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Articles

Perception of using e-learning platforms in the scope of the technology acceptance model (TAM): a scale development study

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Pages 5395-5419 | Received 07 May 2021, Accepted 06 Nov 2021, Published online: 19 Dec 2021

References

  • Açıkgül, K., & Şad, S. N. (2020). Mobile technology acceptance scale for learning mathematics: Development, validity, and reliability studies. International Review of Research in Open and Distributed Learning, 21(4), 161–180. https://doi.org/10.19173/irrodl.v21i4.4834
  • Acquatella, F., Fernandez, V., & Houy, T. (2019). The Coursera case as the prefiguration of the ongoing changes on the MOOC platforms. In J.-E. Pelet (Ed.), Advanced Web applications and progressing E-learning 2.0 technologies in higher education (pp. 20–34). IGI Global.
  • Afridi, W. A. K., & Hashim, H. (2020). The Critical Success Factors of Professional Networking Sites ‘Adoption by University Students. Test Engineering and Management, January-February, 653-673.
  • Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control (pp. 11–39). Springer.
  • Akyol, Z., & Garrison, D. R. (2008). The development of a community of inquiry over time in an online course: Understanding the progression and integration of social, cognitive and teaching presence. Journal of Asynchronous Learning Networks, 12(3-4), 3–22. https://files.eric.ed.gov/fulltext/EJ837483.pdf
  • Al-Ammary, J. H., Al-Sherooqi, A. K., & Al-Sherooqi, H. K. (2014). The acceptance of social networking as a learning tools at university of Bahrain. International Journal of Information and Education Technology, 4(2), 208. https://doi.org/10.7763/IJIET.2014.V4.400
  • Al-Azawei, A., & Lundqvist, K. (2015). Learner Differences in perceived satisfaction of an online learning: An extension to the technology acceptance model in an arabic sample. Electronic Journal of e-Learning, 13(5), 408–426. https://academic-publishing.org/index.php/ejel/article/view/1942
  • Ali, M., Raza, S. A., Qazi, W., & Puah, C.-H. (2018). Assessing e-learning system in higher education institutes: Evidence from structural equation modelling. Interactive Technology and Smart Education.
  • Allan, B. (2007). Blended learning: Tools for teaching and training. Facet Publishing.
  • Al-Said, K. M. (2015). Students’ Perceptions of edmodo and mobile learning and their real barriers towards them. Turkish Online Journal of Educational Technology-TOJET, 14(2), 167–180. https://files.eric.ed.gov/fulltext/EJ1057371.pdf
  • Anni, C. T. (2018). School counselors’ intention to use technology: The technology acceptance model. Turkish Online Journal of Educational Technology-TOJET, 17(2), 120–124. https://files.eric.ed.gov/fulltext/EJ1176168.pdf
  • Arias, A. V., Naffah, S. C., Bermudez Hernández, J., & Bedoya Pérez, L. M. (2015). Individual factors that encourage the Use of virtual platforms of administrative Sciences students: A case study. Turkish Online Journal of Educational Technology-TOJET, 14(3), 81–87. https://files.eric.ed.gov/fulltext/EJ1067715.pdf
  • Arora, A. K., & Srinivasan, R. (2020). Impact of pandemic COVID-19 on the teaching–learning process: A study of higher education teachers. Prabandhan: Indian Journal of Management, 13(4), 43–56. https://doi.org/10.17010/pijom/2020/v13i4/151825
  • Artuso, A. R., & Graf, S. T. (2019). Digital learning platforms and pedagogical context – a comparison between Brazil and Denmark. Learning Tech – Tidsskrift for Læremidler, Didaktik og Teknologi, 6. https://learningtech.laeremiddel.dk/wp-content/uploads/2019/08/Digital-learning-platforms-and-local-context-web.pdf
  • Azjen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.
  • Bakkabulindi, F. E. K. (2014). A call for return to rogers’ innovation diffusion theory. Makerere Journal of Higher Education, 6(1), 55–85. https://doi.org/10.4314/majohe.v6i1.4
  • Barone, R. (2020). What is an online learning platform? ID Tech. https://www.idtech.com/blog/what-is-an-online-learning-platform
  • Behar, P. A., Passerino, L. M., de Castro, A. P. F., Frozi, S., de Oliveira Dias, C., & da Silva, K. K. A. (2009). A Study on Pedagogical Requirements for Multi-platform Learning Objects. In Education and Technology for a Better World, 9th IFIP TC 3 World Conference on Computers in Education, Bento Gonçalves, Brazil.
  • Bhattacherjee, A. (2001). Understanding Information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
  • Böhm, S., & Constantine, G. P. (2016). Impact of contextuality on mobile learning acceptance. Interactive Technology and Smart Education.
  • Boström, L., & Dalin, R. (2015). Teachers’ Perceptions of the educational platform-Is there a connection between school improvement and regional educational development? Journal of Education and Training Studies, 4(2), 10–20. https://doi.org/10.11114/jets.v4i2.1114
  • Bruner, G. C., & Kumar, A. (2005). Explaining consumer acceptance of handheld internet devices. Journal of Business Research, 58(5), 553–558. https://doi.org/10.1016/j.jbusres.2003.08.002
  • Büyüköztürk, Ş. (2002). Faktör analizi: Temel kavramlar ve ölçek geliştirmede kullanımı. Kuram ve Uygulamada Eğitim Yönetimi, 32(32), 470–483. https://dergipark.org.tr/en/pub/kuey/issue/10365/126871
  • Büyüköztürk, Ş. (2008). Veri analizi el kitabı.
  • Cachero-Gonzalez, M. L., Medina-Rivilla, A., Dominguez-Garrido, M. C., & Medina-Dominguez, M. (2019). The learning platform in Distance higher education: Students’ perceptions. Turkish Online Journal of Distance Education, 20(1), 71–95. https://doi.org/10.17718/tojde.522387
  • Calisir, F., Gumussoy, C., Bayraktaroglu, A. E., & Karaali, D. (2014). Predicting the intention to use a web-based learning system: Perceived content quality, anxiety, perceived system quality, image, and the technology acceptance model. Human Factors and Ergonomics in Manufacturing & Service Industries, 24(5), 515–531. https://doi.org/10.1002/hfm.20548
  • Carmines, E., & Zeller, R. (1979). Reliability and validity assessment. Sage Publications.
  • Chen, T., Peng, L., Yin, X., Rong, J., Yang, J., & Cong, G. (2020). Analysis of user satisfaction with online education platforms in China during the COVID-19 pandemic. Healthcare, 8(3), 200. https://doi.org/10.3390/healthcare8030200
  • Cheng, Y. M. (2012). Effects of quality antecedents on e-learning acceptance. Internet Research, 22(3), 361–390. https://doi.org/10.1108/10662241211235699
  • Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160–175. https://doi.org/10.1016/j.compedu.2012.12.003
  • Chou, A. Y., & Chou, D. C. (2011). Course management systems and blended learning: An innovative learning approach. Decision Sciences Journal of Innovative Education, 9(3), 463–484. https://doi.org/10.1111/j.1540-4609.2011.00325.x
  • Clement, J. (2020). Worldwide digital population as of April 2020. https://www.statista.com/statistics/617136/digital-population-worldwide/
  • Dash, S. (2019). Google classroom as a learning management system to teach biochemistry in a medical school. Biochemistry and Molecular Biology Education, 47(4), 404–407. https://doi.org/10.1002/bmb.21246
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
  • DeCoster, J. (1998). Overview of factor analysis. Retrieved on 04, 12, 2020 from http://www.stat-help.com/notes.html
  • Demirel, E. (2016). Accreditation of Distance learning. Universal Journal of Educational Research, 4(10), 2457–2464. https://doi.org/10.13189/ujer.2016.041026
  • Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task–technology fit constructs. Information & Management, 36(1), 9–21. https://doi.org/10.1016/S0378-7206(98)00101-3
  • Dunlap, J. C., & Lowenthal, P. R. (2013). Learning, unlearning, and relearning: Using Web 2.0 technologies to support the development of lifelong learning skills. In M. Khosrow-Pour (Ed.), IT policy and ethics: Concepts, methodologies, tools, and applications (pp. 170–193). IGI Global.
  • Eraslan Yalcin, M., & Kutlu, B. (2019). Examination of students’ acceptance of and intention to use learning management systems using extended TAM. British Journal of Educational Technology, 50(5), 2414–2432. https://doi.org/10.1111/bjet.12798
  • Ergin, Y. D. (1995). 1. ölçeklerde geçerlik ve güvenirlik.
  • Fraenkel, R. J., Norman, W. E., & Hyun, H. H. (2012). How to design and evaluate research in education (eighth education). McGraw-Hill.
  • Gerasimova, V. G., Melamud, M. R., Tutaeva, D. R., Romanova, Y. D., & Zhenova, N. A. (2018). The adoption of e-learning technology at the faculty of distance learning of plekhanov Russian university of economics. Journal of Social Studies Education Research, 9(2), 172–188. https://files.eric.ed.gov/fulltext/EJ1181979.pdf
  • Ghirardini, B. (2011). E-learning methodologies A guide for designing and developing e-learning courses.
  • Gillespie, T. (2010). The politics of ‘platforms’. New Media & Society, 12(3), 347–364. https://doi.org/10.1177/1461444809342738
  • Gómez, E., & Rodríguez-Marciel, C. (2012). PGDnet: A new problem-solving virtual learning environment. British Journal of Educational Technology, 43(4), 576–591. https://doi.org/10.1111/j.1467-8535.2011.01224.x
  • Gómez-Zermeño, M., & Franco-Gutiérrez, H. (2018). The use of educational platforms as teaching resource in mathematics. Journal of Technology and Science Education, 8(1), 63–71. https://doi.org/10.3926/jotse.337
  • Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593. https://doi.org/10.1111/bjet.12864
  • Gros, B., & García-Peñalvo, F. J. (2016). Future trends in the design strategies and technological affordances of e-learning. Springer.
  • Hair Jr, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis seventh edition. Pearson Prentice Hall.
  • Heggart, K. R., & Yoo, J. (2018). Getting the most from Google Classroom: A pedagogical framework for tertiary educators. Australian Journal of Teacher Education, 43(3), 9. https://doi.org/10.14221/ajte.2018v43n3.9
  • Helmond, A. (2015). The platformization of the web: Making web data platform ready. Social Media+ Society, 1(2), 2056305115603080.
  • Ho, N. T. T., Sivapalan, S., Pham, H. H., Nguyen, L. T. M., Van Pham, A. T., & Dinh, H. V. (2020). Students’ adoption of e-learning in emergency situation: the case of a Vietnamese university during COVID-19. Interactive Technology and Smart Education.
  • Hsiaohui, H., & Yuying, C. (2013). Extended TAM model: Impacts of convenience on acceptance and use of Moodle. Online Submission, 3(4), 211–218. https://files.eric.ed.gov/fulltext/ED542974.pdf
  • Hsu, C.-L., & Lu, H.-P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853–868. https://doi.org/10.1016/j.im.2003.08.014
  • Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: a Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  • Ifinedo, P. (2006). Acceptance and continuance intention of web-based learning technologies (WLT) use among university students in a baltic country. The Electronic Journal of Information Systems in Developing Countries, 23(1), 1–20. https://doi.org/10.1002/j.1681-4835.2006.tb00151.x
  • Igado, M. F. (2010). The Use of Distance Learning in the educational process content and structure of educational platforms–analysis of the platform educans. Journal on School Educational Technology, 5(4), 15–34. https://files.eric.ed.gov/fulltext/EJ1102787.pdf
  • İşbulan, O., & Kiyici, M. (2020). Analysis and improvement of prospective teachers’ educational Facebook use and development A model for educational purposes. International Journal of Psychology and Educational Studies, 7(2), 50–71. https://doi.org/10.17220/ijpes.2020.02.005
  • Jeppesen, J. (2015). The vision and pedagogical platform. EDUSPACES.
  • John, A. C. (2015). Reliability and validity: A sine Qua Non for fair assessment of undergraduate technical and vocational Education projects in Nigerian universities. Journal of Education and Practice, 6(34), 68–75. https://files.eric.ed.gov/fulltext/EJ1086092.pdf
  • Juszczyk-Rygałło, J. (2017). Teacher’s competences at the age of digitalization of education. Editorial Board.
  • Keane, T., Keane, W. F., & Blicblau, A. S. (2016). Beyond traditional literacy: Learning and transformative practices using ICT. Education and Information Technologies, 21(4), 769–781. https://doi.org/10.1007/s10639-014-9353-5
  • Kenney, M., & Zysman, J. (2016). The rise of the platform economy. Issues in Science and Technology, 32(3), 61. https://www.nbp.pl/badania/seminaria/25x2016_2.pdf
  • Kizel, A. (2016). Philosophy with Children as an educational platform for self-determined learning. Cogent Education, 3(1), 1244026. https://doi.org/10.1080/2331186X.2016.1244026
  • Kline, P. (2014). An easy guide to factor analysis. Routledge.
  • Klopping, I. M., & McKinney, E. (2004). Extending the technology acceptance model and the task-technology fit model to consumer e-commerce. Information Technology, Learning & Performance Journal, 22(1), 35–48. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.121.3397&rep=rep1&type=pdf
  • Kotevski, Z., & Milenkoski, A. (2018). Are free internet technologies and services the future of synchronous distance learning? Turkish Online Journal of Distance Education, 19(3), 4–14. https://doi.org/10.17718/tojde.444604
  • Kumar, M. (2011). Use of blackboard on student's learning. International Journal of Global Management, 2(1), 86–106. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=6f43331a-a666-4dd2-829e-89351ef9f617%40redis
  • Lau, S., & Woods, P. C. (2008). An empirical study of learning object acceptance in multimedia learning environment. Communications of the IBIMA, 5(1), 1–6. https://ibimapublishing.com/articles/CIBIMA/2008/391054/391054.pdf
  • Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World wide Web. Decision Support Systems, 29(3), 269–282. https://doi.org/10.1016/S0167-9236(00)00076-2
  • Lemay, D. J., Doleck, T., & Bazelais, P. (2019). Context and technology use: Opportunities and challenges of the situated perspective in technology acceptance research. British Journal of Educational Technology, 50(5), 2450–2465. https://doi.org/10.1111/bjet.12859
  • Lembani, R., Gunter, A., Breines, M., & Dalu, M. T. B. (2019). The same course, different access: The digital divide between urban and rural distance education students in South Africa. Journal of Geography in Higher Education, 44(1), 70–84. https://doi.org/10.1080/03098265.2019.1694876
  • Liaw, S.-S., Huang, H.-M., & Chen, G.-D. (2007). An activity-theoretical approach to investigate learners’ factors toward e-learning systems. Computers in Human Behavior, 23(4), 1906–1920. https://doi.org/10.1016/j.chb.2006.02.002
  • Lin, J. C.-C., & Lu, H. (2000). Towards an understanding of the behavioural intention to use a web site. International Journal of Information Management, 20(3), 197–208. https://doi.org/10.1016/S0268-4012(00)00005-0
  • Liu, S.-H., Liao, H.-L., & Pratt, J. A. (2009). Impact of media richness and flow on e-learning technology acceptance. Computers & Education, 52(3), 599–607. https://doi.org/10.1016/j.compedu.2008.11.002
  • Martínez-Torres, M. R., Toral Marín, S. L., Garcia, F. B., Vazquez, S. G., Oliva, M. A., & Torres, T. (2008). A technological acceptance of e-learning tools used in practical and laboratory teaching, according to the European higher education area. Behaviour & Information Technology, 27(6), 495–505. https://doi.org/10.1080/01449290600958965
  • Mayende, G., Muyinda, P. B., Isabwe, G. M. N., Walimbwa, M., & Siminyu, S. N. (2014). Facebook mediated interaction and learning in Distance learning at Makerere university. ERIC.
  • McCue, T. J. (2018). eLearning Climbing To $325 Billion By 2025 UF Canvas Absorb Schoology Moodle. Forbes. https://www.forbes.com/sites/tjmccue/2018/07/31/e-learning-climbing-to-325-billion-by-2025-uf-canvas-absorb-schoology-moodle/#3690b5a83b39
  • Means, A. J. (2019). Platform urbanism, creativity, and the new educational futurism. Educational Theory, 69(2), 205–223. https://doi.org/10.1111/edth.12362
  • Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a world-wide-web context. Information & Management, 38(4), 217–230. https://doi.org/10.1016/S0378-7206(00)00061-6
  • Mott, J., & Wiley, D. (2009). Open for learning: The CMS and the open learning network.
  • Neo, M., Park, H., Lee, M.-J., Soh, J.-Y., & Oh, J.-Y. (2015). Technology acceptance of healthcare E-learning modules: A study of Korean and Malaysian students’ perceptions. Turkish Online Journal of Educational Technology-TOJET, 14(2), 181–194. https://files.eric.ed.gov/fulltext/EJ1057368.pdf
  • Obari, H. (2013). The Impact of Employing Mobile Technologies and PCs for Learning Coursera Online Lectures and TOEIC Practice Kit. https://doi.org/10.14705/rpnet.2013.000160
  • Pallant, J. (2017). SPSS kullanma kılavuzu: SPSS ile adım adım veri analizi. Anı Yayıncılık.
  • Pangeni, S. K. (2016). Open and distance learning: Cultural practices in Nepal. European Journal of Open, Distance and E-Learning, 19(2), 32–45. https://doi.org/10.1515/eurodl-2016-0006
  • Pappas, C. (2019). Top 20 eLearning Statistics For 2019 You Need To Know. https://elearningindustry.com/top-elearning-statistics-2019
  • Parenti, M. A. (2013). Student Perceptions of Asynchronous and synchronous Web based tools and perceived attainment of academic outcomes. Journal of Educational Technology, 9(4), 8–14. https://files.eric.ed.gov/fulltext/EJ1101722.pdf
  • Park, Y., Son, H., & Kim, C. (2012). Investigating the determinants of construction professionals’ acceptance of web-based training: An extension of the technology acceptance model. Automation in Construction, 22, 377–386. https://doi.org/10.1016/j.autcon.2011.09.016
  • Parker, J. (2011). Practitioner practices for designing and delivering online higher education courses within a learning management system.
  • Perrotta, C., Gulson, K. N., Williamson, B., & Witzenberger, K. (2021). Automation, APIs and the distributed labour of platform pedagogies in Google classroom. Critical Studies in Education, 62(1), 97–113. https://doi.org/10.1080/17508487.2020.1855597
  • Peterson-Ahmad, M. B., Stepp, J. B., & Somerville, K. (2018). Teaching pre-service teachers how to utilize web 2.0 platforms to support the educational needs of students with disabilities in general education classrooms. Education Sciences, 8(2), 80. https://doi.org/10.3390/educsci8020080
  • Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9(5), 1–6. https://doi.org/10.1108/10748120110424816
  • Puncreobutr, V. (2016). Education 4.0: New challenge of learning. St. Theresa Journal of Humanities and Social Sciences, 2(2), 92–97. http://www.stic.ac.th/ojs/index.php/sjhs/article/view/Position%20Paper3/47
  • Qureshi, M. A., Khaskheli, A., Qureshi, J. A., Raza, S. A., & Yousufi, S. Q. (2021). Factors affecting students’ learning performance through collaborative learning and engagement. Interactive Learning Environments, Online ahead of print, 1–21. https://doi.org/10.1080/10494820.2021.1884886
  • Raza, S. A., Qazi, W., Khan, K. A., & Salam, J. (2021). Social isolation and acceptance of the learning management system (LMS) in the time of COVID-19 pandemic: An expansion of the UTAUT model. Journal of Educational Computing Research, 59(2), 183–208. https://doi.org/10.1177/0735633120960421
  • Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.
  • Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: An extension of the technology acceptance model. Information & Management, 42(2), 317–327. https://doi.org/10.1016/j.im.2003.12.013
  • Samuels, P. (2016). Advice on exploratory factor analysis. Centre for Academic Success, Birmingham City University.
  • Sánchez-López, I., Pérez-Rodríguez, A., & Fandos-Igado, M. (2019). Com-educational platforms: Creativity and community for learning. Journal of New Approaches in Educational Research, 8(2), 214–226. https://doi.org/10.7821/naer.2019.7.437
  • Scherer, R. F., Luther, D. C., Wiebe, F. A., & Adams, J. S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological Reports, 62(3), 763–770. https://doi.org/10.2466/pr0.1988.62.3.763
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.509.4258&rep=rep1&type=pdf
  • Schultz, R. (2005). How to get started in ODL? In K. Depryck (Ed.), Getting started With open & Distance learning (1st ed., pp. 17–32). Garant Uitgevers N V.
  • Seels, B. B., & Richey, R. C. (2012). Instructional technology: The definition and domains of the field. IAP.
  • Şeker, H., & Gençdoğan, B. (2014). Psikolojide ve ölçmede ölçme aracı geliştirme. Nobel Yayınevi.
  • Selwyn, N., Pangrazio, L., Nemorin, S., & Perrotta, C. (2020). What might the school of 2030 be like? An exercise in social science fiction. Learning, Media and Technology, 45(1), 90–106. https://doi.org/10.1080/17439884.2020.1694944
  • Smeets, R., Broaekman, F., & Bouwers, E. (2019). Affect Detection in Home-Based Educational Software for Young Children. International Educational Data Mining Society.
  • Sönmez, V., & Alacapınar, F. G. (2011). Örneklendirilmiş bilimsel araştırma yöntemleri [Exemplified scientific research methods]. ANI Yayıncılık.
  • Srite, M., & Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS quarterly, 679-704.
  • Stasinakis, P., & Kalogiannakis, M. (2015). Using Moodle in secondary education: A case study of the course “research project” in Greece. International Journal of Education and Development Using ICT, 11(3), 50–64. https://www.learntechlib.org/p/171319/
  • Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics (6th ed.). Person Education.
  • Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (Vol. 5). Pearson.
  • Tarhini, A., Hassouna, M., Abbasi, M. S., & Orozco, J. (2015a). Towards the acceptance of RSS to support learning: An empirical study to validate the technology acceptance model in Lebanon. Electronic Journal of e-Learning, 13(1), 30–41. https://gala.gre.ac.uk/id/eprint/13144/
  • Tarhini, A., Hone, K., & Liu, X. (2014). Measuring the moderating effect of Gender and Age on E-learning acceptance in England: A structural equation modeling approach for An extended technology acceptance model. Journal of Educational Computing Research, 51(2), 163–184. https://doi.org/10.2190/EC.51.2.b
  • Tarhini, A., Scott, M., Sharma, S., & Abbasi, M. S. (2015b). Differences in intention to use educational RSS feeds between Lebanese and British students: A multi-group analysis based on the technology acceptance model. Electronic Journal of e-Learning, 13(1), 14–29. https://bura.brunel.ac.uk/handle/2438/10879
  • Taspinar, M. (2017). Sosyal bilimlerde SSPS uygulamalı nicel veri analizi.
  • Teo, T., Luan, W. S., & Sing, C. C. (2008). A cross-cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: An application of the technology acceptance model (TAM). Journal of Educational Technology & Society, 11(4), 265–280. https://www.jstor.org/stable/pdf/jeductechsoci.11.4.265.pdf?casa_token=NIEEQ0wfeGQAAAAA:gqh8XZl6cg-7QKgLY8NGR0M5KzQRFXOhMqC22VMRSQvK4ZdYf5ylSMyiH3s5mZkeLAYZCx92Ucgd953kshvnE30F_qYijFC121LUgL7ii8_u95UUTTM
  • Teo, T., & Noyes, J. (2010). Exploring attitudes towards computer use among pre-service teachers from Singapore and the UK. Multicultural Education & Technology Journal, 4(2), 126–135. https://doi.org/10.1108/17504971011052331
  • Tereseviciene, M., Trepule, E., Dauksiene, E., Tamoliune, G., & Costa, N. (2020). Are universities ready to recognize Open online learning? International Education Studies, 13(2), 21–32. https://doi.org/10.5539/ies.v13n2p21
  • Thompson, B. (2004). Exploratory and confirmatory factor analysis. American Psychological Association.
  • Tisch, M., Ranz, F., Abele, E., Metternich, J., & Hummel, V. (2015). Learning factory morphology–study of form and structure of an innovative learning approach in the manufacturing domain.
  • Tukdeo, S. (2020). Education in Times of COVID: Re-Centering Our Public Schools. https://thebastion.co.in/politics-and/education/education-in-times-of-covid-re-centering-our-public-schools/
  • Urbina, S. (2014). Essentials of psychological testing. John Wiley & Sons.
  • Ursavaş, ÖF, Yalçın, Y., & Bakır, E. (2019). The effect of subjective norms on preservice and in-service teachers’ behavioural intentions to use technology: A multigroup multimodel study. British Journal of Educational Technology, 50(5), 2501–2519. https://doi.org/10.1111/bjet.12834
  • Valencia, H. G., Enríquez, J. A. V., & Tigreros, M. E. F. (2018). Innovative scenarios in the teaching and learning process: A view from the implementation of virtual platforms. English Language Teaching, 11(7), 131–141. https://doi.org/10.5539/elt.v11n7p131
  • Van De Bogart, W., & Wichadee, S. (2015). Exploring students’ intention to use LINE for academic purposes based on technology acceptance model. International Review of Research in Open and Distributed Learning, 16(3), 65–85. https://doi.org/10.19173/irrodl.v16i3.1894
  • Van Wyk, M. M. (2018). Flipping the economics class in a teacher education course. Technology, Knowledge and Learning, 24(3), 373–399. https://doi.org/10.1007/s10758-018-9377-9
  • Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information & Management, 41(6), 747–762. https://doi.org/10.1016/j.im.2003.08.011
  • Vivakaran, M. V., & Maraimalai, N. (2018). Networked learning and learning analytics: A study on the employment of Facebook in a virtual training program. Interactive Learning Environments, 27(2), 242–255. https://doi.org/10.1080/10494820.2018.1460381
  • Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. (1977). Assessing reliability and stability in panel models. Sociological Methodology, 8, 84–136. https://doi.org/10.2307/270754
  • Wong, K.-T. (2013). Understanding student Teachers’ behavioural intention to Use technology: Technology acceptance model (TAM) validation and testing. Online Submission, 6(1), 89–104. https://files.eric.ed.gov/fulltext/ED539841.pdf
  • Wu, X., & Gao, Y. (2011). Applying the extended technology acceptance model to the Use of clickers in student learning: Some Evidence from macroeconomics classes. American Journal of Business Education, 4(7), 43–50. https://files.eric.ed.gov/fulltext/EJ1056595.pdf
  • Yagci, T. (2015). Blended learning via mobile social media & implementation of” EDMODO” in reading classes. Advances in Language and Literary Studies, 6(4), 41–47. https://files.eric.ed.gov/fulltext/EJ1127658.pdf
  • Yaslioglu, M. M. (2017). Sosyal bilimlerde faktör analizi ve geçerlilik: Keşfedici ve doğrulayıcı faktör analizlerinin kullanılması. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 46(Special Issue), 74–85. https://dergipark.org.tr/en/pub/iuisletme/issue/32177/357061
  • Yong, A. G., & Pearce, S. (2013). A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutorials in Quantitative Methods for Psychology, 9(2), 79–94. https://doi.org/10.20982/tqmp.09.2.p079
  • Zaíane, O. R. (2002). Building a recommender agent for e-learning systems. In: International Conference on Computers in Education, Auckland, New Zealand.
  • Zaidi, S. F. H., Osmanaj, V., Ali, O., & Zaidi, S. A. H. (2021). Adoption of mobile technology for mobile learning by university students during COVID-19. The International Journal of Information and Learning Technology, 38(4), 329–344. https://doi.org/10.1108/IJILT-02-2021-0033

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