Academicans’ Perceptions Towards Online Teaching Tools Within the Context of the Unied Theory of Acceptance and Use of Technology-2 (UTAUT-2)
Keywords:UTATUT-2, Online Tools and Platforms, academician, Educational sciences
The research aims to disclose academicians' perceptions of “OTT” (OTT) within the UTAUT-2. In the study, a qualitative research method was implemented. The case study pattern has also been used for the study. The study group of the research was determined through maximum variation sampling from purposive sampling methods. Twenty-six academicians working at the faculties of education of two universities in the Western Black Sea Region of Turkey constitute the study group of the study. A semi-structured interview form was employed as a data collection tool. The data were analyzed inductively. MAXQDA 20 program was implemented in data analysis. In terms of performance expectancy, OTT can be integrated into teaching methods and techniques. In terms of effort expectancy, it has also been found that the use of OTT is mostly straightforward, and the fact that it is time-consuming, and challenging does not mean negative and technical problems might occur. Regarding social influence, academicians receive support and advice on using OTT. In terms of facilitating conditions, most academicians perceive themselves as sufficient. In terms of hedonic motivation, academicians are of the opinion that that OTT become enjoyable, primarily if it is used via student participation. It is shown that the difference in the exchange rate within Turkey increases fees as a price value. In further studies, it is possible to refer to the opinions of academicians from various fields based on the relevant theory via the following qualitative and quantitative methods.
Ain, N., Kaur, K., & Waheed, M. (2016). The influence of learning value on learning management system use: An extension of UTAUT2. Information Development, 32(5), 1306-1321.
Ally, M. (2004). Foundations of educational theory for online learning. Theory and practice of online learning, 2, 15-44.
Al-zboon, H. S., Gasaymeh, A. M., & Al-Rsa'i, M. S. (2021). The attitudes of science and mathematics teachers toward the ıntegration of ınformation and communication technology (ICT) in their educational practice: The application of the unified theory of acceptance and use of technology (UTAUT). World Journal of Education, 11(1), 75-85.
Alghatrifi, I., & Khalid, H. (2019). A systematic review of UTAUT and UTAUT2 as a baseline framework of information system research in adopting new technology: a case study of IPV6 adoption. 6th International Conference on Research and Innovation in Information Systems (ICRIIS) (pp. 1-6). IEEE.
Altalhi, M. (2021). Toward a model for acceptance of MOOCs in higher education: the modified UTAUT model for Saudi Arabia. Education and Information Technologies, 26(2), 1589-1605.
Amid, A., & Din, R. (2021). Acceptance and use of massive open online courses: extending UTAUT2 with personal innovativeness. Journal of Personalized Learning, 4(1), 57-66.
Anderson, J. E., Schwager, P. H., & Kerns, R. L. (2006). The drivers for acceptance of tablet PCs by faculty in a college of business. Journal of Information Systems Education, 17(4), 429.
Arain, A. A., Hussain, Z., Rizvi, W. H., & Vighio, M. S. (2019). Extending UTAUT2 toward acceptance of mobile learning in the context of higher education. Universal Access in the Information Society, 18(3), 659-673.
Baltacı, A. (2019). Nitel araştırma süreci: Nitel bir araştırma nasıl yapılır? Ahi Evran Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 5(2), 368-388.
Bell, B. S. & Federman, J. E. (2013). E-Learning in postsecondary education. The Future of Children, 23(1), 165-185. doi: 10.1353/foc.2013.0007
Bervell, B. B., Kumar, J. A., Arkorful, V., Agyapong, E. M., & Osman, S. (2022). Remodelling the role of facilitating conditions for Google Classroom acceptance: A revision of UTAUT2. Australasian Journal of Educational Technology, 38(1), 115-135.
Bharati, V. J., & Srikanth, R. (2018). Modified UTAUT2 model for m-learning among students in India. International Journal of Learning and Change, 10(1), 5-20.
Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS quarterly, 399-426.
Cappel, J. J., & Hayen, R. L. (2004). Evaluating e-learning: A case study. Journal of Computer Information Systems, 44(4), 49-56.
Chang, A. (2012). UTAUT and UTAUT 2: A review and agenda for future research. The Winners, 13(2), 10-114.
Demirören, S. (2014). Başarım ölçütlü uyarlanabilir öğrenmenin etkililiğinin ve verimliliğinin değerlendirilmesi. Eğitim Bilimleri ve Uygulama, 13 (25), 47-6.
El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the unified theory of acceptance and use of technology 2 (UTAUT2). Educational Technology Research and Development, 65(3), 743-763.
Faqih, K. M., & Jaradat, M. I. R. M. (2021). Integrating TTF and UTAUT2 theories to investigate the adoption of augmented reality technology in education: Perspective from a developing country. Technology in Society, 67, 101787.
Gharrah, A.S.A., & Aljaafreh, A. (2021). Why students use social networks for education: Extension of UTAUT2. Journal of Technology and Science Education, 11(1), 53-66.
Goto, J., & Munyai, A. (2022). The acceptance and use of online learning by law students in a South African University: An application of the UTAUT2 Model. The African Journal of Information Systems, 14(1), 3.
Grimes, G. T & Whitmyer, C. (2009). E-education: What is it? FutureU Press. Retrieved August 25, 2022, from https://www.researchgate.net/publication/269699938_e-Education_What_is_it
Gunasinghe, A., Abd Hamid, J., Khatibi, A., & Azam, S. F. (2019). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86-106.
Gunawan, A., Muchardie, B. G., & Liawinardi, K. (2019, August). Millennial Behavioral Intention To Adopt E- Book Using Utaut2 Model. International Conference on Information Management and Technology (ICIMTech) (Vol. 1, pp. 98-102). IEEE.
Günlük, M. & Özcan, M. (2022). Muhasebe akademisyenlerinin çevrim içi eğitim yeterliliklerinin uzaktan eğitimin etkinliği üzerindeki etkisi. Dijital çağda muhasebe eğitiminden beklentiler Genişletilmiş özet bildiriler kitabı. 40. Türkiye Muhasebe Eğitimi Sempozyumu. Atlas Akademik Basım Yayın Dağıtım.
Günaydın, S. & Kurt, A. A. (2021). Dijital etkileşimli materyallerin öğrenme ortamında kullanımı. N. Dönmez Usta, E. Turan Güntepe ve Ü. G. Durukan (Ed.). Dijital etkileşimli öğrenme materyalleri. Nobel Yayıncılık.
Harasim, L. (1996). Online education. Computer networking and scholarly communication in the twenty-first-century university, 203-214.
Hassanzadeh, A., Kanaani, F., & Elahi, S. (2012). A model for measuring e-learning systems success in universities. Expert systems with Applications, 39(12), 10959-10966.
Indeed Editorial Team. (2022). What are online learning tools? Retrieved June 20, 2022, from https://au.indeed.com/career-advice/career-development/online-learning-tools
Jakkaew, P., & Hemrungrote, S. (2017). The use of UTAUT2 model for understandingstudent perceptions using Google classroom: A case study of introduction to information technology course. International conference on digital arts, media and technology (ICDAMT) (pp. 205-209). IEEE.
Kim, Y. (2004). Online education tools. Public Performance & Management Review, 28(2), 275-280.
Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management science, 51(5), 741-755.
Kosiba, J. P. B., Odoom, R., Boateng, H., Twum, K. K., & Abdul-Hamid, I. K. (2022). Examining students’ satisfaction with online learning during the Covid-19 pandemic-an extended UTAUT2 approach. Journal of Further and Higher Education, 1-18.
Kurnia, D. (2020). Penerimaan dan penggunaan e-learning pada masa pandemi Covid-19: Aplikasi model UTAUT2. Jurnal Kajian Teknologi Pendidikan, 3(4), 435-47.
Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel psychology, 28(4), 563-575.
Limayem, M., & Hirt, S. G. (2003). Force of habit and information systems usage: Theory and initial validation. Journal of the Association for information Systems, 4(1), 3.
Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS quarterly, 705-737.
Mahande, R. D., & Malago, J. D. (2019). An e-learning acceptance evaluation through UTAUT Model in a postgraduate program. Journal of educators online, 16(2), n2.
Mayadas, A. F., Bourne, J., & Bacsich, P. (2009). Online education today. Science, 323(5910), 85-89.
Meet, R. K., Kala, D., & Al-Adwan, A. S. (2022). Exploring factors affecting the adoption of MOOC in generation Z using extended UTAUT2 model. Education and Information Technologies, 1-23.
Merriam, S. B. (2009). Qualitative research: A guide to design and implementation. JOSSEY-BASS.
Neufeld, D. J., Dong, L., & Higgins, C. (2007). Charismatic leadership and user acceptance of information technology. European Journal of Information Systems, 16(4), 494-510.
Nichols, M. (2003). A theory for eLearning. Journal of Educational Technology & Society, 6(2), 1-10.
Nizarı, N. N. M., Rahmat, M. K., Maaruf, S. Z., & Damio, S. M. (2019). Examining the use behaviour of augmented reality technology through MARLCardio: Adapting the UTAUT model. Asian Journal of University Education, 15(3), 198-210.
Nikolopoulou, K., Gialamas, V., & Lavidas, K. (2020). Acceptance of mobile phone by university students for their studies: An investigation applying UTAUT2 model. Education and Information Technologies, 25(5), 4139-4155.
Odewumi, M. O., Yusuf, M. O., & Oputa, G. O. (2018). UTAUT Model: Intention to use social media for learning ınteractive effect of postgraduate gender in South-West Nigeria. International Journal of Education and Development using Information and Communication Technology, 14(3), 239-251.
Osei, H. V., Kwateng, K. O., & Boateng, K. A. (2022). Integration of personality trait, motivation and UTAUT 2 to understand e-learning adoption in the era of COVID-19 pandemic. Education and Information Technologies, 1-26.
Pinho, C., Franco, M., & Mendes, L. (2021). Application of innovation diffusion theory to the E-learning process: higher education context. Education and Information Technologies, 26(1), 421-440.
Prasetyo, Y. T., Ong, A. K. S., Concepcion, G. K. F., Navata, F. M. B., Robles, R. A. V., Tomagos, I. J. T., ... & Redi, A. A. N. P. (2021). Determining factors Affecting acceptance of e-learning platforms during the COVID-19 pandemic: Integrating extended technology acceptance model and DeLone & Mclean is success model. Sustainability, 13(15), 8365.
Radovan, M., & Kristl, N. (2017). Acceptance of technology and ıts ımpact on teachers' activities in virtual classroom: Integrating UTAUT and CoI into a combined model. Turkish Online Journal of Educational Technology-TOJET, 16(3), 11-22.
Raman, A., & Don, Y. (2013). Preservice teachers' acceptance of learning management software: An application of the UTAUT2 model. International Education Studies, 6(7), 157-164.
Raman, A., & Thannimalai, R. (2021). Factors impacting the behavioural intention to use e-learning at higher education amid the covid-19 pandemic: UTAUT2 model. Psychological Science and Education, 26(3), 82-93.
Rudhumbu, N. (2022). Applying the UTAUT2 to predict the acceptance of blended learning by university students. Asian Association of Open Universities Journal, (ahead-of-print).
Salehi, Mohammad, B., Vaez-Dalili, M., & Heidari Tabrizi, H. (2021). Investigating factors that influence EFL teachers' adoption of Web 2.0 technologies: Evidence from applying the UTAUT and TPACK. TESL-EJ, 25(1), n1.
Şahin Durmaz, P. & Kunt, N. (2022). Making wonders with burned fingers: The experiences of ELT teachers during the online education process. Journal of Educational Technology & Online Learning, 5(1), 144-168.
Sun, Y., Qiao, Z., Chen, D., Xin, C., & Jiao, W. (2016). An approach to using existing online education tools to support practical education on MOOCs. IEEE 40th Annual Computer Software and Applications Conference (COMPSAC) (Vol. 1, pp. 696-705). IEEE.
Sun, A. & Chen, X. (2016). Online education and its effective practice: A research review. Journal of Information Technology Education: Research, 15, 157-190.
Swanson, E. B. (1974). Management information systems: appreciation and, involvement. Management science, 21(2), 178-188.
Thomas, T., Singh, L., & Renville, D. (2020). The utility of the UTAUT: An application to mobile learning adoption in the Caribbean. International Journal of Education and Development using Information and Communication Technology, 16(2), 122-143
Tracy, S. J. (2013). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact. John Wiley & Sons.
Tseng, T. H., Lin, S., Wang, Y. S., & Liu, H. X. (2022). Investigating teachers’ adoption of MOOCs: the perspective of UTAUT2. Interactive Learning Environments, 30(4), 635-650.
Türnüklü, A. (2000). Eğitimbilim araştırmalarında etkin olarak kullanılabilecek nitel bir araştırma tekniği: Görüşme. Kuram ve Uygulamada Eğitim Yönetimi, 24(24), 543-559.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
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, 157-178.
Volery, T. (2001). Online education: An exploratory study into success factors. Journal of educational computing research, 24(1), 77-92.
Whedlock, B. C., & Trahan, M. P. (2019). Revisiting the unified theory of acceptance and the use of technology (UTAUT) model and scale: An Empirical Evolution of Educational Technology. Research Issues in Contemporary Education, 4(1), 6-20.
Wijaya, T. T., & Weinhandl, R. (2022). Factors influencing students’ continuous intentions for using micro-lectures in the post-COVID-19 period: a modification of the UTAUT-2 approach. Electronics, 11(13), 1924.
Yıldırım, A., & Şimşek, H. (2021). Nitel araştırma yöntemleri. Ankara: Seçkin Yayınevi.
Yıldız Durak, H. (2019). Examining the acceptance and use of online social networks by preservice teachers within the context of unified theory of acceptance and use of technology model. Journal of Computing in Higher Education, 31(1), 173-209.
Yurdugül, H. (2005). Ölçek geliştirme çalışmalarında kapsam geçerliği için kapsam geçerlik indekslerinin kullanılması. XIV. Ulusal Eğitim Bilimleri Kongresi, 1, 771-774.
Zacharis, G., & Nikolopoulou, K. (2022). Factors predicting University students’ behavioral intention to use eLearning platforms in the post-pandemic normal: An UTAUT2 approach with ‘Learning Value’. Education and Information Technologies, 1-18.
Zhang, Q., Lu, J. & Zhang, G. (2020). Recommender systems in e-learning. Journal of Smart Environments and Green Computing, 1, 79-89.
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