizing and testing a social cognitive model of the digital divide. Information Systems Research, 22(1), 170–187.

    Article  Google Scholar 

  • Wong, K. T., Teo, T., & Russo, S. (2013). Interactive whiteboard acceptance: Applicability of the UTAUT model to student teachers. Asia-Pacific Education Researcher, 22(1), 1–10. https://doi.org/10.1007/s40299-012-0001-9

    Article  Google Scholar 

  • Yang, J. C., Chen, C. H., & Jeng, M. C. (2010). Integrating video-capture virtual reality technology into a physically interactive learning environment for English learning. Computers & Education, 55(3), 1346–1356. https://doi.org/10.1016/j.compedu.2010.06.005

  • Zhong, Z. J. (2011). From access to usage: The divide of self-reported digital skills among adolescents. Computers and Education, 56(3), 736–746. https://doi.org/10.1016/j.compedu.2010.10.016

    Article  MathSciNet  Google Scholar 

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This study was supported by Fundamental Research Funds for the Central Universities (No. 2021NTSS52).

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  1. Beijing Normal University School of Journalism and Communication, 100875 No.19, Xinjiekouwai St, Haidian District, Beijing, P R China

    Qian Li, Qian Liu & Yi Chen

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Li and Liu were the principal researchers in this project. They contributed to the study design, data collection and analysis, and drafting and revising the texts. Chen was responsible for the implementation of the experiment and writing. All authors read and approved the final manuscript.

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Li, Q., Liu, Q. & Chen, Y. Prospective Teachers’ Acceptance of virtual reality technology: a mixed study in Rural China. Educ Inf Technol 28, 3217–3248 (2023). https://doi.org/10.1007/s10639-022-11219-w

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