Abbad, M. M. M. (2021). Using the UTAUT model to understand students’ usage of e-learning systems in developing countries. Education and Information Technologies. https://doi.org/10.1007/s10639-021-10573-5.
Abdullah, J. E., & Ward, H. (2021). UTAUT as a model for understanding intention to adopt AI and related technologies among librarians. J Acad Librarian ;47(6): 102437.
Ajmal, M., & Ahmad, S. (2019). Exploration of Anxiety Factors Among Students of Distance Learning: A Case Study of Allama Iqbal Open University. Bulletin of Education and Research, 41(2), 67–78.
Ale, P. (2013). A Unified theory of acceptance and use of technology and perceived Risk application, International Journal of Information Management 34 1-13 2013.
Almaiah, M. A., Al-Khasawneh, A., & Althunibat, A. (2020). Exploring the critical challenges and factors infuencing the E-learning system usage during COVID-19 pandemic. Education and Information Technologies, 25, 5261–5280.
Alshammari, S. H. (2021). Determining the factors that affect the use of virtual classrooms: A modification of the UTAUT Model. Journal of Information Technology Education: Research, 20, 117-135. https://doi.org/10.28945/4709
Awwad, M. S., & A-Majali, S. M. (2015). Electronic library services acceptance and use: An empirical validation of unified theory of acceptance and use of technology", The Electronic Library, vol 33 issue:6 pp. 1100-1120.
Badiozaman, I. F. A. (2021). Exploring online readiness in the context of the COVID 19 pandemic. Teaching in Higher Education, 1–19.
https://doi.org/10.1080/13562517.2021.1943654
Bandyopadhyay, K.,& Barnes, C. (2012). An analysis of factors affecting user acceptance of ERP Systems in the United States. International Journal of Human Capital and Information Technology Professionals, 3(1), 1–14.
Chen, K. C. (2020). Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior, 26(4), 741–752.
https://doi.org/10.1016/j.chb.2020.01.011
Chen, W. S., & Yao, Y. T. (2016). An Empirical Evaluation of Critical Factors Influencing Learner Satisfaction in Online Learning: A Pilot Study, Universal Journal of Educational Research vol. 4, no. 7, pp.1667-1671.
Cheng, T.-H. (2020). How Students’ Perspectives about Online Learning Amid the COVID-19 Pandemic? Studies in Learning and Teaching, 1(3), 133–139.
https://doi.org/10.46627/silet.v1i3.46
Decman, M. (2015). Modelling the acceptance of e-learning in mandatory environments of higher education: The influence of previous education and gender. Computers in Human Behavior, 49, 272–281. https://doi.org/10.1016/j.chb.2015.03.022
Dwivedi, A. D. (2011). Factors Affecting Students’ Engagement with Online Content in Blended Learning. Kybernetes, 48(7), 1500-1515. doi:https://doi.org/10.1108/K-10-2018-0559.
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2017). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 1-16.
El-Gayar, O., & Moran, M. (2006). Students' acceptance of tablet PCs and implications for educational institutions. Educational Technology & Society, 2011. 14(2): p. 58-70.
Farahat, T. (2012). Applying the Technology Acceptance Model to Online Learning in the Egyptian Universities. Procedia-Social and Behavioural Sciences, 64, 95–104.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research. MA: Addison-Wesley. Group. https://doi.org/10.4324/9780203427354
Gunasinghe, A., Abd Hamid, J., Khatibi, A. & Azam, S. M. F. (2019). Does Anxiety Impede Vle Adoption Intentions of State University Lecturers? - A Study Based on Modified UTAUT Framework. European Journal of Social Sciences Studies. doi: 10.5281/zenodo.3358154
Hajure, M., Abdu, Z. (2020). Social phobia and its impact on quality of life among regular undergraduate students of Mettu University, Mettu, Ethiopia. Adolescent Health. Med Therapeut ;11:79.
Hanapiah, M. F. (2020). English Language and the language of development: A Malaysia Perspective. Jurnal kemanusiaan, 2(1), 106-120.
Hasan, N., & Bao, Y. (2020). Impact of “e-learning crack-up” perception on psychological distress among college students during COVID-19 pandemic: A mediating role of “fear of academic year loss.” Children and Youth Services Review, 118, 105355. https://doi.org/10.1016/j.childyouth.2020.105355
Holzweiss, P. C., Walker, D. W., Chisum, R., & Sosebee, T. (2020). Crisis planning for online students: Lessons learned from a major disruption. Online Learning, 24(2), 22-37.
Hunde, M. K., Demsash, A.W., & Walle, A.D (2023). Behavioral intention to use e-learning and its associated factors among health science students in Mettu university, southwest Ethiopia: Using modified UTAUT model. Informatics in Medicine Unlocked 36 . https://doi.org/10.1016/j.imu.2022.101154
Hussein Z. (2018). Subjective norm and perceived enjoyment among students in influencing the intention to use e-learning. Int J Civ Eng Technol ;9(13):852–8.
Hussin, S. N. A. (2020). Online Distance Learning Amidst Covid-19 Pandemic Among University Students: A Practicality of Partial Least Squares Structural Equation Modelling Approach. Asian Journal of University Education (AJUE) Volume 16, Number 3, October 2020. http://doi.org/10.24191/ajue.v16i3.978
Jairak, K., Praneetpolgrang, P., & Mekhabunchakij, K. (2009). An Acceptance of Mobile Learning for Higher Education Students in Thailand. Special Issue of the International Journal of the Computer, the Internet and Management. 17(SP3):36.1–36.8.
Kaliisa, R. (2019). Mobile learning in higher education: A comparative analysis of developed and developing country contexts. British Journal of Educational Technology, 50(2), 546–561. https://doi.org/10.1111/bjet.12583
Kast, J. (2021). Austrian teachers’ _attitudes and self-efficacy beliefs regarding at-risk students during home learning due to COVID-19. European Journal of Special Needs Education, 36(1), 114-126. https://doi.org/10.1080/08856257. 2021.1872849
Ko, S., & Rossen, S. (2017). Teaching Online: A Practical Guide (4th ed.). Taylor & Francis
Kundu, A., & Roy, D. (2013). A People – Centric approach in adoption of Innovation: A review and directions for future research. Asian Journal of Management Research , 49–58. Retrieved from http://www.ipublishing.co.in/ajmrvol1no1/sped12011/AJMRSP1006.pdf
Li C, He L, Wong IA. (2021).Determinants predicting undergraduates’ _intention to adopt e-learning for studying English in Chinese higher education context: a structural equation modeling approach. Educ Inf Technol ;26(4):4221–39.
Lwoga, E. T., & Komba, M. (2015). Antecedents of continued usage intentions of web-based learning management system in Tanzania. Education + Training, 57(7), 738-756. https://doi.org/10.1108/ET-02-2014-0014
Mahdi, M. A., & Waleed, S. D. (2019). Applying the UTAUT model to explain the students' acceptance of mobile learning system in higher education. Digital Object Identifier 10.1109/.
Mahdi, M. A., & Waleed, S. D. (2019). Applying the UTAUT model to explain the students' acceptance of mobile learning system in higher education. Digital Object Identifier 10.1109/.
Mansour, A. E., Fadda, W. A., Almisnid, K., Aldamegh, M., Al-Nafeesah, A., & Al-Wutayd, O. (2020). The sudden transition to synchronized online learning during the COVID-19 pandemic in Saudi Arabia: A qualitative study exploring medical students’ perspectives. BMC Medical Education, 20(1), 1–10.
Marc, A., & Hager, K. (2019). Adopt. ion of a Social Learning Platform in Higher Education: An Extended UTAUT Model Implementation. Proceedings of the 52nd Hawaii International Conference on System Sciences.
Marko, R., & Kristl, N. (2017). Acceptance of Technology and its Impact on Teacher’s Activities in Virtual Classroom: Integrating UTAUT and CoI into a Combined Model. TOJET: The Turkish Online Journal of Educational Technology – July 2017, volume 16 issue 3.
Michal, K. (2019). A Model of Faculty E-Learning Acceptance. 15th Annual Global Information Technology Management Association (GITMA) World Conference 2019. June 22-24, 2019. https://www.researchgate.net/publication/333532169
Miller, R. A., Howell, C.D., Oyarzun, B., & Martin, F. 2023). Faculty perspectives on inclusion, diversity, equity, and access in online teaching. Online Learning, 27(3), 387-406. DOI: 10.24059/olj.v27i3.3691
Moghavvemi, S. (2018)., Social media as a complementary learning tool for teaching and learning: The case of youtube. International Journal of Management Education, 2018. 16(1): p. 37-42.
Mokhtar, R., & Karim, M. (2021). Exploring Students Behaviour in Using Google Classroom During Covid-19 Pandemic: Unified Theory of Acceptance and Use of Technology (UTAUT). Journal of Modern Education, 3(8), 182-195.
Nandwani, S., & Khan, S. (2016). Teachers’ Intention towards the Usage of Technology: An Investigation Using UTAUT Model. Journal of Education & Social Sciences, 4(2), 95–111. https://doi.org/10.20547/jess0421604202
Nassuora, A. B. (2012). Student Acceptance of Mobile Learning for Higher Education. American Academic & Scholarly Research Journal. 4:0–5.
Ngampornchai, A., & Adams, J. (2016). Students’ acceptance and readiness for E?learning in Northeastern Thailand. Int. J. Educ. Technol. High. Educ. 2016, 13, 34.
Nugroho, R. A., Basari, A., Suryaningtyas, V. W., & Cahyono, S. P. (2020). University Students’ Perception of Online Learning in Covid-19 Pandemic: A Case Study in a Translation Course. In 2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (pp. 225-231). The Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iSemantic50169.2020.9234251
Pynoo, B. (2018). Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study. Computers in Human Behavior, 27(1), 568-575. https://doi.org/10.1016/j.chb.2010.10.005.
Rahamat, R. B., Shah, P. M., Din, R. B., & Aziz, J. B. A (2017). Students’ readiness and perceptions towards using mobile technologies for learning the English language literature component. The English Teacher. XL: 69-84.
Rahman, B. A. (2020). Determinants of UTAUT in Measuring User Acceptance of E-Syariah Portal in Syariah Courts in Malaysia. Paper presented at the The 2nd International Research Symposium in Service Management Yogyakarta, Indonesia.
Raju, N. V., & Harinarayana, N. S. (2019). Online Survey Tools : A Case Study of Google Forms.
Samat. M. F. (2020). Online Distance Learning Amidst Covid-19 Pandemic Among University Students: A Practicality of Partial Least Squares Structural Equation Modelling Approach. Asian Journal of University Education (AJUE) Volume 16, Number 3, October 2020.
Samir, T. (2017). Students Attitude Towards E-Learning. International Journal of Advance Engineering and Research Development Volume 4, Issue 11, November -2017.
Saxena, K. (2020). Coronavirus accelerates pace of digital education in India.
Shaalan, K. (2019). Factors Affecting Students’ Acceptance of E-Learning System in Higher Education Using UTAUT and Structural Equation Modelling Approaches. (Eds.): AISI 2018, AISC 845, pp. 469–480, 2019. https://doi.org/10.1007/978-3-319-99010-1_43
Singh, L., & Thomas, T. D. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana Article · International Journal of Education and Development using Information and Communication Technology (IJEDICT), 2014, Vol. 9, Issue 3, pp. 71-85.
Sumak, B. (2017). An empirical study of virtual learning environment adoption using UTAUT, IEEE, 2016, pp.17-22.
Sumak, B., & Sorgo, A. (2016). The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre-and post-adopters. Computers in Human Behavior, vol. 64, pp. 602-620.
Timmy, H., & Hew, M. L. (2019): Investigating teachers’ adoption of MOOCs: the perspective of UTAUT2, Interactive Learning Environments, DOI: 10.1080/10494820.2019.1674888
Tosuntas, S. B. (2015). The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the unified theory of acceptance and use of technology. Computers & Education, vol. 81, pp. 169-178.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, pp. 425-478.
Yakubu, M. N., & Dasuki, S. (2018). Factors Affecting the Adoption of E-Learning Technologies Among Higher Education Students in Nigeria: A structural Equation Modelling Approach. Information Development.
Yuantong, Li. (2023). The Possible Impacts of Online Learning on Future Education. Journal of Education, Humanities and Social Sciences, Volume 11. 51-57.
Zhou, B. (2020). Integrating TTF and UTAUT to explain mobile learning user adoption. Computers in Human Behaviour, 26(4), 760-767.
