Determinants and Consequences of Student Learning Satisfaction During Covid-19 Pandemic

  • Arfah Habib Saragih Faculty of Administrative Sciences, Universitas Indonesia, Indonesia
  • Joansyah Adwie Faculty of Administrative Sciences, Universitas Indonesia, Indonesia
  • Adang Hendrawan Faculty of Administrative Sciences, Universitas Indonesia, Indonesia


This study examines the effect of student perception in online learning on student satisfaction and its impact on student learning performance and intention to use in the future. The regression analysis method was used based on the survey results from 157 students. Results indicate that students' perceptions of online learning had a positive effect on student satisfaction, intention to use, and student learning performance. Further, student satisfaction has a positive effect on student learning performance but does not affect the intention to use. The implications for lecturers, students, and faculties are also discussed.

Keywords:  student perception, online learning, student satisfaction,   student performance, intention to use, covid-19 pandemic


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Barhoumi, C. (2016). User acceptance of the e-information service as information resource: A new extension of the technology acceptance model. New Library World, 117(9–10), 626–643.
Benta, D., Bologa, G., & Dzitac, I. (2014). E-learning platforms in higher education. Case study. Procedia Computer Science, 31, 1170–1176.
Bertea, P. (2005). Measuring Students ’ Attitude Towards E-Learning . a Case Study. The 5th International Scientific Conference ELearning and Software for Education, 8.
Chang, Y.-J., Chen, C.-H., Huang, W.-T., & Huang, W.-S. (2011). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of English learning using augmented reality. 2011 IEEE International Conference on Multimedia and Expo, 1–6.
Chitkushev, L., Vodenska, I., & Zlateva, T. (2014). Digital Learning Impact Factors: Student Satisfaction and Performance in Online Courses. International Journal of Information and Education Technology, 4(4), 356–359.
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.
Davis, F D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Management, Ph.D.(May), 291.
Davis, Fred D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339.
Eichelberger, A., & Ngo, H. T. P. (2018). College Students’ Perception of an Online Course in Special Education. International Journal for Educational Media and Technology, 12(2), 11–19.
Fadare, O. A., Ibrahim, M. B., & Edogbanya, A. (2016). A survey on perceived risk and intention of adopting internet banking. Journal of Internet Banking and Commerce, 21(1), 1–21.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39.
Hair, Joe F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.
Hair, Joseph F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
Ke, F., & Kwak, D. (2013). Online learning across ethnicity and age: A study on learning interaction participation, perception, and learning satisfaction. Computers & Education, 61, 43–51.
Keengwe, J., & Georgina, D. (2012). The digital course training workshop for online learning and teaching. Education and Information Technologies, 17(4), 365–379.
Kock, N. (2014). Advanced Mediating Effects Tests, Multi-Group Analyses, and Measurement Model Assessments in PLS-Based SEM. International Journal of E-Collaboration, 10(1), 1–13.
Lee, J.-W., & Mendlinger, S. (2011). Perceived Self-Efficacy and Its Effect on Online Learning Acceptance and Student Satisfaction. Journal of Service Science and Management, 04(03), 243–252.
Lee, J. W. (2010). Online support service quality, online learning acceptance, and student satisfaction. Internet and Higher Education, 13(4), 277–283.
Liaw, S.-S., & Huang, H.-M. (2013). Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments. Computers & Education, 60(1), 14–24.
Liaw, S.-S., Huang, H.-M., & Chen, G.-D. (2007). Surveying instructor and learner attitudes toward e-learning. Computers & Education, 49(4), 1066–1080.
Lust, G., Elen, J., & Clarebout, G. (2012). Online Measurement Perspectives for Students’ Strategy Use: Tool Use within a Content Management System. Education Research International, 2012, 1–11.
Paechter, M., Maier, B., & Macher, D. (2010). Students’ expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction. Computers & Education, 54(1), 222–229.
Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018). Partial least squares path modeling using ordinal categorical indicators. Quality and Quantity, 52(1), 9–35.
Tseng, H. (2020). An exploratory study of students’ perceptions of learning management system utilisation and learning community. Research in Learning Technology, 28(1063519), 1–18.
Wei, H. C., & Chou, C. (2020). Online learning performance and satisfaction: do perceptions and readiness matter? Distance Education, 41(1), 48–69.
Yang, Y., & Lin, N. C. (2010). Internet perceptions, online participation and language learning in Moodle forums: A case study on nursing students in Taiwan. Procedia - Social and Behavioral Sciences, 2(2), 2647–2651.
How to Cite
SARAGIH, Arfah Habib; ADWIE, Joansyah; HENDRAWAN, Adang. Determinants and Consequences of Student Learning Satisfaction During Covid-19 Pandemic. Jurnal Ilmiah Akuntansi dan Bisnis, [S.l.], v. 16, n. 1, p. 1-19, jan. 2021. ISSN 2303-1018. Available at: <>. Date accessed: 02 mar. 2021. doi: