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Articles

Social family, parental involvement and intentions: predicting the technology acceptance and interest students learning online

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Pages 5331-5346 | Received 01 Sep 2021, Accepted 24 Oct 2021, Published online: 31 Dec 2021

References

  • Açıkgül, K., & Sad, S. N. (2021). High school students’ acceptance and use of mobile technology in learning mathematics. Education and Information Technologies, 26, 4181–4201. https://doi.org/10.1007/s10639-021-10466-7
  • Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694. https://doi.org/10.2307/3250951
  • Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195
  • Akey, T. M. (2006). School context, student attitudes and behavior, and academic achievement: An exploratory analysis. MDRC.
  • Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. (2020). Fear from COVID-19 and technology adoption: The impact of google meet during coronavirus pandemic. Interactive Learning Environments. https://doi.org/10.1080/10494820.2020.1830121
  • Al-Mushasha, N. F. A. (2013). Determinants of e-learning acceptance in higher education environment based on extended technology acceptance model. 2013 Fourth International Conference on e-Learning Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity, Manama, Bahrain (pp. 261–266). IEEE.
  • Al-Rahmi, W. M., Yahaya, N., Alamri, M. M., Alyoussef, I. Y., Al-Rahmi, A. M., & Kamin, Y. B. (2019). Integrating innovation diffusion theory with technology acceptance model: Supporting students’ attitude towards using a massive open online courses (MOOCs) systems. Interactive Learning Environments, 29(8), 1380–1392. https://doi.org/10.1080/10494820.2019.1629599
  • Anderson, T. (2004). Towards a theory of online learning. Theory and Practice of Online Learning, Handbook 2nd Edition, 109–119.
  • Andrew, M., & Hauser, R. M. (2011). Adoption? Adaptation? Evaluating the formation of educational expectations. Social Forces, 90(2), 497–520. https://doi.org/10.1093/sf/sor005
  • Anthony, B., Kamaludin, A., Romli, A., Raffei, A. F. M., Phon, D. N. A. E., Abdullah, A., & Ming, G. L. (2020). Blended learning adoption and implementation in higher education: A theoretical and systematic review. Technology Knowledge and Learning. https://doi.org/10.1007/s10758-020-09477-z
  • Ballantyne, R., Fien, J., & Packer, J. (2001). School environmental education programme impacts upon student and family learning: A case study analysis. Environmental Education Research, 7(1), 23–37. https://doi.org/10.1080/13504620124123
  • Bandura, A. (1983). Self-efficacy determinants of anticipated fears and calamities. Journal of Personality and Social Psychology, 45(2), 464. https://doi.org/10.1037/0022-3514.45.2.464
  • Bansak, C., & Starr, M. (2021). Covid-19 shocks to education supply: How 200,000 US households dealt with the sudden shift to distance learning. Review of Economics of the Household, 19(1), 63–90. https://doi.org/10.1007/s11150-020-09540-9
  • Beh, J., Mascitelli, B., & Pedell, S. (2019). Encouraging social inclusion for older adults through “interest”-led technology use. In Mental health policy, practice, and service accessibility in contemporary society (pp. 226–243). IGI Global.
  • Bikner-Ahsbahs, A. (2003, July 13–18). Angelika international group for the psychology of mathematics education. Paper presented at the 27th International Group for the Psychology of Mathematics Education Conference Held Jointly with the 25th PME-NA Conference, Honolulu, HI (Vol. 2, pp. 97–104).
  • Björklund, A., & Salvanes, K. G. (2011). Education and family background: Mechanisms and policies. In Handbook of the Economics of Education (Vol. 3, pp. 201–247). Elsevier. https://doi.org/10.1016/B978-0-444-53429-3.00003-X
  • Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods and Research, 17(3), 303–316. https://doi.org/10.1177/0049124189017003004
  • Bond, G. (1981). Social economic status and educational achievement: A review article. Anthropology and Education Quarterly, 12(4), 227–257. https://doi.org/10.1525/aeq.1981.12.4.05x1811q
  • Buchanan, T., Sainter, P., & Saunders, G. (2013). Factors affecting faculty use of learning technologies: Implications for models of technology adoption. Journal of Computing in Higher Education, 25(1), 1–11. https://doi.org/10.1007/s12528-013-9066-6
  • Cabero-Almenara, J., Fernández-Batanero, J. M., & Barroso-Osuna, J. (2019). Adoption of augmented reality technology by university students. Heliyon, 5(5), article number e01597. https://doi.org/10.1016/j.heliyon.2019.e01597
  • Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217. https://doi.org/10.1287/isre.14.2.189.16018
  • Chou, C. H., Wang, Y. S., & Tang, T. I. (2015). Exploring the determinants of knowledge adoption in virtual communities: A social influence perspective. International Journal of Information Management, 35(3), 364–376. https://doi.org/10.1016/j.ijinfomgt.2015.02.001
  • Christopher, J. D. (1990). The evolution of distance learning. Journal of Research on Computing in Education, 22(3), 247–264. https://doi.org/10.1080/08886504.1990.10781919
  • Chu, A., Biancarelli, D., Drainoni, M. L., Liu, J. H., Schneider, J. I., Sullivan, R., & Sheng, A. Y. (2020). Usability of learning moment: Features of an E-learning tool that maximize adoption by students. Western Journal of Emergency Medicine, 21(1), 78. https://doi.org/10.5811/westjem.2019.6.42657
  • Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Academic press.
  • Costley, J., & Lange, C. H. (2017). Video lectures in e-learning: Effects of viewership and media diversity on learning, satisfaction, engagement, interest, and future behavioral intention. Interactive Technology and Smart Education, 14(1), 14–30. https://doi.org/10.1108/ITSE-08-2016-0025
  • Cotterman, W. W., & Senn, J. A. (Eds.). (1992). Challenges and strategies for research in systems development. Handbook. John Wiley and Sons, Inc.
  • Davis, F. (1989). Perceived usefulness, perceived ease of Use, and user acceptance of Information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  • Dhume, S. M., Pattanshetti, M. Y., Kamble, S. S., & Prasad, T. (2012). Adoption of social media by business education students: Application of Technology Acceptance Model (TAM). 2012 IEEE International Conference on Technology Enhanced Education (ICTEE), Amritapuri, India (pp. 1–10). IEEE.
  • Diamantopoulos, A., Riefler, P., & Roth, K. P. (2008). Advancing formative measurement models. Journal of Business Research, 61(12), 1203–1218. https://doi.org/10.1016/j.jbusres.2008.01.009
  • do Amaral, J. A. A., & Brito, S. C. (2018). Using the arts to foster students’ interest engagement, and learning in a distance-learning environment. Anatolian Journal of Education, 3(2), 1–18. https://doi.org/10.29333/aje.2018.321a
  • Elkaseh, A. M., Wong, K. W., & Fung, C. C. (2016). Perceived ease of use and perceived usefulness of social media for e-learning in Libyan higher education: A structural equation modeling analysis. International Journal of Information and Education Technology, 6(3), 192. https://doi.org/10.7763/IJIET.2016.V6.683
  • Epstein, J. (1995). School-family-community partnerships: Caring for the childrenwe share. Phi Delta Kappan, 92(3), 81–96. https://doi.org/10.1177/003172171009200326.
  • Eutsler, L. (2018). Parents’ mobile technology adoption influences on elementary children’s use. The International Journal of Information and Learning Technology, 35(1), 29–42. https://doi.org/10.1108/IJILT-05-2017-0035
  • Eyal, T., Sagristano, M. D., Trope, Y., Liberman, N., & Chaiken, S. (2009). When values matter: Expressing values in behavioral intentions for the near vs. distant future. Journal of Experimental Social Psychology, 45(1), 35–43. https://doi.org/10.1016/j.jesp.2008.07.023
  • Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. AddisonWesley.
  • Flynn, N., Keane, E., Davitt, E., McCauley, V., Heinz, M., & Mac Ruairc, G. (2021). ‘Schooling at Home’ in Ireland during COVID-19’: Parents’ and students’ perspectives on overall impact. Continuity of interest, and impact on learning. Irish Educational Studies, 40(2), 217–226. https://doi.org/10.1080/03323315.2021.1916558
  • Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440–452. https://doi.org/10.1177/002224378201900406
  • Gardner, R. C., & Tremblay, P. F. (1994). On motivation: Measurement and conceptual considerations 1. The Modern Language Journal, 78(4), 524–527. https://doi.org/10.2307/328591
  • Garthwaite, P. H. (1994). An interpretation of partial least squares. Journal of the American Statistical Association, 89(425), 122–127. https://doi.org/10.1080/01621459.1994.10476452
  • Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 7. https://doi.org/10.17705/1CAIS.00407
  • Georgiou, S. N. (1996). Parental involvement: Definition and outcomes. Social Psychology of Education, 1(3), 189–209. https://doi.org/10.1007/BF02339890
  • Gonzalez, A. R. (2002). Parental involvement: Its contribution to high school students’ motivation. The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 75(3), 132–134. https://doi.org/10.1080/00098650209599252
  • Gorard, S., & See, B. H. (2009). The impact of socio-economic status on participation and attainment in science. Studies in Science Education, 45(1), 93–129. https://doi.org/10.1080/03057260802681821
  • Halim, L., Abd Rahman, N., Zamri, R., & Mohtar, L. (2018). The roles of parents in cultivating children’s interest towards science learning and careers. Kasetsart Journal of Social Sciences, 39(2), 190–196. https://doi.org/10.1016/j.kjss.2017.05.001
  • Hartas, D. (2011). Families’ social backgrounds matter: Socio-economic factors, home learning and young children’s language, literacy and social outcomes. British Educational Research Journal, 37(6), 893–914. https://doi.org/10.1080/01411926.2010.506945
  • Hashim, K. F., Tan, F. B., & Rashid, A. (2015). Adult learners’ intention to adopt mobile learning: A motivational perspective. British Journal of Educational Technology, 46(2), 381–390. https://doi.org/10.1111/bjet.12148
  • Heflin, H., Shewmaker, J., & Nguyen, J. (2017). Impact of mobile technology on student attitudes, engagement, and learning. Computers & Education, 107, 91–99. https://doi.org/10.1016/j.compedu.2017.01.006
  • Høgheim, S., & Federici, R. A. (2020). Interest in teacher education: Exploring the relation between student teacher interest and ambitions in teacher education. European Journal of Teacher Education. https://doi.org/10.1080/02619768.2020.1860006
  • Hong, J. C., Hwang, M. Y., Liu, M. C., Ho, H. Y., & Chen, Y. L. (2014). Using a “prediction–observation–explanation” inquiry model to enhance student interest and intention to continue science learning predicted by their Internet cognitive failure. Computers & Education, 72, 110–120. https://doi.org/10.1016/j.compedu.2013.10.004
  • Hoover-Dempsey, K. V., Battiato, A. C., Walker, J. M., Reed, R. P., DeJong, J. M., & Jones, K. P. (2001). Parental involvement in homework. Educational Psychologist, 36(3), 195–209. https://doi.org/10.1207/S15326985EP3603_5
  • Hornby, G., & Lafaele, R. (2011). Barriers to parental involvement in education: An explanatory model. Educational Review, 63(1), 37–52. https://doi.org/10.1080/00131911.2010.488049
  • Huang, H.-M. (2002). Toward constructivism for adult learners in online learning environments. British Journal of Educational Technology, 33(1), 27–37. https://doi.org/10.1111/1467-8535.00236
  • Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Journal of Educational Technology & Society, 21(3), 48–59. http://www.jstor.org/stable/26458506
  • Khan, A., Masrek, M. N., Mahmood, K., & Qutab, S. (2017). Factors influencing the adoption of digital reference services among the university librarians in Pakistan. The Electronic Library, 35(6), 1225–1246. https://doi.org/10.1108/el-05-2016-0112
  • Khechine, H., Raymond, B., & Augier, M. (2020). The adoption of a social learning system: Intrinsic value in the UTAUT model. British Journal of Educational Technology, 51(6), 2306–2325. https://doi.org/10.1111/bjet.12905
  • Kock, N., & Lynn, G. S. (2012, September 26). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7). https://ssrn.com/abstract=2152644
  • Krapp, A. (1999). Interest, motivation and learning: An educational-psychological perspective. European Journal of Psychology of Education, 14(1), 23–40. https://doi.org/10.1007/BF03173109
  • Kyndt, E., Dochy, F., Onghena, P., & Baert, H. (2013). The learning intentions of low-qualified employees: A multilevel approach. Adult Education Quarterly, 63(2), 165–189. https://doi.org/10.1177/0741713612454324
  • Lau, E. Y. H., & Lee, K. (2021). Parents’ views on young children’s distance learning and screen time during COVID-19 class suspension in Hong Kong. Early Education and Development, 32(6), 863–880. https://doi.org/10.1080/10409289.2020.1843925
  • Li, Q., & Luximon, Y. (2016). Older adults and digital technology: A study of user perception and usage behavior. In Advances in physical ergonomics and human factors (pp. 155–163). Springer.
  • Lin, A. C., Fernandez, W. D., & Gregor, S. (2012). Understanding web enjoyment experiences and informal learning: A study in a museum context. Decision Support Systems, 53(4), 846–858. https://doi.org/10.1016/j.dss.2012.05.020
  • Lin, Y., Wang, S., Wu, Q., & Chen, L. (2019). Key technologies and solutions of remote distributed virtual laboratory for E-learning and E-education. Mobile Networks and Applications, 24(1), 18–24. https://doi.org/10.1007/s11036-018-1130-z
  • MacIntyre, P. D., & Blackie, R. A. (2012). Action control, motivated strategies, and integrative motivation as predictors of language learning affect and the intention to continue learning French. System, 40(4), 533–543. https://doi.org/10.1016/j.system.2012.10.014
  • Marjoribanks, K. (1996). Family learning environments and students’ outcomes: A review. Journal of Comparative Family Studies, 27(2), 373–394. https://doi.org/10.3138/jcfs.27.2.373
  • Mazer, J. P. (2012). Development and validation of the student interest and engagement scales. Communication Methods and Measures, 6(2), 99–125. https://doi.org/10.1080/19312458.2012.679244
  • Mehta, A., Morris, N. P., Swinnerton, B., & Homer, M. (2019). The influence of values on E-learning adoption. Computers & Education, 141, article number 103617. https://doi.org/10.1016/j.compedu.2019.103617
  • Melesk, K. (2020). Combining learning with family responsibilities: European women in comparative perspective. International Journal of Sociology and Social Policy, 41(7/8), 826–841. https://doi.org/10.1108/IJSSP-05-2020-0194
  • Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1, article number 100012. https://doi.org/10.1016/j.ijedro.2020.100012
  • Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior, 45, 359–374. https://doi.org/10.1016/j.chb.2014.07.044
  • Moore, J. L., Dickson-Deane, C., & Galyen, K. (2011). E-learning, online learning, and distance learning environments: Are they the same? The Internet and Higher Education, 14(2), 129–135. https://doi.org/10.1016/j.iheduc.2010.10.001
  • Morris, T. A. (2010). Anytime/anywhere online learning: Does it remove barriers for adult learners? In T. Kidd (Ed.), Online education and adult learning: New frontiers for teaching practices (pp. 115–123). Information Science Reference.
  • Muali, C., Islam, S., Bali, M. E. I., Baharun, H., Mundiri, A., Jasri, M., & Fauzi, A. (2018). Free online learning based on rich internet applications; The experimentation of critical thinking about student learning style. Journal of Physics: Conference Series, 1114(1), 012024. https://doi.org/10.1088/1742-6596/1114/1/012024
  • Müller, F. H., & Louw, J. (2004). Learning environment, motivation and interest: Perspectives on self-determination theory. South African Journal of Psychology, 34(2), 169–190. https://doi.org/10.1177/008124630403400201
  • Musgrove, F., & Taylor, P. H. (2011). Society and the teacher's role (Vol. 228). Routledge.
  • Nikou, S. A., & Economides, A. A. (2017). Mobile-based assessment: Investigating the factors that influence behavioral intention to use. Computers & Education, 109, 56–73. https://doi.org/10.1016/j.compedu.2017.02.005
  • Offir, B., Barth, I., Lev, Y., & Shteinbok, A. (2003). Teacher–student interactions and learning outcomes in a distance learning environment. The Internet and Higher Education, 6(1), 65–75. https://doi.org/10.1016/S1096-7516(02)00162-8
  • Panigrahi, R., Srivastava, P. R., & Sharma, D. (2018). Online learning: Adoption, continuance, and learning outcome—A review of literature. International Journal of Information Management, 43, 1–14. https://doi.org/10.1016/j.ijinfomgt.2018.05.005
  • Park, J. H., & Choi, H. J. (2009). Factors influencing adult learners’ decision to drop out or persist in online learning. Journal of Educational Technology & Society, 12(4), 207–217.
  • Petrova, K., & Li, C. (2009). Focus and setting in mobile learning research: a review of the literature. Paper presented at the meeting of the IBIMA 2009, Kuala Lumpur.
  • Petter, S., Straub, D, & Rai, A. (2007). Specifying formative constructs in information systems research. MIS quarterly, 31(4), 623–656. https://doi.org/10.2307/25148814
  • Plug, E., & Vijverberg, W. (2003). Schooling, family background, and adoption: Is it nature or is it nurture? Journal of Political Economy, 111(3), 611–641. https://doi.org/10.1086/374185
  • Prieto, J. C. S., Migueláñez, S. O., & García-Peñalvo, F. J. (2014). Mobile learning adoption from informal into formal: An extended TAM model to measure mobile acceptance among teachers. In Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality, Salamanca, Spain (pp. 595–602). New York, NY: Association for Computing Machinery.
  • Rahmi, B. A. K. I., Birgoren, B., & Aktepe, A. (2018). A meta analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems. Turkish Online Journal of Distance Education, 19(4), 4–42. http://doi.org/10.17718/tojde.471649
  • Renninger, K. A. (2000). Individual interest and its implications for understanding intrinsic motivation. In Intrinsic and extrinsic motivation (pp. 373–404). Academic Press. https://doi.org/10.1016/B978-012619070-0/50035-0
  • Renninger, K. A., Hidi, S., Krapp, A., & Renninger, A. (2014). The role of interest in learning and development. Psychology Press.
  • Rodrigues, M., Menezes, I., & Ferreira, P. D. (2018). Validating the formative nature of psychological empowerment construct: Testing cognitive, emotional, behavioral, and relational empowerment components. Journal of Community Psychology, 46(1), 58–78. https://doi.org/10.1002/jcop.21916
  • 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
  • Saleem, M., Kamarudin, S., Shoaib, H. M., & Nasar, A. (2021). Influence of augmented reality app on intention towards e-learning amidst COVID-19 pandemic. Interactive Learning Environments, 1–15. https://doi.org/10.1080/10494820.2021.1919147
  • Salta, K., Paschalidou, K., Tsetseri, M., & Koulougliotis, D. (2021). Shift from a traditional to a distance learning environment during the COVID-19 pandemic. Science and Education, 1–30. https://doi.org/10.1007/s11191-021-00234-x
  • Schiefele, U. (1991). Interest, learning, and motivation. Educational Psychologist, 26(3-4), 299–323. https://doi.org/10.1080/00461520.1991.9653136
  • Schiefele, U. (2009). Situational and individual interest. In K. R. Wenzel & A. Wigfield (Eds.), Handbook of motivation at school (pp. 197–222). Routledge/Taylor & Francis Group.
  • Seginer, R., & Vermulst, A. D. (2002). Family environment, educational aspirations, and academic achievement in two cultural settings. Journal of Cross-Cultural Psychology, 33(6), 540–558. https://doi.org/10.1177/00220022102238268
  • Sha, L., Schunn, C., Bathgate, M., & Ben-Eliyahu, A. (2016). Families support their children’s success in science learning by influencing interest and self-efficacy. Journal of Research in Science Teaching, 53(3), 450–472. https://doi.org/10.1002/tea.21251
  • Shenoy, V., Mahendra, S., & Vijay, N. (2020). COVID 19 lockdown technology adaption, teaching, learning, students engagement and faculty experience. Mukt Shabd Journal, 9(4), 698–702.
  • Smart, K. L., & Cappel, J. J. (2006). Students’ perceptions of online learning: A comparative study. Journal of Information Technology Education: Research, 5(1), 201–219. https://doi.org/10.28945/243
  • Straub, E. T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 79(2), 625–649. https://doi.org/10.3102/0034654308325896
  • Sun, Y., & Gao, F. (2020). An investigation of the influence of intrinsic motivation on students’ intention to use mobile devices in language learning. Educational Technology Research and Development, 68(3), 1181–1198. https://doi.org/10.1007/s11423-019-09733-9
  • Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. https://doi.org/10.1287/isre.6.2.144
  • Tobias, S. (1994). Interest, prior knowledge, and learning. Review of Educational Research, 64(1), 37–54. https://doi.org/10.3102/00346543064001037
  • Toli, G., & Kallery, M. (2021). Enhancing student interest to promote learning in science: The case of the concept of energy. Education Sciences, 11(5), 220. https://doi.org/10.3390/educsci11050220
  • Tsai, Y. H., Lin, C. H., Hong, J. C., & Tai, K. H. (2018). The effects of metacognition on online learning interest and continuance to learn with MOOCs. Computers and Education, 121, 18–29. https://doi.org/10.1016/j.compedu.2018.02.011
  • Tucker-Drob, E. M., & Briley, D. A. (2012). Socioeconomic status modifies interest-knowledge associations among adolescents. Personality and Individual Differences, 53(1), 9–15. https://doi.org/10.1016/j.paid.2012.02.004
  • 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. https://doi.org/10.1287/isre.11.4.342.11872
  • Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organizational Behavior and Human Decision Processes, 83(1), 33–60. https://doi.org/10.1006/obhd.2000.2896
  • Watjatrakul, B. (2020). Intention to adopt online learning: The effects of perceived value and moderating roles of personality traits. The International Journal of Information and Learning Technology, 37(1-2), 46–65. https://doi.org/10.1108/IJILT-03-2019-0040
  • Weber, K., Martin, M., & Patterson, B. (2001). Teacher behavior, student interest and affective learning: Putting theory to practice. Journal of Applied Communication Research, 29(1), 71–90. https://doi.org/10.1080/00909880128101
  • Widyasari, Y. D. L., Nugroho, L. E. & Permanasari, A. E. (2019). Persuasive technology for enhanced learning behavior in higher education. International Journal of Educational Technology in Higher Education, 16(1), 1–16. https://doi.org/10.1186/s41239-019-0142-5
  • Wyant, J., & Baek, J. H. (2019). Re-thinking technology adoption in physical education. Curriculum Studies in Health and Physical Education, 10(1), 3–17. https://doi.org/10.1080/25742981.2018.1514983
  • Yadav, S. K., & Joseph, D. (2020). Prioritising critical failure factors for the adoption of ERP system using TOPSIS method. International Journal of Operational Research, 39(2), 145–159. https://doi.org/10.1504/IJOR.2020.109753
  • Zhang, L., Wen, H., Li, D., Fu, Z., & Cui, S. (2010). E-learning adoption intention and its key influence factors based on innovation adoption theory. Mathematical and Computer Modelling, 51(11-12), 1428–1432. https://doi.org/10.1016/j.mcm.2009.11.013
  • Zheng, J., & Li, S. (2020). What drives students’ intention to use tablet computers: An extended technology acceptance model. International Journal of Educational Research, 102, article number 101612. https://doi.org/10.1016/j.ijer.2020.101612

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