Determinants of Online Education Technology Acceptance Among Vietnamese Undergraduates: A UTAUT-Typed Model Analysis
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https://doi.org/10.52296/vje.2023.303-
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The COVID-19 pandemic and information technology development have boosted online education, especially at higher education institutions. However, what makes online education exciting and valuable and influences student acceptance is not always understood. Using the modified unified theory of acceptance and use of technology (UTAUT) model, stratified probability sampling method, the survey technique, 232 valid Vietnamese undergraduates as respondents, reliability and Pearson correlation tests, confirmatory factor analysis, and SEM, this study shows that the performance expectancy is not statistically significant in affecting the Vietnamese undergraduates' behavioral intentions related to online education technology acceptance. Also, the facilitating conditions are not statistically significant in affecting usage behavior. However, effort expectancy and social influence are statistically significant and positively affect Vietnamese undergraduates' behavioral intentions related to online education technology acceptance. Furthermore, the empirical results support behavioral intention's positive and significant impact on usage behavior. These findings help educators gain further knowledge of students' needs and then invest more in education technology for the success of their students and institutions. Also, higher education institutions are encouraged to spend more time and resources to train their students using technology to boost their online education acceptance.
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Abbad, M. (2021). Using the UTAUT model to understand student’s usage of e-learning systems in developing countries. Education and Information Technologies, 26(6), 7205-7224. https://doi.org/10.1007/s10639-021-10573-5
Agudo-Peregrina, A., Hernández-García, A., & Pascual-Miguel, F. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301-314. https://doi.org/10.1016/j.chb.2013.10.035
Alshehri, A. (2019). An implementation of the UTAUT model for understanding student’s perceptions of learning management systems: A study within tertiary institutions in Saudi Arabia. International Journal of Distance Education Technologies, 17(3), 1-24. https://doi.org/10.4018/IJDET.2019070101
Attuquayefio, S., & Addo, H. (2014). Using the UTAUT model to analyze students’ ICT adoption. International Journal of Education and Development using Information and Communication Technology, 10(3), 75-86.
Bonett, D., & Wright, T. (2014). Cronbach’s alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of Organizational Behavior, 36(1), 3-15. https://doi.org/10.1002/job.1960
Bouchrika, I. (2023). 51 LMS statistics: 2023 data, trends & predictions. https://research.com/education/lms-statistics?fbclid=IwAR3NatOwUTsL1xkqfnbvJoB5S-teii1BvZU2p5TmNoF9c5-uBVGRgNjiPmk
Bradley, V. (2020). Learning management system (LMS) use with online instruction. International Journal of Technology in Education, 4(1), 68-92. https://doi.org/10.46328/ijte.36
Byrne, B. M. (2001). Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming. Lawrence Erlbaum Associates.
Carmines, E., & McIver, J. (1981). Analyzing models with unobserved variables. In G. Bohrnstedt & E. Borgatta (Eds.), Social measurement: Current issues (pp. 65-115). Sage.
Chao, C. (2019). Factors determining the behavioral intention to use mobile learning: an application and extension of the UTAUT model. Frontiers in Psychology, 10(1652), 1-14. https://doi.org/10.3389/fpsyg.2019.01652
Chung, K., & Shin, J. (2010). The antecedents and consequents of relationship quality in internet shopping. Asia Pacific Journal of Marketing and Logistics, 22(4), 473-491. https://doi.org/10.1108/13555851011090510
Comrey, A., & Lee, H. (1992). A first course in factor analysis. Erlbaum.
Davis, D. (1986). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339. https://doi.org/10.2307/249008
Davis, D., Bagozzi, P., & Warshaw, R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Dinh, L., & Nguyen, T. (2020). Pandemic, social distancing, and social work education: student’s satisfaction with online education in Vietnam. Social Work Education, 39(8), 1074-1083. https://doi.org/10.1080/02615479.2020.1823365
Dinh, M., Phuoc, L., & Tran, AT. (2022). How to create, maintain, and reinforce student’s motivation and engagement in online education: A discussion. Vietnam Journal of Education, 6(1), 53-61. https://doi.org/10.52296/vje.2022.133
DiStefano, C., & Hess, B. (2005). Using confirmatory factor analysis for construct validation: An empirical review. Journal of Psychoeducational Assessment, 23(3), 225-241. https://doi.org/10.1177/073428290502300303
Everitt, B. (1975). Multivariate analysis: The need for data, and other problems. British Journal of Psychiatry, 126, 237-240. https://doi.org/10.1192/bjp.126.3.237
Fan, Y., Chen, J., Shirkey, G., John, R., Wu, S., Park, H., & Shao, C. (2016). Applications of structural equation modeling (SEM) in ecological studies: An updated review. Ecological Processes, 5(19). https://doi.org/10.1186/s13717-016-0063-3
Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the technology acceptance model (TAM) to examine faculty use of learning management systems (LMSs) in higher education institutions. Journal of Online Learning and Teaching, 11(2), 210-232.
Fornell, C., & Larcker, D. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
Garone, A., Pynoo, B., Tondeur, J., Cocquyt, C., Vanslambrouck, S., Bruggeman, B., & Struyven, K. (2019). Clustering university teaching staff through UTAU: Implications for the acceptance of a new learning management system. British Journal of Educational Technology, 50(5), 2466-2483. https://doi.org/10.1111/bjet.12867
Gorsuch, R. (1983). Factor analysis (2nd ed.). Erlbaum.
Guilford, J. (1954). Psychometric methods (2nd ed.). McGraw-Hill.
Hair, J., Black, W., Babin, B., & Anderson, R. (2019). Multivariate data analysis (8th ed.). Cengage.
Henseler, J., Ringle, C., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
Ho, I., Cheong, K., & Weldon, A. (2021). Predicting student satisfaction of emergency remote learning in higher education during Covid-19 using machine learning techniques. PLoS One, 16(4), Article e0249423. https://doi.org/10.1371/journal.pone.0249423
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1-55. https://doi.org/10.1080/10705519909540118
Karahanna, E., Straub, D., & Chervany, N. (1999). Information technology adoption across time: A cross-sectional comparison of pre-Adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183-213. https://doi.org/10.2307/249751
Khechine, H., Raymond, B., & Augier, M. (2020). The adoption of a social learning system: Intrinsic value in the UTAUT model. British Journal of Educational Technology, 51(6), 2306-2325. https://doi.org/10.1111/bjet.12905
Kim, S., & Stoel, L. (2004). Apparel retailers: Website quality dimensions and satisfaction. Journal of Retailing and Consumer Services, 11(2), 109-117. https://doi.org/10.1016/S0969-6989(03)00010-9
Krueger, R., Casey, M., Donner, J., Kirsch, S., & Maack, J. (2001). Social analysis: Selected tools and techniques. Social development papers, no. 36. World Bank Group. https://documents.worldbank.org/en/publication/documents-reports/documentdetail/568611468763498929/social-analysis-selected-tools-and-techniques
MacCallum, R., Widaman, K., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4(1), 84-89. https://doi.org/10.1037/1082-989X.4.1.84
Mukuka, A., Shumba, O., & Mulenga, H. (2021). Students’ experiences with remote learning during the Covid-19 school closure: Implications for mathematics education. Heliyon, 7(7), Article e07523. https://doi.org/10.1016/j.heliyon.2021.e07523
Netemeyer, R., Bearden, W., & Sharma, S. (2003). Scaling Procedures: Issues and Applications. SAGE.
Pham, H., & Ho, T. (2020). Toward a ‘new normal’ with e-learning in Vietnamese higher education during the post Covid-19 pandemic. Higher Education Research & Development, 39(7), 1327-1331. https://doi.org/10.1080/07294360.2020.1823945
Pham, P., Nguyen, M., Nguyen, T., Nguyen, M., Duong, Y., Ho, T., Le, A., & Nguyen, B. (2021). Blended learning in action: Perception of teachers and students on implementing blended learning in CTU. Multicultural Education, 7(4), 379-385. https://doi.org/10.5281/zenodo.4728153
Pokhrel, S., & Chhetri, R. (2021). A literature review on impact of Covid-19 pandemic on teaching and learning. Higher Education for the Future, 8(1), 133-141. https://doi.org/10.1177/2347631120983481
Raman, A., Don, Y., Khalid, R., & Rizuan, M. (2014). Usage of learning management system (Moodle) among postgraduate students: UTAUT model. Asian Model Science, 10(14), 186-192. http://doi.org/10.5539/ass.v10n14p186
Smalley, S. (2021). Half of all college students take online courses. Inside Higher Ed. https://www.insidehighered.com/news/2021/10/13/new-us-data-show-jump-college-students-learning-online
Song, H., Kim, J., & Park, N. (2019). I know my professor: Teacher self-disclosure in online education and mediating role of social presence. International Journal of Human-Computer Interaction, 25(5), 448-455. https://doi.org/10.1080/10447318.2018.1455126
Sumak, B., Polancic, G., & Hericko, M. (2010). An empirical study of virtual learning environment adoption using UTAUT [Paper presentation]. 2010 Second International Conference on Mobile, Hybrid, and Online Learning, Saint Maarten, Netherlands Antilles. https://doi.org/10.1109/eLmL.2010.11
Sun, J. (2005) Assessing goodness of fit in confirmatory factor analysis. Measurement and Evaluation in Counseling and Development, 37(4), 240-256. https://doi.org/10.1080/07481756.2005.11909764
Sung, H., Jeong, D., Jeong, Y. & Shin, J. (2015). The relationship among self-efficacy, social influence, performance expectancy, effort expectancy, and behavioral intention in mobile learning service. International Journal of U- and E- Service, Science and Technology, 8(9), 197-206. https://doi.org/10.14257/ijunesst.2015.8.9.21
Swart, A. (2015). Student usage of a learning management system at an open distance learning institution: A case study in electrical engineering. International Journal of Electrical Engineering Education, 52(2), 142-154. https://doi.org/10.1177/0020720915575925
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176. https://doi.org/10.1287/isre.6.2.144
Tuckel., P., & Pok-Carabalona, K. (2023). Student attitudes towards distance learning at a large urban public college. Online Learning Journal, 27(2), 94-118. https://doi.org/10.24059/olj.v27i2.3277
Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J., Chan, F., Hu, P., & Brown, S. (2011). Extending the two-stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Information Systems Journal, 21(6), 527-555. https://doi.org/10.1111/j.1365-2575.2011.00373.x
Vietnam Ministry of Education and Training. (2021). Statistics of higher education in Vietnam in academic year 2019-2020. https://moet.gov.vn/thong-ke/Pages/thong-ko-giao-duc-dai-hoc.aspx?ItemID=7389
Watson, R., & Watson, L. (2007). What are learning management systems, what are they not, and what should they become? TechTrends, 51(2), 28-34. https://doi.org/10.1007/s11528-007-0023-y
Watson, S., Sullivan, D., & Watson, K. (2023). Teaching presence in asynchronous online classes: It’s not just a façade. Online Learning Journal, 27(2), 288-303. https://doi.org/10.24059/olj.v27i2.3231
Yu, C. (2012). Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13(2), 104-121.
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