MEASURING STUDENT INTEREST IN CONTINUING DISTANCE LEARNING (PJJ) VIA OPEN LEARNING: MODEL EXPECTATION CONFIRMATION
Keywords:
continuance intention, e-learning, expectation confirmation model
Abstract
At the beginning of 2020, all countries in the world were hit by the Covid-19 Virus pandemic. This pandemic has prompted the government and numerous business sectors to adjust in carrying out their business activities. One sector that has experienced massive changes in this adjustment is the education sector in Indonesia. This research was conducted to find out how the impact of distance learning policies carried out by the government on student interest in continuing their education. The model used in this study is a confirmation expectation model. There are 240 respondents obtained in this study who are students of the Muhammadiyah University of East Kalimantan who actively use the Open Learning platform. The results of this study indicate that there are some variables that significantly affect student interest in continuing distance learning (PJJ) through the Open Learning platform.
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References
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[20] Wixom, B. H., & Todd, P. A. (2005b). A Theoretical Integration of User Satisfaction and Technology Acceptance. Information Systems Research, 16(1). https://doi.org/10.1287/isre.1050.0042
[2] Ajzen, I. (2001). Nature and Operations of Attitudes. 27–58.
[3] Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model Author(s): Anol Bhattacherjee Source. In MIS Quarterly (Vol. 25, Issue 3).
[4] Bhattacherjee, A. (2011). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly,25(3), 351–370.
[5] Chow, W. S., & Shi, S. (2014). Investigating Students’ Satisfaction and Continuance Intention toward E-learning: An Extension of the Expectation – Confirmation Model. Procedia - Social and Behavioral Sciences, 141, 1145–1149. https://doi.org/10.1016/j.sbspro.2014.05.193
[6] Cooper, D. R., Schindler, P. S., & Sun, J. (2014). Business research methods (Vol 9). In Business Research Methods (Issue 2000, p. 38). http://130.209.236.149/headocs/31businessresearch.pdf
[7] 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. Computers and Education, 150(January). https://doi.org/10.1016/j.compedu.2020.103850
[8] Ding, Y. (2019a). Looking forward: The role of hope in information system continuance. Computers in Human Behavior, 91, 127–137. https://doi.org/10.1016/j.chb.2018.09.002
[9] Ding, Y. (2019b). Looking forward: The role of hope in information system continuance. Computers in Human Behavior, 91. https://doi.org/10.1016/j.chb.2018.09.002
[10] Gruber, M. J., Gelman, B. D., & Ranganath, C. (2014). States of Curiosity Modulate Hippocampus-Dependent Learning via the Dopaminergic Circuit. Neuron, 84(2). https://doi.org/10.1016/j.neuron.2014.08.060
[11] Hair, Joseph F. , Black, Jr, William C. Babin, Barry J. & Anderson, R. E. (2014). Pearson - Multivariate Data Analysis, 7/E - Joseph F. Hair, Jr, William C. Black, Barry J. Babin & Rolph E. Anderson. Pearson New International Edition, 816.
[12] Lee, M. C. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation-confirmation model. Computers and Education, 54(2), 506–516. https://doi.org/10.1016/j.compedu.2009.09.002
[13] Muhtarom, A., Syairozi, I., & Wardani, N. D. (2022). Analisis Persepsi Harga, Kualitas Pelayanan, Customer Relationship Marketing, Dan Kepercayaan Terhadap Peningkatan Penjualan Dimediasi Loyalitas Pelanggan Pada Umkm Ayam Potong Online ELMONSU. Jesya (Jurnal Ekonomi dan Ekonomi Syariah), 5(1), 743-755.
[14] Oliver, R. L. (1980). A congitive model of the antecedents and consequences of satisfaction decisions. In Journal of Marketing Research (Vol. 17).
[15] Shapiro, H. B., Lee, C. H., Wyman Roth, N. E., Li, K., Çetinkaya-Rundel, M., & Canelas, D. A. (2017a). Understanding the massive open online course (MOOC) student experience: An examination of attitudes, motivations, and barriers. Computers and Education, 110, 35–50. https://doi.org/10.1016/j.compedu.2017.03.003
[16] Shapiro, H. B., Lee, C. H., Wyman Roth, N. E., Li, K., Çetinkaya-Rundel, M., & Canelas, D. A. (2017b). Understanding the massive open online course (MOOC) student experience: An examination of attitudes, motivations, and barriers. Computers & Education, 110. https://doi.org/10.1016/j.compedu.2017.03.003
[17] Syairozi, M. I. (2011). Analisis peranan sektor pertanian terhadap produk domestik regional bruto (PDRB) di kabupaten Malang (periode 2000-2008) (Doctoral dissertation, Universitas Negeri Malang).
[18] Thong, J. Y. L., Hong, S.-J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9). https://doi.org/10.1016/j.ijhcs.2006.05.001
[19] Wixom, B. H., & Todd, P. A. (2005a). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85–102. https://doi.org/10.1287/isre.1050.0042
[20] Wixom, B. H., & Todd, P. A. (2005b). A Theoretical Integration of User Satisfaction and Technology Acceptance. Information Systems Research, 16(1). https://doi.org/10.1287/isre.1050.0042
Published
2022-11-30
How to Cite
Anindita, M., Sartika, D., & Sabtohadi, J. (2022). MEASURING STUDENT INTEREST IN CONTINUING DISTANCE LEARNING (PJJ) VIA OPEN LEARNING: MODEL EXPECTATION CONFIRMATION. Jurnal Scientia, 11(02), 389-395. Retrieved from https://infor.seaninstitute.org/index.php/pendidikan/article/view/891
Section
Articles
