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A Study on Chinese College Students’ Acceptance of Using Rain Classroom to Have Online English Courses During the COVID-19 Outbreak

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초록

This study investigated Chinese college EFL learners’ perceptions of Rain Classroom, a technology adopted for online English learning and instruction, by applying the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model in order to determine what factors affected students’ perceptions a nd intentions to use it. This study analyzed the correlation between the variables of UTAUT2 and students’ acceptance of using Rain Classroom as a tool for delivering online College English courses during the outbreak of Covid-19 pandemic in Beijing, China. The results from the analysis of data revealed that performance expectancy (PE), facilitating conditions (FC) and hedonic motivation (HM) all played a significant role in influencing college students’ continuance intention to use Rain Classroom for their future online study. Among these, HM was the strongest determinant of the future intention to use Rain Classroom. The constructs of effort expectancy (EE) and social influence (SI), however, did not have a significant impact on behavioral intention of college EFL students regarding Rain Classroom adoption. Practical implications and possible future study directions were also proposed based on the research findings.

Abstract

This study investigated Chinese college EFL learners’ perceptions of Rain Classroom, a technology adopted for online English learning and instruction, by applying the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model in order to determine what factors affected students’ perceptions a nd intentions to use it. This study analyzed the correlation between the variables of UTAUT2 and students’ acceptance of using Rain Classroom as a tool for delivering online College English courses during the outbreak of Covid-19 pandemic in Beijing, China. The results from the analysis of data revealed that performance expectancy (PE), facilitating conditions (FC) and hedonic motivation (HM) all played a significant role in influencing college students’ continuance intention to use Rain Classroom for their future online study. Among these, HM was the strongest determinant of the future intention to use Rain Classroom. The constructs of effort expectancy (EE) and social influence (SI), however, did not have a significant impact on behavioral intention of college EFL students regarding Rain Classroom adoption. Practical implications and possible future study directions were also proposed based on the research findings.

참고문헌 (28)

  1. Ajzen, I., "Understanding Attitudes and Predicting Social Behavior" (1980), Prentice Hall
  2. An, B., "Research on the Satisfaction of Hybrid College English Teaching Based on Artificial Intelligence Rain Classroom", Journal of Physics: Conference Series, 1992(2), pp.022078~ (2021)[DOI]
  3. Chen, J., "Enhancing L2 Learners’ Critical Thinking Skills Through a Connectivism-Based Intelligent Learning System", International Journal of English Linguistics, 8(6), pp.12~21 (2018)[DOI]
  4. Chu, X., "Students’ Experiences and Perceptions on Different Online Learning Platforms: The Cases of Rain Classroom and Blackboard Learn", 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022), pp.1975~1985 (2022), Atlantis Press
  5. Davis, F. D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, 13(3), pp.983~1003 (1989)[DOI]
  6. Davis, F. D., "User acceptance of information technology : system characteristics, user perceptions and behavioral impacts", International journal of man-machine studies, 38(3), pp.475~487 (1993)[DOI]
  7. Dodds, W. B., "Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations", Journal of Marketing Research, 28(3), pp.307~319 (1991)[DOI]
  8. Field, A., "Discovering statistics using SPSS" (2009), SAGE
  9. Fornell, C., "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error", Journal of Marketing Research, 18(1), pp.39~50 (1981)[DOI]
  10. George, D., "SPSS for Windows Step by Step: A Simple Guide and Reference 18.0 Update" (2010), Taylor & Francis
  11. Hair, J. F., "Multivariate data analysis" (2010), Pearson
  12. Han, L., "Enhancing student participation in information literacy course based on Rain Classroom : a case study", Library Hi Tech, 38(3), pp.522~536 (2019)[DOI]
  13. Hvalshagen, M., "When Worlds Collide : Framing Students’ Challenges with Stay-at-home Learning During COVID-19 through the Lens of Conflicting Role Identities", Communications of the Association for Information Systems, 48(1), pp.227~235 (2021)[DOI]
  14. James, G., "An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)" (2013), Springer
  15. Limayem, M., "How Habit Limits the Predictive Power of Intention : The Case of Information Systems Continuance", MIS Quarterly, 31(4), pp.705~737 (2007)[DOI]
  16. Park, S. Y., "An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning", Journal of Educational Technology & Society, 12(3), pp.150~162 (2009)
  17. Shu, B., "Use of Rain Classroom as a Teaching Tool in a Biochemistry Course", Journal of Curriculum and Teaching, 8(3), pp.15~23 (2019)[DOI]
  18. Sun, H., "A SPOC Teaching Mode of College English Translation Based on “Rain Classroom”", International Journal of Emerging Technologies in Learning(iJET), 14(17), pp.182~193 (2019)[DOI]
  19. Taylor, D., "Transformation to learning from a distance", MedEdPublish, 9(1), pp.1~12 (2020)
  20. Venkatesh, V., "A Theoretical Extension of the Technology Acceptance Model : Four Longitudinal Field Studies", Management Science, 46(2), pp.186~204 (2000)[DOI]
  21. Venkatesh, V., "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes", Organizational Behavior and Human Decision Processes, 83(1), pp.33~60 (2000)[DOI]
  22. Venkatesh, V., "User Acceptance of Information Technology : Toward a Unified View", MIS Quarterly, 27(3), pp.425~478 (2003)[DOI]
  23. Venkatesh, V., "Consumer Acceptance and Use of Information Technology : Extending the Unified Theory of Acceptance and Use of Technology", MIS Quarterly, 36(1), pp.157~178 (2012)[DOI]
  24. Wang, J., "Research on Blended Teaching Mode of College English based on Rain Classroom", 2018 6th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference(IEESASM 2018), pp.386~390 (2019)
  25. Yang, B., "Turn crisis into opportunity in response to COVID-19 : experience from a Chinese University and future prospects", Studies in Higher Education, 46(1), pp.121~132 (2021)[DOI]
  26. Yu, Z., "Acceptance and Effectiveness of Rain Classroom in Linguistics Classes", International Journal of Mobile and Blended Learning, 12(2), pp.77~90 (2020)[DOI]
  27. Zhang, H., "Blended Teaching Mode Based on Rain Classroom in College English", IOP Conference Series: Materials Science and Engineering, 631(4), pp.042024~ (2019)[DOI]
  28. Zhang, L., "Rain Classroom-Based Smart Class Construction : Taking Advanced Business English Courses as an Example", Social Sciences, 9(4), pp.98~101 (2020)[DOI]

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