The purpose of this study is to investigate the level of technology adoption and the factors influencing Malay language teachers' intention to use technology in Malaysia after COVID-19. The quantitative cross-sectional survey design was employed to perform this research. This study included 361 Malay language teachers from Malaysia who were recruited using convenience sampling. They answered an online questionnaire. The collected data was analysed using descriptive statistics, Pearson correlation, and multiple regression analysis. The study's findings show that Malay language teachers in Malaysia have a high level of technological adoption in the post-COVID-19 period. Three of the four null hypotheses in this study were rejected, showing that three factors are significantly associated to Malay language instructors' intention to use technology in Malaysia: performance expectancy, effort expectancy, and social influence. The most important element influencing their decision to embrace technology following the COVID-19 epidemic is effort expectancy. This study is aimed to offer insight on current trends in Malaysian Malay language instructors' plans for using technology in Malay language education in the post-COVID-19 era.
Aina, J. K., & Opeyemi, A. A. (2020). Mitigating the impact of COVID-19 on the teaching and learning of Science in the Nigerian higher education. Int. J. Res. Sci. Innov. Soc. Sci. 4, 334–337.
Al-Anezi, Y. H., & Alajmi, S. M. (2021). Factors that influence English chers’ acceptance and use of e-learning technologies. Int. Educ. Stud. 14, 15–27. doi: 10.5539/ies.v14n9p15
Al-zboon, H. S., Gasaymeh, A. M., & Al-Rsa’i. (2021). The attitudes of science and mathematics teachers toward the integration of information and communication technology (ICT) in their educational practice: the application of the unified theory of acceptance and use of technology (UTAUT). World J. Educ. 11, 75–85. doi: 10.5430/wje.v11n1p75
Andrade, C. (2020). The inconvenient truth about convenience and purposive samples. Indian J. Psychol. Med. 43, 86–88. doi: 10.1177/0253717620977000
Asghar, M. Z., Barberà, E., & Younas, I. (2021). Mobile learning technology readiness and acceptance among pre-service teachers in Pakistan during the COVID19 pandemic. Knowled. Manag. E-Learn. 13, 83–101. doi: 10.34105/j.kmel.202
Awa, H., & Ukoha, K. (2020). Studying enterprise systems’ acceptance using integrated unified theory of acceptance and use of technology (UTAUT). J. Sustain. Sci. Manag. 15, 98–126. doi: 10.46754/jssm.2020.07.010
Bajaj, P., Khan, A., Tabash, M. I., & Anagreh, S. (2021). Teachers’ intention to continue the use of online teaching tools post Covid-19. Cogent Educ. 8, 1. doi: 10.1080/2331186X.2021.2002130
Best, J. W., & Kahn, J. V. (2006). Research in Education. 10th edn. Boston: Pearson Education, Inc
Farooq, M. S., Salam, M., Jaafar, N., Fayolle, A., Ayupp, K., Radovic-Markovic, M., & Sajid, A. (2017). Acceptance and use of lecture capture system (LCS) in executive business studies: Extending UTAUT2. Interact. Technol. Smart Educ. 14, 329–348. doi: 10.1108/ITSE-06-2016-0015
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. https://er.educause.edu/articles/ 2020/3/the-difference-between-emergency-remote-teaching-and-online-learning [13 April 2022].
Kim, J., & Lee, K. S.-S. (2022). Conceptual model to predict Filipino teachers’ adoption of ICT-based instruction in class: using the UTAUT model. Asia Pacific J. Educ. 42, 699–713. doi: 10.1080/02188791.2020.1776213
Li, B. (2022). Ready for online? exploring EFL teachers’ ICT acceptance and ICT literacy during COVID-19 in Mainland China. J. Educ. Comput. 60, 196–219. doi: 10.1177/07356331211028934
Menon, S. (2020). Education ministry launches Delima online learning platform. The Star. https://www.thestar.com.my/news/nation/2020/06/16/education-ministrylaunches-delima-online-learning-platform [12 April 2022].
Ministry of Education Malaysia (MoE). (2013). Malaysia Education Blueprint 20132025 (Preschool to Post-Secondary Education). Putrajaya: MoE.
Ministry of Education Malaysia (MoE). (2020a). Garis Panduan Pelaksanaan Pengajaran dan Pembelajaran (PdP) Semasa Perintah Kawalan Pergerakan. Putrajaya: MoE.
Mohammad-Salehi, B., Vaez-Dalili, M., & Tabrizi, H. H. (2021). Investigating factors that influence EFL teachers’ adoption of Web 2.0 technologies: evidence from applying the UTAUT and TPACK. Elect. J. Eng. Second Lang. 25, 1–21.
Orcan, F. (2020). Parametric or non-parametric: skewness to test normality for mean comparison. Int. J. Assess. Tool. Educ. 7, 255–265. doi: 10.21449/ijate.65 6077
Ramllah & Nurkhin, A. (2020). Analysis of factors affecting behavioral intention to use e-learning uses the unified theory of acceptance and use of technology approach. KnE Soc. Sci. 4, 1005–1025. doi: 10.18502/kss.v4i6.6658
Sekaran, U. & Bougie, J. R. G. (2017). Research Methods for Business: A SkillBuilding Approach. 7th edn. Chichester: Wiley.
Sharma, S. & Saini, J. R. (2022). On the role of teachers’ acceptance, continuance intention and self-efficacy in the use of digital technologies in teaching practices. J. Furth. High. Educ. 46, 721–736. doi: 10.1080/0309877X.2021.199 8395
Sung, A., Leong, K., & Cunningham, S. (2020). “Emerging technologies in education for sustainable development,” in Partnerships for the Goals. Encyclopedia of the UN Sustainable Development Goals, eds F. W. Leal, A. Azul, L. Brandli, P. Özuyar, and T. Wall (Cham: Springer), 1–13.
Taherdoost, H. (2019). What is the best response scale for survey and questionnaire design; review of different lengths of rating scale / attitude scale / likert scale. Int. J. Acad. Res. Manag. 8, 1–10.
Thompson, R., Higgins, C. & Howell, J. (1991). Personal computing: toward a conceptual model of utilization. MIS Quarterl. 15, 124–143. doi: 10.2307/24 9443
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterl. 27, 425–478. doi: 10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterl. 36, 157–178. doi: 10.2307/41410412
Wah, L. L., & Hashim, H. (2021). Determining pre-service teachers’ intention of using technology for teaching English as a second language (ESL). Sustainability. 13, 7568. doi: 10.3390/su13147568
Wen, K. Y. K., & Tan, K. H. (2020). ESL teachers’ intention in adopting online educational technologies during COVID-19 pandemic. J. Educ. e-Learn. Res. 7, 387–394. doi: 10.20448/journal.509.2020.74.387.394
Ye, J. H., Lee, Y.-S., Wang, C.-L., Nong, W., Ye, J.-N., & Sun, Y. (2023). The continuous use intention for the online learning of Chinese vocational students in the post-epidemic era: the extended technology acceptance model and expectation confirmation theory. Sustainability. 15, 1819. doi: 10.3390/su15031819
(Yang & Shaid, 2024)
Yang, K. Y., & Shaid, N. A. N. (2024). Factors Influencing the Intention of Malaysian Malay Language Teachers to Employ Technology in The Post-Covid-19 Era. International Journal of Academic Research in Business and Social Sciences, 14(7), 1096–1106.
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