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Abstract
Distance learning has become the only solution for learning in the current Covid-19 pandemic outbreak. A more straightforward form of distance learning with the utilization of telepresence and cloud-based productivity tools was apparent in many institutions. The present study investigated this phenomenon and ask, “What factors affect students’ acceptance of distance learning during school closures due to COVID-19?”. An extended Unified Theory of Acceptance and Use of Technology was employed to answer the research question, with 156 students participating in the study. The result revealed that Effort Expectancy (EE) has the biggest effect on students’ acceptance of distance learning during school closures (β=0.372, p<0.001). Additionally, the extended variable of Socia l Presence (SP) was also showing great effects on students' acceptance (β=0.296, p<0.001). However, one of the UTAUT constructs, Facilitating Conditions, was found to have no effect on students' acceptance. Practical implications for schools and distance learning program managers were discussed to provide insight on improving a distance learning program. This study contributes to the body of knowledge on learning technologies as well as on how society, especially in the educational sector, should continue despite the current pandemic crisis.
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References
- ADNAN, M. & ANWAR, K. 2020. Online Learning amid the COVID-19 Pandemic: Students' Perspectives. Online Submission, 2, 45-51. doi: 10.33902/JPSP.2020261309
- ALLEN, M., MABRY, E., MATTREY, M., BOURHIS, J., TITSWORTH, S. & BURRELL, N. 2004. Evaluating the effectiveness of distance learning: A comparison using meta‐analysis. Journal of communication, 54, 402-420. doi: 10.1111/j.1460-2466.2004.tb02636.x
- ALSHEHRI, A., RUTTER, M. J., & SMITH, S. (2019). An implementation of the UTAUT model for understanding students' perceptions of learning management systems: A study within tertiary institutions in Saudi Arabia. International Journal of Distance Education Technologies (IJDET), 17(3), 1-24. doi: 10.4018/IJDET.2019070101
- AMENDOLA, D., & MICELI, C. (2016). Online Physics laboratory for University courses. Journal of E-Learning and Knowledge Society, 12(3). doi: 10.20368/1971-8829/1165
- AMIR, L., TANTI, I., MAHARANI, D. A., WIMARDHANI, Y., JULIA, V., SULIJAYA, B. & PUSPITAWATI, R. 2020. Student Perspective Of Classroom And Distance Learning Method During Covid-19 Pandemic In The Undergraduate Dental Study Program. doi: 10.21203/rs.3.rs-42334/v1
- ANASTASIADES, P. S., FILIPPOUSIS, G., KARVUNIS, L., SIAKAS, S., TOMAZINAKIS, A., GIZA, P. & MASTORAKI, H. 2010. Interactive Videoconferencing for collaborative learning at a distance in the school of 21st century: A case study in elementary schools in Greece. Computers & Education, 54, 321-339. doi: 10.1016/j.compedu.2009.08.016
- ANDREWS, T. & TYNAN, B. 2012. Distance learners: Connected, mobile and resourceful individuals. Australasian Journal of Educational Technology, 28. doi: 10.14742/ajet.828
- BASILAIA, G., DGEBUADZE, M., KANTARIA, M. & CHOKHONELIDZE, G. 2020. Replacing the Classic Learning Form at Universities as an Immediate Response to the COVID-19 Virus Infection in Georgia. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 8, 101-8. doi: 10.22214/ijraset.2020.3021
- BEYTH-MAROM, R., CHAJUT, E., ROCCAS, S. & SAGIV, L. 2003. Internet-assisted versus traditional distance learning environments: factors affecting students' preferences. Computers & Education, 41, 65-76. doi: 10.1016/S0360-1315(03)00026-5
- BIRCH, A. & IRVINE, V. 2009. Preservice teachers' acceptance of ICT integration in the classroom: applying the UTAUT model. Educational media international, 46, 295-315. doi: 10.1080/09523980903387506
- BOS, B., WILDER, L., COOK, M. & O'DONNELL, R. 2014. Learning mathematics through Minecraft. Teaching Children Mathematics, 21, 56-59. doi: 10.5951/teacchilmath.21.1.0056
- BUI, T.-H., LUONG, D.-H., NGUYEN, X.-A., NGUYEN, H.-L. & NGO, T.-T. 2020. Impact of female students' perceptions on behavioral intention to use video conferencing tools in COVID-19: Data of Vietnam. Data in Brief, 106142. doi: 10.1016/j.dib.2020.106142
- CAI, J., YANG, H. H. & GONG, D. Understanding Undergraduates' Adoption of Flipped Learning: Integrating UTAUT and Social Presence. International Conference on Blended Learning, 2019. Springer, 9-21. doi: 10.1007/978-3-030-21562-0_2
- CHAU, M. 2008. The effects of electronic books designed for children in education.
- CHAWLA, A. 2020. Coronavirus (COVID-19)-'Zoom'Application Boon or Bane. Available at SSRN 3606716. doi: 10.2139/ssrn.3606716
- CHICK, R. C., CLIFTON, G. T., PEACE, K. M., PROPPER, B. W., HALE, D. F., ALSEIDI, A. A. & VREELAND, T. J. 2020. Using technology to maintain the education of residents during the COVID-19 pandemic. Journal of Surgical Education. doi: 10.1016/j.jsurg.2020.03.018
- CHURIYAH, M., SHOLIKHAN, S., FILIANTI, F. & SAKDIYYAH, D. A. 2020. Indonesia Education Readiness Conducting Distance Learning in Covid-19 Pandemic Situation. International Journal of Multicultural and Multireligious Understanding, 7, 491-507. doi: 10.18415/ijmmu.v7i6.1833
- CINQUE, M., & PENSIERI, C. (2009). Campus We-Com. University students attitude towards didactical innovation. Journal of e-learning and knowledge society, 5(1), 181-189. Doi: 10.20368/1971-8829/305
- COOPER, D. R., SCHINDLER, P. S., & SUN, J. (2006). Business research methods (Vol. 9, pp. 1-744). New York: Mcgraw-hill.
- CUSHMAN & WAKEFIELD 2020. GLOBAL ECONOMY REOPENING TRACKER 11 August, 2020.
- DIETRICH, N., KENTHESWARAN, K., AHMADI, A., TEYCHENÉ, J., BESSIÈRE, Y., ALFENORE, S., LABORIE, S. P., BASTOUL, D., LOUBIÈRE, K. & GUIGUI, C. 2020. Attempts, Successes, and Failures of Distance Learning in the Time of COVID-19. Journal of Chemical Education. doi: 10.1021/acs.jchemed.0c00717
- FORNELL, C. & LARCKER, D. F. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18, 39-50. doi: 10.1177/002224378101800104
- GARRISON, D. R., CLEVELAND-INNES, M. & FUNG, T. S. 2010. Exploring causal relationships among teaching, cognitive and social presence: Student perceptions of the community of inquiry framework. The Internet and higher education, 13, 31-36. doi: 10.1016/j.iheduc.2009.10.002
- GON, S. & RAWEKAR, A. 2017. Effectivity of E-learning through Whatsapp as a teaching learning tool. MVP Journal of Medical Science, 4, 19-25. doi: 10.18311/mvpjms/0/v0/i0/8454
- Google. (2020). Zoom School - Explore - Google Trends. https://trends.google.com/trends/explore?q=zoom%20school
- GUNAWARDENA, C. N. & ZITTLE, F. J. 1997. Social presence as a predictor of satisfaction within a computer‐mediated conferencing environment. American journal of distance education, 11, 8-26. doi: 10.1080/08923649709526970
- HANNAY, M. & NEWVINE, T. 2006. Perceptions of distance learning: A comparison of online and traditional learning. Journal of Online Learning and Teaching, 2, 1-11.
- HEAD, M. & ZIOLKOWSKI, N. 2012. Understanding student attitudes of mobile phone features: Rethinking adoption through conjoint, cluster and SEM analyses. Computers in Human Behavior, 28, 2331-2339. doi: 10.1016/j.chb.2012.07.003
- HEERINK, M., KRÖSE, B., EVERS, V. & WIELINGA, B. 2008. The influence of social presence on acceptance of a companion robot by older people. doi: 10.14198/JoPha.2008.2.2.05
- HOOPER, D., COUGHLAN, J. & MULLEN, M. R. 2008. Structural equation modelling: Guidelines for determining model fit. Electronic journal of business research methods, 6, 53-60.
- HORNBÆK, K. & HERTZUM, M. 2017. Technology acceptance and user experience: A review of the experiential component in HCI. ACM Transactions on Computer-Human Interaction (TOCHI), 24, 1-30. doi: 10.1145/3127358
- HOX, J. J. & BECHGER, T. M. 1998. An introduction to structural equation modeling.
- HSU, C.-L. & LIN, J. C.-C. 2008. Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & management, 45, 65-74. doi: 10.1016/j.im.2007.11.001
- HUANG, R., TLILI, A., CHANG, T.-W., ZHANG, X., NASCIMBENI, F. & BURGOS, D. 2020. Disrupted classes, undisrupted learning during COVID-19 outbreak in China: application of open educational practices and resources. Smart Learning Environments, 7, 1-15. doi: 10.1186/s40561-020-00125-8
- KETTLES, N. & VAN BELLE, J.-P. Investigation into the antecedents of autonomous car acceptance using an enhanced UTAUT model. 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), 2019. IEEE, 1-6. doi: 10.1109/ICABCD.2019.8851011
- KHECHINE, H., LAKHAL, S., PASCOT, D. & BYTHA, A. 2014. UTAUT model for blended learning: The role of gender and age in the intention to use webinars. Interdisciplinary Journal of E-Learning and Learning Objects, 10, 33-52. doi: 10.28945/1994
- KONDRATOVA, L. 2020. The organization of distance learning of music teachers in the conditions of postgraduate education reforming. ScienceRise: Pedagogical Education, 45-49. doi: 10.15587/2519-4984.2020.207401
- LAKHAL, S., KHECHINE, H. & PASCOT, D. 2013. Student behavioural intentions to use desktop video conferencing in a distance course: integration of autonomy to the UTAUT model. Journal of Computing in Higher Education, 25, 93-121. doi: 10.1007/s12528-013-9069-3
- LEWIS, E. E., TAYLOR, L. J., HERMSEN, J. L., MCCARTHY, D. P. & FIEDLER, A. G. 2020. Cardiothoracic education in the time of COVID-19: how I teach it. The Annals of thoracic surgery, 110, 362-363. doi: 10.1016/j.athoracsur.2020.04.002
- MARCHEWKA, J. T. & KOSTIWA, K. 2007. An application of the UTAUT model for understanding student perceptions using course management software. Communications of the IIMA, 7, 10.
- MAVROIDIS, I., KARATRANTOU, A., KOUTSOUBA, M., GIOSSOS, Y. & PAPADAKIS, S. 2013. Technology Acceptance and Social Presence in Distance Education--A Case Study on the Use of Teleconference at a Postgraduate Course of the Hellenic Open University. European Journal of Open, Distance and E-learning, 16, 76-96.
- MEMON, M. A., TING, H., RAMAYAH, T., CHUAH, F., & CHEAH, J. H. (2017). A review of the methodological misconceptions and guidelines related to the application of structural equation modeling: A Malaysian scenario. Journal of applied structural equation modeling, 1(1), 1-13.
- MUN, Y. Y. & HWANG, Y. 2003. Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International journal of human-computer studies, 59, 431-449. doi: 10.1016/S1071-5819(03)00114-9
- NOWAK, K. L. & BIOCCA, F. 2003. The effect of the agency and anthropomorphism on users' sense of telepresence, copresence, and social presence in virtual environments. Presence: Teleoperators & Virtual Environments, 12, 481-494. doi: 10.1162/105474603322761289
- OH, S., LEHTO, X. Y. & PARK, J. 2009. Travelers' intent to use mobile technologies as a function of effort and performance expectancy. Journal of Hospitality Marketing & Management, 18, 765-781. doi: 10.1080/19368620903235795
- PERSADA, S. F., MIRAJA, B. A., & NADLIFATIN, R. (2019). Understanding the Generation Z Behavior on D-Learning: A Unified Theory of Acceptance and Use of Technology (UTAUT) Approach. International Journal of Emerging Technologies in Learning, 14(5).
- RAMAN, A., DON, Y., KHALID, R. & RIZUAN, M. 2014. Usage of learning management system (Moodle) among postgraduate students: UTAUT model. Asian Social Science, 10, 186-192. doi: 10.5539/ass.v10n14p186
- SALLOUM, S. A. & SHAALAN, K. Factors affecting students' acceptance of e-learning system in higher education using UTAUT and structural equation modeling approaches. International Conference on Advanced Intelligent Systems and Informatics, 2018. Springer, 469-480. doi: 10.1007/978-3-319-99010-1_43
- SANDARS, J., CORREIA, R., DANKBAAR, M., DE JONG, P., GOH, P. S., HEGE, I., MASTERS, K., OH, S.-Y., PATEL, R. & PREMKUMAR, K. 2020. Twelve tips for rapidly migrating to online learning during the COVID-19 pandemic. MedEdPublish, 9. doi: 10.15694/mep.2020.000082.1
- SEXTON, J., HOLZMUELLER, C., PRONOVOST, P., THOMAS, E., MCFERRAN, S., NUNES, J., THOMPSON, D., KNIGHT, A., PENNING, D. & FOX, H. 2006. Variation in caregiver perceptions of teamwork climate in labor and delivery units. Journal of perinatology, 26, 463-470. doi: 10.1038/sj.jp.7211556
- SEYAL, A. H., RAHMAN, M. N. A. & RAHIM, M. M. 2002. Determinants of academic use of the Internet: a structural equation model. Behaviour & Information Technology, 21, 71-86. doi: 10.1080/01449290210123354
- SHEN, J. 2012. Social comparison, social presence, and enjoyment in the acceptance of social shopping websites. Journal of Electronic Commerce Research, 13, 198.
- SHI, W. An empirical research on users' acceptance of smart phone online application software. 2009 International Conference on Electronic Commerce and Business Intelligence, 2009. IEEE, 106-110. doi: 10.1109/ECBI.2009.102
- SMITH, J. 2006. The effect of social presence on teacher technology acceptance, continuance intention, and performance in an online teacher professional development course.
- STONE, R. W., GOOD, D. J. & BAKER-EVELETH, L. 2007. The impact of information technology on individual and firm marketing performance. Behaviour & Information Technology, 26, 465-482. doi: 10.1080/01449290600571610
- Stonebraker, P. W., & Hazeltine, J. E. (2004). Virtual learning effectiveness. The Learning Organization.
- TABER, K. S. 2018. The use of Cronbach's alpha when developing and reporting research instruments in science education. Research in Science Education, 48, 1273-1296. doi: 10.1007/s11165-016-9602-2
- TAN, P. J. B. 2013a. Applying the UTAUT to understand factors affecting the use of English e-learning websites in Taiwan. Sage Open, 3, 2158244013503837. doi: 10.1177/2158244013503837
- TAN, P. J. B. 2013b. Students' adoptions and attitudes towards electronic placement tests: A UTAUT analysis. American Journal of Computer Technology and Application, 1, 14-23.
- TEO, T. 2014. Unpacking teachers' acceptance of technology: Tests of measurement invariance and latent mean differences. Computers & Education, 75, 127-135. doi: 10.1016/j.compedu.2014.01.014
- TERÄS, M., SUORANTA, J., TERÄS, H. & CURCHER, M. 2020. Post-Covid-19 Education and Education Technology 'Solutionism': a Seller's Market. Postdigital Science and Education, 1-16. doi: 10.1007/s42438-020-00164-x
- THOMAS, T., SINGH, L. & GAFFAR, K. 2013. The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. International Journal of Education and Development using ICT, 9.
- TSAI, S. & MACHADO, P. 2002. E-Learning Basics: Essay: E-learning, online learning, web-based learning, or distance learning: unveiling the ambiguity in current terminology. eLearn, 2002, 3. doi: 10.1145/566778.568597
- TURK, V. 2020. Zoom took over the world. This is what will happen next. Wired UK.
- UNESCO. 2020. COVID-19 Impact on Education [Online]. Available: https://en.unesco.org/covid19/educationresponse [Accessed 13 August 2020].
- VARALAKSHMI, R. & ARUNACHALAM, K. 2020. COVID 2019-ROLE OF FACULTY MEMBERS TO KEEP MENTAL ACTIVENESS OF STUDENTS. Asian Journal of Psychiatry, 51, 102091. doi: 10.1016/j.ajp.2020.102091
- 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. doi: 10.2307/30036540
- WANG, C.-H., LIU, W.-L., TSENG, M.-C. & TSAI, H.-S. 2010. A Study of Taiwanese College Teachers' Acceptance of Distance Learning. International Journal of Organizational Innovation, 3.
- WONG, K.-T., TEO, T. & RUSSO, S. 2013. Interactive whiteboard acceptance: Applicability of the UTAUT model to student teachers. The Asia-Pacific Education Researcher, 22, 1-10. doi: 10.1007/s40299-012-0001-9
- WORLD HEALTH ORGANIZATION 2020. Coronavirus disease 2019 (COVID-19): situation report, 204.