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Training with, about, for Metaverse: A Mixed Methods Research on Training Pre-Service Teachers as Metaverse-Certified Practitioners

이혜진|황요한
영상영어교육학회 (The Society For Teaching English Through Media)|2023.11|영상영어교육 (Journal of English Teaching through Movies and Media)|제24권 제4호|pp. 73-93

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키워드

TOEICpre-service teachersmetaverse-certificateUTAUT 2technology-enhanced teacher training
주제분류영어와문학

초록

This mixed-method research aims to examine transformative affordances of the metaverse for pre-service teachers and investigate support mechanisms for technology-enhanced teacher training. Specifically, 40 pre-service teachers were involved in training with, about, for metaverse (TM) to convert high-stakes TOEIC test items into virtual content. Upon completion of the TM, participants were eligible to apply for nationally accredited private metaverse certificates to mark them as certified practitioners. To capture their multifaceted TM experience, this research employed surveys based on UTAUT (Unified Theory of Acceptance and Use of Technology) 2 constructs, as well as reflective journals and advanced analytics. The collected data were analyzed using quantitative techniques (t-tests, multiple regression analysis, and structural equation modeling) and qualitative methods (sentiment and content analysis) to offer a more comprehensive understanding of the technological training for pre-service teachers. The findings revealed that the overall reception of the TM experience among pre-service teachers was highly positive. Notable improvements were observed in facilitating conditions, effort expectancy, and hedonic motivation. Text-mining results also revealed how the TM framework transformed pre-service teachers’ perspectives on teaching, testing, and learning. Based on the findings, the study contributes to the ongoing dialogue on effective technology integration in education.

Abstract

This mixed-method research aims to examine transformative affordances of the metaverse for pre-service teachers and investigate support mechanisms for technology-enhanced teacher training. Specifically, 40 pre-service teachers were involved in training with, about, for metaverse (TM) to convert high-stakes TOEIC test items into virtual content. Upon completion of the TM, participants were eligible to apply for nationally accredited private metaverse certificates to mark them as certified practitioners. To capture their multifaceted TM experience, this research employed surveys based on UTAUT (Unified Theory of Acceptance and Use of Technology) 2 constructs, as well as reflective journals and advanced analytics. The collected data were analyzed using quantitative techniques (t-tests, multiple regression analysis, and structural equation modeling) and qualitative methods (sentiment and content analysis) to offer a more comprehensive understanding of the technological training for pre-service teachers. The findings revealed that the overall reception of the TM experience among pre-service teachers was highly positive. Notable improvements were observed in facilitating conditions, effort expectancy, and hedonic motivation. Text-mining results also revealed how the TM framework transformed pre-service teachers’ perspectives on teaching, testing, and learning. Based on the findings, the study contributes to the ongoing dialogue on effective technology integration in education.

참고문헌 (49)

  1. Adov, L., "Does it have to be easy, useful, or do we need something else? STEM teachers’ attitudes towards mobile device use in teaching", Technology, Pedagogy and Education, 29(4), pp.511~526 (2020)[DOI]
  2. Ainley, M., "The international handbook of virtual learning environments", pp.365~394 (2006), Springer
  3. Azzaro, G., "Emotions in Second language teaching: Theory, research, and teacher education", pp.183~204 (2018), Springer International Publishing
  4. Bhatt, I. U., "Augmented immersive reality (AIR) for improved learning performance: A quantitative evaluation", IEEE Transactions on Learning Technologies, 13(2), pp.283~296 (2020)[DOI]
  5. Bults, M., "Barriers and drivers regarding the use of mobile health apps among patients with Type 2 diabetes mellitus in the Netherlands:Explanatory sequential design study", JMIR Diabetes, 7(1), pp.e31451~ (2022)[DOI]
  6. Campbell, L. O., "Student-created video : An active learning approach in online environments", Interactive Learning Environments, 30(6), pp.1145~1154 (2022)[DOI]
  7. Chao, C., "Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model", Frontiers in Psychology, 10 (2019)[DOI]
  8. Chen, C., "Immersive virtual reality to train preservice teachers in managing students’ challenging behaviours:A pilot study", British Journal of Educational Technology, 53(4), pp.998~1024 (2022)[DOI]
  9. Chen, Z., "Exploring the application scenarios and issues facing Metaverse technology in education", Interactive Learning Environments (2022)[DOI]
  10. Cowie, N., "The affordances and challenges of virtual reality for language teaching", International Journal of TESOL Studies, 4(3), pp.50~65 (2022)[DOI]
  11. De Back, T. T., "Learning in immersed collaborative virtual environments : Design and implementation", Interactive Learning Environments, 31(8), pp.5364~5382 (2023)[DOI]
  12. Demirli, C., "ICT usage of pre-service teachers : Cultural comparison for turkey and Bosnia and Herzegovina", Educational Sciences : Theory and Practice, 13(2), pp.1095~1105 (2013)
  13. Deutschmann, M., "Learning and teaching in the virtual world of Second Life", pp.27~44 (2009), Tapir Academic Press
  14. Dunn, T. J., "Technology enhanced learning in higher education : Motivations, engagement and academic achievement", Computers & Education, 137, pp.104~113 (2019)[DOI]
  15. Hew, K. F., "Using chatbots to support student goal setting and social presence in fully online activities : Learner engagement and perceptions", Journal of Computing in Higher Education, pp.1~29 (2022)[DOI]
  16. Huang, Y. C., "An investigation of motivation and experience in virtual learning environments : A self-determination theory", Education and Information Technologies, 24(1), pp.591~611 (2019)[DOI]
  17. Hwang, G. J., "Definition, roles, and potential research issues of the metaverse in education : An artificial intelligence perspective", Computers and Education : Artificial Intelligence, 3, pp.100082~ (2022)[DOI]
  18. Hwang, Y., "When makers meet the metaverse : Effects of creating NFT metaverse exhibition in maker education", Computers & Education, 194, pp.104693~ (2023)[DOI]
  19. Hwang, Y., "Students’ perception on immersive learning through 2D and 3D metaverse platforms", Educational Technology Research and Development, 71, pp.1687~1708 (2023)[DOI]
  20. Jeon, J., "Exploring AI chatbot affordances in the EFL classroom: Young learners’ experiences and perspectives", Computer Assisted Language Learning (2022)[DOI]
  21. Jeon, J., "Enhancing EFL pre-service teachers’ affordance noticing and utilizing with the Synthesis of Qualitative Evidence strategies : An exploratory study of a customizable virtual environment platform", Computers & Education, 190, pp.104620~ (2022)[DOI]
  22. 강현숙, "대학 영어비교과프로그램에 나타난 영어학습에 대한 요구", 교양교육연구, 15(6), pp.251~264 (2021), 한국교양교육학회
  23. Kim, J., "Conceptual model to predict Filipino teachers’ adoption of ICT-based instruction in class : Using the UTAUT model", Asia Pacific Journal of Education, 42(4), pp.699~713 (2020)[DOI]
  24. Kim, J., "Effects of reputation and website quality on online consumers’ emotion, perceived risk, and purchase intention", Journal of Research in Interactive Marketing, 7(1), pp.33~56 (2013)[DOI]
  25. Lee, D., "Use of a modified UTAUT model to investigate the perspectives of internet access device users", International Journal of Human-Computer Interaction, 33(7), pp.549~564 (2016)[DOI]
  26. Lee, H., "Technology-enhanced education through VR-making and metaverse-linking to foster teacher readiness and sustainable learning", Sustainability, 14, pp.4786~ (2022)[DOI]
  27. Li, M., "A systematic review on the metaverse-based blended English learning", Frontiers in Psychology, 13, pp.1087508~ (2023)[DOI]
  28. Lim, C. P., "Development of pre-service teachers’ information and communication technology(ICT)in education competencies in a mainland Chinese university", Educational Media International, 52(1), pp.15~32 (2015)[DOI]
  29. Mei-jung, W., "The current practice of integration of information communication technology to English teaching and the emotions involved in blended learning", The Turkish Online Journal of Educational Technology, 13(3), pp.188~201 (2014)
  30. Mitchell, K. M., "Assessing college students’ perceptions of and intentions to use a mobile app for mental health", Telemedicine Journal and E-health, 28(4), pp.566~574 (2022)[DOI]
  31. Moon, J. W., "Extending the TAM for a world-wide-web context", Information and Management, 38, pp.217~230 (2001)[DOI]
  32. Mystakidis, S., "Metaverse", Encyclopedia, 2(1), pp.486~497 (2022)[DOI]
  33. Nami, F., "Developing in-service teachers’ pedagogical knowledge of CALL through project-oriented tasks : The case of an online professional development course", ReCALL, 4(1), pp.110~125 (2022)[DOI]
  34. Omar, M. N., "The influence of mobile technology adoption among secondary school teachers using the UTAUT 2 model", International Journal of Recent Technology and Engineering, 8(4), pp.3827~3831 (2019)[DOI]
  35. Park, S., "Identifying world types to deliver gameful experiences for sustainable learning in the metaverse", Sustainability, 14(3), pp.1361~ (2022)[DOI]
  36. Schneckenberg, D., "Understanding the real barriers to technology-enhanced innovation in higher education", Educational Research, 51(4), pp.411~424 (2009)[DOI]
  37. Syam, S. B., "Analysis of the effect of using e-learning on the learning process using the UTAUT method", Journal of Computer Science and Technology Studies, 5(1), pp.8~14 (2023)[DOI]
  38. Talebian, S., "Information and communication technology(ICT)in higher education : Advantages, disadvantages, conveniences and limitations of applying e-learning to agricultural students in Iran", Procedia-Social and Behavioral Sciences, 152, pp.300~305 (2014)
  39. Tiba, C., "Identifying factors influencing pre-service teacher readiness to use technology during professional practice", International Journal of Information and Communication Technology Education, 17(2), pp.149~161 (2021)[DOI]
  40. Tondeur, J., "Time for a new approach to prepare future teachers for educational technology use : Its meaning and measurement", Computers & Education, 94, pp.134~150 (2016)[DOI]
  41. Tosuntaş, Ş. B., "The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project : A structural equation model based on the Unified Theory of acceptance and use of technology", Computers & Education, 81, pp.169~178 (2015)[DOI]
  42. Venkatesh, V., "User acceptance of information technology : Toward a unified view", Management Information Systems Quarterly, 27(3), pp.425~478 (2003)[DOI]
  43. Venkatesh, V., "Consumer acceptance and use of information technology : Extending the unified theory of acceptance and use of technology", Management Information Systems Quarterly, 36(1), pp.157~178 (2012)[DOI]
  44. Wah, L. L., "Determining pre-service teachers’ intention of using technology for teaching English as a second language(ESL)", Sustainability, 13(14), pp.7568~ (2021)[DOI]
  45. Wong, S., "Mobile internet adoption in Malaysian suburbs : The moderating effect of gender", Asian Journal of Business Research, 9(3), pp.90~114 (2020)[DOI]
  46. Wu, C., "Applying control-value theory and unified theory of acceptance and use of technology to explore pre-service teachers’ academic emotions and learning satisfaction", Frontiers in Psychology, 12 (2021)[DOI]
  47. Wu, J. G., "Into the brave new metaverse: Envisaging future language teaching and learning", IEEE Transactions on Learning Technologies, pp.1~11 (2023)[DOI]
  48. 윤용배, "대학 토익과목의 유용성에 대한 관계자의 인식과 교수자의 책임", 인문사회 21, 12(2), pp.1507~1520 (2021), 인문사회 21
  49. Zhang, X., "The metaverse in education : Definition, framework, features, potential applications, challenges, and future research topics", Frontiers in Psychology, 13, pp.1016300~ (2022)[DOI]

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