FACTORS OF ACCEPTANCE AND USE OF URGENT ONLINE LEARNING DURING THE COVID-19 PANDEMIC AMONG THIRD- YEAR STUDENTS TAKING AN ENGLISH COURSE AT THE UNIVERSITY OF DANANG, VIETNAM
DOI:
https://doi.org/10.51200/ijelp.v4i.3425Keywords:
covid-19, urgent online learning, acceptance, attitude, motivation, self-efficacy, cognitive engagementAbstract
The outbreak of the COVID-19 pandemic has been affecting every field all over the world, especially education. One of the most obvious changes in education is the transition from on-campus learning to online learning. However, this process requires careful preparation for learners' perception. This study, therefore, aims to investigate the perception of acceptance and use of urgent online learning during the COVID-19 pandemic among Third-year students of the Faculty of English, University of Foreign Language Studies, The University of Da Nang (UFLs, UD). With the main survey method by questionnaires, the study found that attitude, motivation, self-efficacy, and use of technology play an important role in cognitive engagement and student learning outcomes. Based on the aforementioned findings, this paper produces some recommendations for educators and students to improve students' perception of online teaching and learning.
References
Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model
for E-Learning (GETAMEL) by analysing commonly used external factors. 56, 238-256.
DOI:10.1016/j.chb.2015.11.036.
Albelbisi, N., & Yusop, F. (2019). Factors influencing learners’ self –regulated learning skills in a
massive open online course (MOOC) environment. Turkish Online Journal of Distance
Education, 20, 1–16. 10.17718/tojde.598191.
Alghamdi, A., Karpinski, A. C., Lepp, A., & Barkley, J. (2020). Online and face-to-face classroom
multitasking and academic performance: Moderated mediation with self- efficacy for
self-regulated learning and gender. Computers in Human Behavior, 102, 214–222.
Andreas, S. (2020). The Impact of COVID-19 on Education – Insights from Education at a
Glance 2020.
Andrew K., Edward J. P., and Peter S. (2019). A taxonomy of factors affecting attitudes towards
educational technologies for use with technology acceptance model, British Journal of
Educational Technology. DOI:10.1111/bjet.12833
Bali, S., & Liu, M. C. (2018). Students’ perceptions toward online learning and face-to-face
learning courses. Journal of Physics: Conference Series, 1108, 12094.10.1088/1742-
/1108/1/012094.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological
Inquiry, 84(2), 191–215. https://doi.org/10.1037//0033-295X.84.2.191
Bower, M. (2019). Technology‐mediated learning theory. British Journal Education Technology,
, 1035–1048. 10.1111/bjet.12771.
Chau, P. Y. K. (2001). Influence of computer attitude and self-efficacy on IT usage behavior.
Journal of End User Computing, 13(1), 26–33.
https://doi.org/10.4018/joeuc.2001010103
Cheng, Y. M. (2011). Antecedents and consequences of e-learning acceptance. Information
Systems Journal, 21(3), 269–299. https://doi.org/10.1111/j.1365-2575.2010.00356.x
Daniel, S. J. (2020). Education and the COVID-19 pandemic. Prospects, 1–6. Springers.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to
use com- puters in the workplace. Journal of Applied Social Psychology, 22(14),
–1132. https://doi. org/10.1111/j.1559-1816.1992.tb00945.x
Elizabeth, A. M., Kim, R. W., Barbara, Y. & Shannon, S. B. (2020). COVID-19 and Distance
Learning: Effects on Georgia State University School of Public Health Students.
Fishbein, M. A., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to
theory and research.
Gina, I. B., Valentin, N., Alexandru, A. & Geanina, B. (2021). The Effectiveness of Online
Education during Covid 19 Pandemic – A Comparative Analysis between the Perceptions
of Academic Students and High School Students from Romania.
Heckel, C., & Ringeisen, T. (2019). Pride and anxiety in online learning environments:
Achievement emotions as mediators between learners’ characteristics and learning
outcomes. Journal of Computer Assisted Learning, 35, 667–677. 10.1111/jcal.12367.
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between
emergency remote teaching and online learning. EDUCAUSE Review.
Huang, H. M., & Liaw, S. S. (2018). An analysis of learners’ intentions toward virtual reality
learning based on constructivist and technology acceptance approaches. International
Review of Research in Open and Distance Learning, 19(1), 91–115.
https://doi.org/10.19173/irrodl.v19i1.2503
ILO (International Labour Office). 2020. Skills development in the time of COVID-19: Taking
stock of the initial responses in technical and vocational education and training.
John, D. (2020). Coronavirus (COVID-19) and Online Learning in Higher Institutions of
Education: A Survey of Perceptions of Ghanaian International Students in China. Online
Journal of Communication and Media Technologies, 10 (3), e202018.
Kemp, A., Palmer, E., & Strelan, P. (2019). A taxonomy of factors affecting attitudes towards
educational technologies for use with technology acceptance models. British Journal
Education Technology, 50, 2394–2413. 10.1111/bjet.12833.
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