Factors Related to the Continuance Intention Using E-Learning Based on Expectation Confirmation Model (ECM) for Postgraduate Students
Abstract
E-learning is a learning method based on information and communication technology (ICT). This learning method is a mandatory alternative during the Covid-19 pandemic. Since March 11, 2020 was declared a pandemic by WHO, the implementation of learning activities no longer takes place face-to-face. Online learning using e-learning brings a separate assessment to each student. This study aims to determine the factors associated with the continuance intention using e-learning. The population in this study are postgraduate students. The reason for choosing the sample because at this level some students have worked. Sample selection based on a simple random sampling method. Is e-learning an effective choice of learning method because it can be done remotely at their busy time. The study was conducted using the Expectation Confirmation Model approach (Bhattacherjee, 2001) using the constructs of perceived usefulness (PU), confirmation (Cf) and satisfaction (Sf) on continuance intention (CI). The data were collected through a questionnaire use google form. The data is analyzed using Moderated Regression Analysis and performed with SPSS program. The results showed that
Keywords: continuence intention; COVID-19; e-learning; expectation confirmation model (ECM)
Full Text:
PDFReferences
Ajzen, I. (1991). The Theory of Plan Behavior. Article in Organizational Behavior and Human Decision Processes: Doi: 10.1016/0749-5978(91)90020-T.
Bhattacherjee, A. (2001). Understanding Information Systems Continuance An Expectation-Confirmation Model. MIS Quarterly, 25, 351-370.
Chen, N., Lin, K., & Kinshuk, (2004). Assessment of e-learning satisfaction from critical incidents perspective. Proceedings of the 6th international Conference on Enterprise Information System. 27-34, ISBN:972-8865-00-7Sedana, I.G.N., Wijaya, S.W. (2010). UTAUT model for understanding learning management system. Internetworking Inodenesia J. 2, 27-32.
Dai, H.M, Teo, T., Rappa, N.A., Huang, F. (2020). Explaining Chinese University Students’ Continuance Learning Intention in the MOOC Setting: A Modified Expectation Confirmation Model Perspective. Elsevier: Computers & Education. 150 (2020) 103850.
Gilbert, S.M., Jones, M.G. (2001). E-learning is e-normous training over the internet has become the fastest-growing workplace performance improvement tool-and utilities are using it in several ways. Electr. Perspect. 66-85.
Lee, Ming-Che. (2010). Explaining and predicting users’ continuance intention toward e-learning: an extention of the expectation-confirmation model. Elsevier: Journal Computers & Education 54 (2010) 506-516.Loogma, K., Kruusvall, J., Umarik, M. (2012). E-Learning as innovation: Exploring innovativeness of the VET taechers’ community in Estonia. Comput. Educ. 58, 808-817.
Mahande, D. R., Jasruddin. (2018). UTAUT Model: Suatu Pendekatan Evaluasi Penerimaan E-Learning pada Program Pascasarjana. Doi:10.31227/osf.io/254j7
Oliver, Richard, L. (1980). A cognitive model of the antecedents and consequences of satisfaction decision. Journal of Marketing Research: Vol. 17, No. 4 (Nov., 1980), pp. 460-469.
Park, Eunil. (2020). User acceptance of smart wearable devices: an expectation-confirmation model approach. Elsevier: Journal Telematics and Informatics 47 (2020) 101318.
Roca, J., Chiub, C., and Martineneza, F. (2006). Understanding e-learning continuance intention: an extention of the technology acceptance model. Human-Computer Studies: (64) p. 683-696.
Sugiyono. (2019). Metode Penelitian Kuantitatif. Alfabeta. Bandung
Suliyanto. (2018). Metode Penelitian Bisnis. Andi Offset IKAPI. Yogyakarta.
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D. (2003). User acceptance of information technology: toward a unified view. MIS Q. 425-478.
Wang, Y. (2003). Assessment of learner satisfaction with asynchronous electronic learning systems. Information & Management: 41 (1), 75-86.
Wu, I. L, Chiu, M. L., Chen, K.W. (2020). Defining The Determinants Of Online Impulse Buying Through a Shopping Process of Integrating Perceived Risk, Expectation-Confirmation Model, And Flow Theory Issues. Elesevier: International Journal of Information Management.
Yulius, R. (2016). Efek moderasi kesukarelaan terhadap pembelajaran online pada Universitas Sahid Surakarta. J. Ipteks Terap. 10. Doi:10.22216/jit.2016.v10i4.534.
Refbacks
- There are currently no refbacks.