Factors Influencing Freshmen’s Acceptance of Online Learning: A Study at Hanoi University of Industry

Authors

DOI:

https://doi.org/10.54855/ijte.22251

Keywords:

online learning, higher education, measurement, students' acceptance

Abstract

The sudden outbreak of Covid-19 has challenged Vietnamese educational systems, forcing educational institutions across the nation, especially universities and colleges, to shift to an online mode of teaching and learning. What has concerned Vietnamese educators and policymakers is the quality of these online teaching and learning activities. Blayone (2018), Cigdem and Ozturk (2016) as well as Wei and Chou (2020) shared the belief that the acceptance of students decided the success of online teaching and learning. However, only a little research has been done so far on Vietnamese students' acceptance of online learning. Therefore, this quantitative study focuses on determining factors influencing freshmen's acceptance of online learning at Hanoi University of Industry, thus identifying their acceptance level of online learning. Data was collected by a survey with the use of random sampling and the participation of language-majored students from the Hanoi University of Industry. The collected data was quantitatively processed with the employment of SPSS. The results indicate that freshmen’s acceptance of online learning is affected by four main factors, including performance expectancy, effort expectancy, attitude, and technological competencies. With respect to the research findings, several implications are suggested for effective online learning and teaching in Vietnam.

Author Biographies

  • Trinh Hong Linh, University of Languages and International Studies, Vietnam National University, Ha Noi, Vietnam

    Trinh Hong Linh is currently a Ph.D. student at Vietnam National University, University of Education and an English language lecturer at the University of Languages and International Studies, Vietnam National University, and a Ph.D. student at VNU - University of Education. Her research interest is in English language teaching as well as assessment and measurement.

  • Pham Duc Long, Hanoi University of Industry, Ha Noi, Vietnam

    Pham Duc Long is a Ph.D. student at Vietnam National University, University of Education, Ha Noi, Vietnam. His research interests include university and enterprise partnerships, language learning, and employability development. He has worked at the Center for Enterprise Partnership, Hanoi University of Industry for seven years to support students with preparing employability skills to meet the labor market.

  • Phan Van Viet, Testing and Training, Education Assurance Section, Political Officers University, Ha Noi, Vietnam

    Phan Van Viet works in the Testing and Training, Education Assurance Section of Political Officers University, Ha Noi, Vietnam. He is also a Master's student at Vietnam National University, University of Education, Ha Noi, Vietnam. His research interest is in assessment and measurement as well as quality assurance.

  • Nguyen Ha Trang, National Testing Center, Ministry of Education and Training, Ha Noi,Vietnam

    Nguyen Ha Trang is currently a master's student in Educational Measurement and Assessment at Vietnam National University - University of Education. Her main job is as an expert in the examination and evaluation department, National Testing Center, Ministry of Education and Training.

References

Adedoyin, O. B., & Soykan, E. (2020). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2020.1813180

Agyeiwaah, E., Badu Baiden, F., Gamor, E., & Hsu, F. C. (2022). Determining the attributes that influence students' online learning satisfaction during COVID-19 pandemic. Journal of Hospitality, Leisure, Sport & Tourism Education, 30, 100364. https://doi.org/10.1016/j.jhlste.2021.100364

Alghamdi, A. M., Alsuhaymi, D. S., Alghamdi, F. A., Farhan, A. M., Shehata, S. M., & Sakoury, M. M. (2022). University students' behavioral intention and gender differences toward the acceptance of shifting regular field training courses to e-training courses. Education and Information Technologies, 27(1), 451–468. https://doi.org/10.1007/s10639-021-10701-1

Ali, W. (2020). Online and Remote Learning in Higher Education Institutes: A Necessity in light of COVID-19 Pandemic. Higher Education Studies, 10(3), 16. https://doi.org/10.5539/hes.v10n3p16

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411

Baytiyeh, H. (2018). Online learning during post-earthquake school closures. Disaster Prevention and Management: An International Journal, 27(2), 215–227. https://doi.org/10.1108/DPM-07-2017-0173

Blayone, T. J. B., Mykhailenko, O., Kavtaradze, M., Kokhan, M., vanOostveen, R., & Barber, W. (2018). Profiling the digital readiness of higher education students for transformative online learning in the post-soviet nations of Georgia and Ukraine. International Journal of Educational Technology in Higher Education, 15(1). https://doi.org/10.1186/s41239-018-0119-9

Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58, 843–855.

Cigdem, H., & Ozturk, M. (2016). Critical components of online learning readiness and their relationships with learner achievement. Turkish Online Journal of Distance Education, 17(2), 98–109

Dumford, A. D., & Miller, A. L. (2018). Online learning in higher education: exploring advantages and disadvantages for engagement. Journal of Computing in Higher Education, 30(3), 452–465. https://doi.org/10.1007/s12528-018-9179-z

García Botero, G., Questier, F., Cincinnato, S., He, T., & Zhu, C. (2018). Acceptance and usage of mobile assisted language learning by higher education students. Journal of Computing in Higher Education, 30(3), 426–451. https://doi.org/10.1007/s12528-018-9177-1

Gillett-Swan, J. (2017). The Challenges of Online Learning: Supporting and Engaging the Isolated Learner. Journal of Learning Design, 10(1), 20. https://doi.org/10.5204/jld.v9i3.293

Hair Jr., J. F. et al. (1998). Multivariate Data Analysis. Englewood Cliffs, NJ Prentice-Hall

Hanoi University of Industry. (2021). Minimum entry requirement to register for university entrance in 2021 (in Vietnamese). https://tuyensinh.haui.edu.vn/dai-hoc/diem-dieu-kien-dang-ky-xet-tuyen-dai-hoc-chinh-quy-nam-2021/612999dd66fa9c2e00bd329b

Kew, S. & Petsangsri, S. & Ratanaolarn, T. & Tasir, Z. (2018). Examining the motivation level of students in e-learning in higher education institution in Thailand: A case study. Education and Information Technologies. 23(6). 10.1007/s10639-018-9753-z.

Liu, P., Teng, M., & Han, C. (2020). How does environmental knowledge translate into pro-environmental behaviors?: The mediating role of environmental attitudes and behavioral intentions. Science of the Total Environment, 728, 138126. https://doi.org/10.1016/j.scitotenv.2020.138126

Mattice, N. J., & Dixon, P. (1999). Student preparedness for distance education (ED 436 216). College of the Canyons.

Mosa, A. A. , Mahrin, M. N., & Ibrrahim, R. (2016), Technological Aspects of E-Learning Readiness in Higher Education: A Review of the Literature. Computer and Information Science. 9(1). doi:10.5539/cis.v9n1p113

Muilenburg, L. Y., & Berge, Z. L. (2005). Students Barriers to Online Learning: A factor analytic study. Distance Education, 26(1), 29–48. https://doi.org/10.1080/01587910500081269

Murillo, G. G., Novoa-Hernández, P., & Rodríguez, R. S. (2021). Technology Acceptance Model and Moodle: A systematic mapping study. Information Development, 37(4), 617–632. https://doi.org/10.1177/0266666920959367

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). https://doi.org/10.1186/s41239-016-0034-x

Ngo, D. H.(2021). Perceptions of EFL tertiary students towards the correlation between e-learning and learning engagement during the COVID-19 pandemic. International Journal of TESOL & Education, 1(3), pp. 235-259. EOI: http://eoi.citefactor.org/10.11250/ijte.01.03.013

Nguyen, H. T., & Chu, Q. P.(2021). Estimating University Students’ Acceptance of Technological Tools for Studying English through the UTAUT Model. International Journal of TESOL & Education, 1(3), pp. 209-234.EOI: http://eoi.citefactor.org/10.11250/ijte.01.03.012

Nguyen, T. T. H. (2021). Implementing digital techniques to stimulate EFL students’ engagement: A case study in Vietnam. International Journal of TESOL & Education, 1(3), pp.105-129. EOI: http://eoi.citefactor.org/10.11250/ijte.01.03.007

Nguyễn, T. N. D., & Đoàn, T. H. N. (2021). Đánh giá sự hài lòng của sinh viên về chất lượng dịch vụ đào tạo đại học bằng E-learning trong bối cảnh Covid-19 tại Trường Đại học Lạc Hồng. Tạp Chí Giáo dục, 493(1), 59–64. Retrieve from https://tcgd.tapchigiaoduc.edu.vn/index.php/tapchi/article/view/14

Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). New York: McGraw-Hill.

Peterson, R. A. (1994). A Meta-Analysis of Cronbach's Coefficient Alpha. Journal of Consumer Research, 21, 381-391.

Pham, H. H. & Ho, T. T. H (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

Tang, Y. M., Chen, P. C., Law, K., Wu, C. H., Lau, Y. Y., Guan, J., He, D., & Ho, G. (2021). Comparative analysis of Student's live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector. Computers & Education, 168, 104211. https://doi.org/10.1016/j.compedu.2021.104211

Teo, T. (2013). Online and paper-based survey data: Are they equivalent? British Journal of Educational Technology, 44(6), 196–198. https://doi.org/10.1111/bjet.12074

Yacob, A., Kadir, A. Z. A., Zainudin, O., & Zurairah, A. (2012). Student Awareness Towards E-Learning In Education. Procedia - Social and Behavioral Sciences, 67, 93–101. https://doi.org/10.1016/J.SBSPRO.2012.11.310

Zimmerman, W. A., & Kulikowich, J. M. (2016). Online learning self-efficacy in students with and without online learning experience. American Journal of Distance Education, 30(3), 180–191.

Downloads

Published

06-10-2022

Issue

Section

Research Article

How to Cite

Trinh, H. L., Pham, D. L., Phan, V. V., & Nguyen, H. T. (2022). Factors Influencing Freshmen’s Acceptance of Online Learning: A Study at Hanoi University of Industry. International Journal of TESOL & Education, 2(5), 1-13. https://doi.org/10.54855/ijte.22251

Similar Articles

21-30 of 152

You may also start an advanced similarity search for this article.