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The influence of interaction, learner characteristics, perceived usefulness, and perceived satisfaction on continuance intention in e-learning system

Andrianto Widjaja ORCID ↗ · Yosua Giovanni Widjaja

International Journal of Research in Business and Social Science · 2022 · Vol. 11 / Issue 2 · 381-390

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Overview

Abstract

Communication and information technology have encouraged the use of e-learning systems in the education world. Even the application of the system has become a must in this COVID-19 pandemic health protocol. Nevertheless, it still needs to be observed, whether the consumers would keep using the e-learning system in the future. This study aims to see the effect of interaction variables and learner characteristic toward perceived usefulness and perceived satisfaction on e-learning system that has been used, with the effect of continuance intention toward the system in the future. To answer the purpose of this study, there is a research model has been developed which includes seven hypotheses. For the research object, the researcher chose non-government-owned colleges in Jakarta with the students as the sample chosen by purposive sampling technique. The result of this research shows those seven hypotheses accepted with the significant level at 1%, as well as 5%. It means each of the interaction variables and learning characteristics significantly direct and indirect influence the perceived satisfaction variable as well as the perceived usefulness variable. Moreover, it is proven that perceived usefulness is a significant determinant toward perceived satisfaction, even both of them significantly direct influence continuance intention at e-learning system that has been used.

Keywords: {'name': 'Interactioin'}, {'name': 'Learner Characteristics'}, {'name': 'Perceived Usefullness'}, {'name': 'Perceived Satisfaction'}, {'name': 'Countinuance Intention'}, {'name': 'E-Learning'}

Authors & affiliations

Andrianto Widjaja
Affiliation not supplied

Yosua Giovanni Widjaja
Affiliation not supplied

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Abdullah, D., Norhayati, S., & Bahari, K. A. (2017). The Effects of Perceived Interactivity, Perceived Ease of Use and Perceived Usefulness on Online Hotel Booking Intention: A Conceptual Framework. International Academic. Research Journal of Social Science, 3(1), 16-23.

Aktan, F., Cilesiz, S., & Macbeth, D. (2010). The Effects of Learner Characteristics on Satisfaction in Distance Education. A Thesis. The Degree Master of Arts in the Graduate School of the Ohio State University.

DOI: 10.1177/0162643416681497

Alhumaid, K., Ali, S., Waheed, A., Zahid, E., & Habes, M. (2020). Multicultural Education COVID-19 &Elearning: Perceptions &Attitudes Of Teachers Towards E-Learning Acceptancein The Developing Countries. 6(2), 2020. https://doi.org/10.5281/zenodo.4060121

DOI: 10.3389/feduc.2021.677753

DOI: 10.1108/NBRI-01-2014-0005

DOI: 10.2991/assehr.k.210202.092

DOI: 10.1080/10494820.2020.1734028

DOI: 10.1504/IJIL.2019.10021086

DOI: 10.20448/journal.509.2020.73.285.292

DOI: 10.1108/AEDS-09-2020-0209

Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice Hall.

DOI: 10.5539/ijms.v7n4p121

DOI: 10.2307/3250921

DOI: 10.1016/j.techsoc.2019.101209

Brusilovsky, P. (2001). Adaptive Hypermedia.

DOI: 10.3390/healthcare8030200

DOI: 10.1108/IJWIS-05-2013-0015

DOI: 10.1016/j.compedu.2009.12.011

DOI: 10.34105/j.kmel.2019.11.010

DOI: 10.2307/249008

DOI: 10.1111/j.1540-4609.2006.00114.x

Goh, C. F., Leong, C. M., Kasmin, K., Hii, P. K., & Tan, O. K. (2017). Students’ experiences, learning outcomes and satisfaction in e-learning. Journal of E-Learning and Knowledge Society, 13(2), 117–128. https://doi.org/10.20368/1971-8829/1298

DOI: 10.1016/j.jbi.2016.03.021

DOI: 10.1016/S2212-5671(16)00079-4

DOI: 10.1037/t80348-000

DOI: 10.1080/08923649409526853

DOI: 10.1016/j.compedu.2012.12.004

DOI: 10.1016/j.elerap.2014.11.003

DOI: 10.4324/9780203062432-6

Huang, M. R. (2008). Factors Influencing Self-directed Learning Readiness amongst Taiwanese Nursing Students Statement of Original Authorship.

DOI: 10.1080/0144929X.2018.1436594

Junjie, Z. (2017). Exploring the factors affecting learners’ continuance intention of MOOCs for online collaborative learning: An extended ECM perspective. In Australasian Journal of Educational Technology (Issue 5).

Ke, C.-H., Sun, H.-M., & Yang, Y.-C. (2012). Effects of user and system characteristics on perceived usefulness and perceived ease of use for the web-based classroom response system. In TOJET: The Turkish Online Journal of Educational Technology, 11(3).

DOI: 10.1186/s40561-021-00149-8

DOI: 10.1016/j.compedu.2007.09.005

DOI: 10.1108/10662240310478222

DOI: 10.21512/bbr.v12i1.6293

DOI: 10.35445/alishlah.v13i1.536

DOI: 10.5334/2013-09

DOI: 10.1080/08923648909526659

DOI: 10.1088/1757-899X/588/1/012022

DOI: 10.22236/JER_Vol4Issue1pp8-25

DOI: 10.1166/jctn.2020.8831

Sher, A. (2009). Assessing the relationship of student-instructor and student-student interaction to student learning and satisfaction in Web-based Online Learning Environment. Journal of Interactive Online Learning Www.Ncolr.Org/Jiol, 8(2). www.ncolr.org/jiol

DOI: 10.1016/j.chb.2011.06.017

DOI: 10.3926/jotse.1025

Son, Y.-L., Kim, G.-S., & Cho, E.-H. (2018). A Study on Effects of Self-Directed Learning Ability and Self-efficacy on Learner Satisfaction in Nursing Students. Journal of Korean Clinical Health Science, 6(2), 1136–1146. https://doi.org/10.15205/kschs.2018.12.31.1136

DOI: 10.1007/s11412-014-9196-5

DOI: 10.1080/08923649409526852

DOI: 10.1016/j.heliyon.2019.e01788

Yalalova, J., & Li, Z. (2017). The Impact of Self-Ef?cacy on Career Satisfaction: Evidence from Russia. Publication at: https://www.researchgate.net/publication/.