Factors Affecting Secondary School Teachers' Intention to Use Education 4.0 in UAE: A UTAUT Analysis
Abstract
The development of education 4.0, driven by information technology, is a crucial aspect of secondary school education in today's fast-paced world. However, limited empirical research exists on how UAE institutions engage with education 4.0, and little attention has been paid to the factors influencing the actual use of technology in this context. Previous studies have tended to focus predominantly on e-learning, students, and universities, rather than on factors driving the intention to use education 4.0. While previous research has identified various important factors affecting users' intention to use technology in developed countries, the factors may differ in the context of developing countries like the UAE. The factors include performance expectancy, effort expectancy, social influence, and facilitating conditions, which were identified through the Unified Theory of Acceptance and Use of Technology (UTAUT) model. To address this literature gap, this study seeks to investigate the factors influencing UAE secondary school teachers' intention to use education 4.0 building on already established antecedents and factors.
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References
Abdullah, F., & Ward, R. (2016). Developing a framework for Industry 4.0 implementation in education. In Proceedings of the 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (pp. 265-270). IEEE.
Ali, N. N., Hussin, N., & Yaacob, N. A. (2018). An integrative review of technology acceptance model: Towards the new model for the adoption of technology. International Journal of Education and Information Technologies, 12(1), 1-18.
Almeida, F., & Simoes, D. (2019). The educational paradigms and their evolution throughout history. Education Sciences, 9(1), 33. doi: 10.3390/educsci9010033
Almulla, A. M. (2022). Investigating the factors that affect e-learning adoption in Kuwait: An extension of the unified theory of acceptance and use of technology (UTAUT) model. Education and Information Technologies, 27(1), 715-732.
Alqurashi, E. (2019). Challenges and opportunities of e-learning in the United Arab Emirates: A review. Journal of Educational Technology Development and Exchange, 12(1), 1-17.
Al-Shamsi, A. M. (2017). Smart learning initiative in the UAE: A transformative vision for higher education. Smart Learning Environments, 4(1), 1-13.
Al-Tamimi, N. A., & Al-Sharafi, M. A. (2013). Factors affecting e-learning success in higher education: A systematic review. Journal of Educational Technology Development and Exchange, 6(1), 1-14.
Alzahrani, A. I., & Alshumaimeri, Y. A. (2021). Investigating the determinants of e-learning acceptance among university students in Saudi Arabia: An extended TAM model. Education and Information Technologies, 26(2), 1507-1527.
Batucan, H., Yasak, Y., & Erturk, M. (2022). Understanding the intention to use social media platforms: A study based on UTAUT2. Journal of Promotion Management, 28(2), 214-235.
Buraimoh, B. O., Abereijo, I. O., & Olojede, O. C. (2020). User acceptance of e-government services: An empirical study of the unified theory of acceptance and use of technology (UTAUT) in Nigeria. Electronic Journal of Information Systems Evaluation, 23(1), 1-14.
Faraliza, A. F., Ismail, Z., Ibrahim, Z., & Yusoff, M. Z. (2014). A review of unified theory of acceptance and use of technology (UTAUT). Journal of Advanced Management Science, 2(2), 129-136.
Fjortoft, N. (2019). The effect of e-learning on student learning: A study of the United Arab Emirates. International Journal of Emerging Technologies in Learning (iJET), 14(4), 107-123.
Funmilola, O. J., James, O. O., Gbenga, O. F., & Adesina, M. A. (2020). Investigating the factors influencing the acceptance and use of mobile learning by university students in Nigeria. Education and Information Technologies, 25(3), 1907-1930. doi: 10.1007/s10639-019-10020-x
Himmetoglu, M. B. (2020). Education 4.0: New challenges and opportunities in a changing world. Journal of Educational Sciences Research, 10(2), 230-242.
Huang, R., Liang, X., Li, L., Huang, J., & Xiang, X. (2021). Research on the application of education 4.0 in the construction of smart campus. In Proceedings of the 2021 International Conference on Intelligent Education and Teaching (ICIET 2021) (pp. 344-352). Atlantis Press.
Huk, T. (2021). Education 3.0: What comes after the web and how does it shape learning? In Handbook of Research on Emerging Practices and Methods for K-12 Online and Blended Learning. IGI Global.
Hussin, M. Y. M. (2018). An analysis of the evolution of education: From education 1.0 to education 4.0. International Journal of Academic Research in Business and Social Sciences, 8(2), 123-133.
Masmali, A., & Alghamdi, R. (2021). Technology acceptance and adoption: An integrated model based on UTAUT and expectation confirmation theory. International Journal of Emerging Technologies in Learning, 16(3), 180-198.
Ministry of Education. (2017). UAE Vision 2021. MOE. Retrieved from https://www.moe.gov.ae/En/AboutTheMinistry/Pages/UAE-Vision-2021.aspx
Ramírez-Montoya, M. S., Aguilar-Delgado, M., & Andrade-Torres, A. (2022). Education 4.0 as a new challenge for teacher training programs. Sustainability, 14(4), 1484. doi: 10.3390/su14041484
Ridge, N., & Erfurth, M. (2020). COVID-19 and the rush to online education: What have we learned so far? Journal of Information Technology Education: Research, 19, 624-648. doi: 10.28945/4589
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
World Education Network. (2022). Education in UAE. World Education Network. https://www.worldeducation.net/study-abroad/uae/education-system-in-uae/
Wut, T. M., Ho, C. H., & Chu, W. T. (2022). University students' intention to use online education: A modified UTAUT model. Education and Information Technologies, 27(1), 345-362.
Yang, X., Feng, X., & Wu, H. (2022). Understanding factors affecting blended learning acceptance of K-12 teachers: A UTAUT-based empirical study. Educational Technology & Society, 25(1), 90-103.
Yeboah, J., & Nyagorme, V. (2022). Assessing students' intention to use online learning management system in higher education: An application of the unified theory of acceptance and use of technology model. Education and Information Technologies, 27(1), 1175-1193
Zheng, Q., Biswas, G., & Kinshuk. (2021). A systematic review of education 4.0 research: Trends, gaps and future directions. Education and Information Technologies, 26(2), 2185-2222.
