Technology Adoption Model on Higher Education Learning Environments

Dyah Sugandini, Yuni Istanto, Garaika Garaika, Rahajeng Arundati, Rava Fernanda Purnama

Abstract


This study examines technology adoption in higher education university learning environments in the Special Region of Yogyakarta. The object of this research is the e-learning system innovation in universities in the Yogyakarta region. This study focuses on the individual internal characteristics that influence e-learning adoption. This research's internal factors are user motivation, perceived Ease of use, trust, and technology readiness. This survey is a type of survey in university students, analyzing the adoption of e-learning technology using student respondents. While the method used is quantitative. This survey uses a questionnaire as a tool to collect data. The number of samples in this study is 150 students. Analyze the data using a structural model with Partial Least Square. This research indicates that the e-learning adoption model in the university environment, influenced by trust, motivation, perceived ease of use, and perceived technology readiness, is acceptable. The results of this study indicate that all proposed hypotheses can be accepted.


Full Text:

PDF

References


Abrahams, D. (2010). Technology Adoption in Higher Education: A Framework for Identifying and Prioritising Issues and Barriers to Adoption of Instructional Technology. Journal of Applied Research in Higher Education. Volume 2. Number 2, pp. 33–50.

Achieng, D. O., & Jagero, J. A. (2014). Management Support in Adoption of Computer Integrated Model in Financial Forecasting International. Journal of Academic Research in Accounting, Finance and Management Sciences. Vol.4, No.2, April, pp. 166–175E. http://dx.doi.org/10.6007/IJARAFMS/v4- i2/837

Adiyarta, K., Napitupulu, D., Rahim, R., Abdullah, D., & Setiawan, M. I. (2018). Analysis of e-learning implementation readiness based on integrated E.L.R. model. Journal of Physics: Conference Series. Vol. 1007, https://iopscience.iop.org/article/10.1088/1742-6596/1007/1/012041

Alhabeeb, A., & Rowley, J. (2018). E-learning critical success factors: Comparing perspectives from academic staff and students. Computers and Education, 127, 1–12. https://doi.org/10.1016/j.compedu.2018.08.007

Almajali, D., & Al-Lozi, M. (2016). Determinants of the Actual Use of E-Learning Systems: An Empirical Study on Zarqa University in Jordan. Journal of Social Sciences. Vol. 5 (2), 1-29. DOI: https://doi.org/10.25255/jss.2016.5.2.172.200

Alone, K. (2017). Adoption of E-Learning Technologies in Education Institutions/Organizations: A Literature Review. Asian Journal of Educational Research Research. Vol. 5, No. 4, pp. 63-71. http://www.multidisciplinaryjournals.com/

Alsaad, A., Mohamad, R., & Ismail, N. A. (2017). The moderating role of trust in business-to-business electronic commerce (B2B E.C.) adoption. Computers in Human Behavior. Vol.68, pp. 157–169. https://doi.org/10.1016/J.CHB.2016.11.040

Ansong, E., Boateng, S. L., & Boateng, R. (2017). Determinants of E-Learning Adoption in Universities: Evidence from a Developing Country. Journal of Educational Technology Systems. Vol. 46. Issue 1. https://doi.org/10.1177/0047239516671520

Ariani, A. F., Napitupulu, D., Jati, R. K., Kadar, J. A., & Syafrullah, M. (2018, April). Testing of technology readiness index model based on exploratory factor analysis approach. Journal of Physics: Conference Series, 1007(1), 1-8. https://doi.org/10.1088/1742-6596/1007/1/012043

Cantabella, M., Lopez, B., Cabellero, A., & Munoz, A. (2018). Analysis and evaluation of lecturers' activity in learning management systems: Subjective and objective perceptions. Interactive Learning Environments. Vol. 26(7), 911–923. https://doi.org/10.1080/10494820.2017.1421561

Chen, Y., Lou, Hao., & Luo, Wenhong. (2016). Distance Learning Technology Adoption: A Motivation Perspective. Journal of Computer Information Systems. Vol 42. Issue 2, pp. 38-43. https://www.tandfonline.com/doi/abs/10.1080/08874417.2002. 11647485

Chen, Yining., Harold T. Little Jr., Mark T., Ross, and Qin Zhao. (2012). Development and evaluation of a Web 2.0 annotation system as a learning tool in an e-learning environment. Computers & Education. Vol. 58 (2012) 1094–1105. https://doi.org/10.1016/j.compedu.2011.12.017

Creswell, J. W., & Clark, V. L. P. (2017). Designing and Conducting Mixed Methods Research. Nov. Publisher SAGE Publications Inc. Thousand Oaks, United States

Davis, F. D. (1989). Perceived usefulness, perceived Ease of use, and user acceptance. M.I.S. Quarterly, 13(3), 319-340. DOI:10.2307/249008

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 (U.T.A.U.T.): Towards a Revised Theoretical Model. Information Systems Frontiers, pp. 1–16. https://doi.org/10.1007/s10796-017-9774-y

El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and U.S.A.: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Development. Vol. 65(3), pp.1–21. https://doi.org/10.1007/s11423-016-9508-8.

El-Seoud, S. M. A., Taj-Eddin, I.A.T.F., Seddiek, V., El-Khouly, M. M., & Ann-Nosseir. "E-Learning and Students' Motivation: A Research Study on the Effect of E-Learning on Higher Education". International Journal of Emerging Technologies in Learning (iJET). Vol 9, No 4 http://dx.doi.org/10.3991/ijet.v9i4.3465

García-Martín, J., & García-S´anchez, J. N. (2018). The instructional effectiveness of two virtual approaches: Processes and product. Revista de Psicodid´actica, 23(2), 117–127. https://doi.org/10.1016/j.psicoe.2018.02.003

Gunuc, S., & Kuzu, A. (2015). Confirmation of campus-class-technology model in student engagement: A path analysis. Computers in Human Behavior, 48, 114–125. https://doi.org/10.1016/j.chb.2015.01.041

Hair, J. F., Jr., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). 2ed. Sage Publications.

Hoehle, H., Zhang, X., & Venkatesh, V. (2015). An espoused cultural perspective to understand continued intention to use mobile applications: a four-country study of mobile social media application usability. European Journal of Information Systems, 24(3), 337–359. https://doi.org/10.1057/ejis.2014.43

Kanwal, F., & Rehman, M. (2017). Factors Affecting E-Learning Adoption in Developing Countries–Empirical Evidence from Pakistan's Higher Education Sector. IEEE Access. Vol. 5. June. DOI: 10.1109/ACCESS.2017.2714379

Kattoua, Tagreed., Al-Lozi, Musa., & Alrowwad, Ala'aldin (2016). A Review of Literature on E-Learning Systems in Higher Education. International Journal of Business Management and Economic Research (I.J.B.M.E.R.), Vol 7(5),2016, 754-762. https://www.semanticscholar.org/

Kerby, M., Branham, K., & Mallinger, G. (2014). Consumer-based higher education: the uncaring of learning. Journal of Higher Education Theory and Practice. Vol. 14 No. 5, pp. 42-54, available at: www.na-businesspress.com/JHETP/KerbyMB_Web14_5_.pdf

Khechine, H., Raymond, B., & Augier, M. (2020). The adoption of social learning system: Intrinsic value in the U.T.A.U.T. model. British Journal of Educational Technology. Vol 51, Issue 6. Pages: 1901-2591. https://doi.org/10.1111/bjet.12905

Kisanga, D., & Ireson, G. (2015). Barriers and Strategies on Adoption of E-Learning in Tanzanian Higher Learning Institutions: Lessons for Adopters. International Journal of Education and Development Using Information and Communication Technology, 11(2), 126–137.

Lacka, E., Wong, T. C., & Haddoud, M. Y. (2021). Can digital technologies improve students' efficiency? Exploring the role of Virtual Learning Environment and Social Media use in Higher Education. Computers & Education, 163, 104099. https://doi.org/10.1016/J.COMPEDU.2020.104099

Lai, M. L. (2008). Technology readiness, internet self-efficacy, and computing experience of professional accounting students. Campus-Wide Information Systems, 25(1), 18-29. https://doi.org/10.1108/10650740810849061

Lekopanye, C.M., and Mogwe, A, (2014). Information Communication Technology Adoption in higher education sector of Botswana: a case study of Botho University. I.J.A.C.S.A., 5(8). DOI:10.14569/IJACSA.2014.050822

Ling, L. M., & Moi, C, M. (2007). Professional students' technology readiness, prior computing experience, and acceptance of an e-Learning System. Malaysian Accounting Review, 2007 6(1): p. 85-99. http://dx.doi.org/10.24191/mar.v6i1.505

Markus, B., & Cheng, W. (2020). "Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage". Journal of the Academy of Marketing Science; New York Vol. 48, Iss. 4, (Jul 2020): 649-669. DOI:10.1007/s11747-019-00680-8

Martins, J.T. and Baptista Nunes, M. (2016). Academics' e-learning adoption in higher education institutions: a matter of trust. The Learning Organization, Vol. 23 No. 5, pp. 299-331. https://doi.org/10.1108/TLO-05-2015-0034

Mehta, A., Morris, N. P., Swinnerton, B., & Homer, M. (2019). The Influence of Values on e-Learning Adoption. Computers and Education. Vol 141, November, 103617. https://doi.org/10.1016/j.compedu.2019.103617

O.E.C.D. (2014). Measuring Innovation in Education: A New Perspective, O.E.C.D. Publishing. Paris, available at: http://dx.doi.org/10.1787/9789264215696-en

Parasuraman, A., & Colby, C. (2015). An updated and streamlined technology readiness index: TRI 2.0. Journal of Service Research, 18(1), 59-74. https://doi.org/10.1177/1094670514539730.

Pham, L., Limbu, Y. B., Trung, K. B., Nguyen, H. T., & Pham, H. T. (2019). Does e-learning service quality influence e-learning student satisfaction and loyalty? Evidence from Vietnam. International Journal of Educational Technology in Higher Education. Vol 16, 7 (https://doi.org/10.1186/s41239-019-0136-3

Rafique, G. M., Mahmood, K., Warraich, N. F., & Rehman, S. U. (2021). Readiness for Online Learning during COVID-19 pandemic: A survey of Pakistani L.I.S. students. The Journal of Academic Librarianship. Vol. 47(3), 102346. https://doi.org/10.1016/J.ACALIB.2021.102346

Rogers, E. M. (2003). Diffusion of innovations (5th ed). New York: The Free Press.

Rogers, E. M., Medina, U. E., Rivera, M. A., & Wiley, C. J. (2005). Complex adaptive systems and the diffusion of innovations. The Innovation Journal, 10(3). Article 29.

Sabelli, N. H., & Harris, C. J. (2015). The role of innovation in scaling up educational innovations. In C.K. Looi& L. W. Teh (Eds.). Scaling educational innovations (pp. 13- 30). Singapore: Springer.

Serdyukov, P. (2017). Innovation in education: what works, what doesn't, and what to do about it? Journal of Research in Innovative Teaching & Learning. Vol. 10 No. 1, pp. 4-33. https://doi.org/10.1108/JRIT-10-2016-0007.

Sugandini D., Purwoko., Pambudi, A., Resmi, S., Reniati., Muafi., and Kusumawati, R. A. (2018a). The Role of Uncertainty, Perceived Ease of Use, and Perceived Usefulness Towards the Technology Adoption. International Journal of Civil Engineering and Technology. Vol 9, Issue 4, p. 660-669.

Sugandini, D., Feriyanto, N., Muafi., Hadioetomo & Darpito, S.H. (2018b). The Influence of Novelty Seeking Behavior and Autonomy Toward New Product Trial in The Context of E-Business Learning: The Role of Mediation of Perceived Behavioral Control. Journal of Entrepreneurship Education. Vol. 21, Issue 3, pp: 1-9.

Tang, Y. M., Chen, P. C., Law, K. M. Y., Wu, C. H., Lau, Y. yip, Guan, J., He, D., & Ho, G. T. S. (2021). Comparative analysis of Student’s live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector. Computers & Education, 168, 104211. https://doi.org/10.1016/J.COMPEDU.2021.104211

Tarhini, A., Hone, K., Liu, X., & Tarhini, T. (2017). Examining the moderating effect of individual-level cultural values on users' acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model. Interactive Learning Environments, Volume. 25 (3). https://doi.org/10.1080/10494820-.2015.1122635

Yilmaz, R. (2017). Exploring the role of e-learning readiness on student satisfaction and motivation in flipped classroom. Computers in Human Behavior, 70, 251–260. https://doi.org/10.1016/J.CHB.2016.12.085

Zhu, M., Sari, A., & Lee, M. M. (2018). A systematic review of research methods and topics of the empirical MOOC literature (2014–2016). Internet and Higher Education, 37(January), 31–39. https://doi.org/10.1016/j.iheduc.2018.01.002




DOI: https://doi.org/10.32535/jicp.v4i3.1391

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Dyah Sugandini, Yuni Istanto, Garaika Garaika, Rahajeng Arundati, Rava Fernanda Purnama

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Flag Counter

Published by:

AIBPM Publisher

Editorial Office:

JL. Kahuripan No. 9 Hotel Sahid Montana, Malang, Indonesia
Phone:+62 341 366222
Email: journal.jicp@gmail.com
Website:http://ejournal.aibpmjournals.com/index.php/JICP

Supported by: Association of International Business & Professional Management

If you are interested to get the journal subscription you can contact us at admin@aibpm.org.

ISSN 2622-0989 (Print)
ISSN 2621-993X (Online)

DOI:Prefix 10.32535 by CrossREF

Journal of International Conference Proceedings (JICP) INDEXED:

 

In Process


This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.