University Student Satisfaction and Behavioural Engagement During Emergency Remote Teaching




online learning satisfaction, emergency remote teaching, behavioural engagement, academic achievement


This study aimed to examine students' online satisfaction in the context of emergency remote teaching. The research was carried out in a concurrent triangulation design from the mixed method. The quantitative data of the study were collected from 2663 students studying at different faculties/schools of a state university in Turkey in the fall semester of the 2020-2021 academic year. Participants consist of students who participated voluntarily according to the convenient sampling method. Qualitative data were collected from 494 students who express their opinion through free text answers. The "e-satisfaction scale" was used to determine students' online learning satisfaction. The number of logins to live course, the number of recorded course view and the number of logins to LMS of students are behavioural engagement indicators. According to the findings, the students have a moderate level of satisfaction. There is a significant difference between both academic achievement and engagement of students with different satisfaction levels. Longing for face-to-face education, the usefulness of the LMS, inadequate assessment, the inefficiency of online learning, technical problems, challenges of the process, and insufficient instructors are opinions frequently mentioned by students. The results obtained in this study not only determine the current situation regarding student satisfaction but also provide important clues about improving online learning.

Author Biographies

Necati Taşkın, Ordu University

Necati Taşkın is an assistant professor of Computer Technology at Ordu University in Türkiye. He also works in the university's distance education application and research center. He received his Ph.D. in Computer and Instructional Technologies at Gazi University in 2020. His research interests focus on distance education, online learning, blended learning, and gamification.

Bülent Kandemir, Ordu University

Bülent Kandemir is an assistant professor of Computer Technology at Ordu University in Türkiye. He received his Ph.D. in Computer and Instructional Technologies at Gazi University in 2022. His research interests include online learning environment design, interactive distance, computer-aided simulations, and database systems.

Kerem Erzurumlu, Ordu University

Kerem Erzurumlu is an assistant professor of Computer Technology at Ordu University in Türkiye. He also works in the university's distance education application and research center. He received his Ph.D. in Computer Engineering at Hacettepe University in 2012. His research interests focus on computer networks, artificial intelligence, image processing, and online learning.


Affouneh, S., Salha, S., & Khlaif, Z. N. (2020). Designing quality e-learning environments for emergency remote teaching in coronavirus crisis. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 11(2), 135–137.

Agyeiwaah, E., Baiden, F. B., Gamor, E., & Hsu, F. C. (2022). Determining the attributes that influence students’ online learning satisfaction during COVID-19 pandemic. Journal of Hospitality, Leisure, Sport & Tourism Education, 30, Article 100364.

Al Mulhem, A. (2020). Investigating the effects of quality factors and organizational factors on university students’ satisfaction of e-learning system quality. Cogent Education, 7(1), Article 1787004.

Ali, W. (2020). Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic. Higher Education Studies, 10(3), 16–25.

Baber, H. (2020). Determinants of students’ perceived learning outcome and satisfaction in online learning during the pandemic of COVID-19. Journal of Education and e-Learning Research, 7(3), 285–292.

Barbera, E., Clara, M., & Linder-Vanberschot, J. A. (2013). Factors influencing student satisfaction and perceived learning in online courses. E-learning and Digital Media, 10(3), 226–235.

Beccaria, L., Rogers, C., Burton, L., & Beccaria, G. (2016). Role of health-promoting behaviours for on-campus and distance education students. Distance Education, 37(1), 22–40.

Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to CoronaVirus pandemic. Asian Journal of Distance Education, 15(1), i–vi.

Butt, S., Mahmood, A., Saleem, S., Murtaza, S. A., Hassan, S., & Molnár, E. (2023). The contribution of learner characteristics and perceived learning to students’ satisfaction and academic performance during COVID-19. Sustainability, 15(2), Article 1348.

Cabi, E. (2016). The perception of students on e-assessment in distance education. Journal of Higher Education & Science, 6(1), 94–101.

Cidral, W. A., Oliveira, T., Di Felice, M., & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers & Education, 122, 273–290.

Conrad, C., Deng, Q., Caron, I., Shkurska, O., Skerrett, P., & Sundararajan, B. (2022). How student perceptions about online learning difficulty influenced their satisfaction during Canada’s Covid‐19 response. British Journal of Educational Technology, 53(3), 534–557.

Council of Higher Education. (2023, February 11). News announcement term of the 2022–2023 academic year distance education [Press release].

Crawford, J., Butler-Henderson, K., Rudolph, J., Malkawi, B., Glowatz, M., Burton, R., Magni, P., & Lam, S. (2020). COVID-19: 20 countries’ higher education intra-period digital pedagogy responses. Journal of Applied Learning & Teaching, 3(1), 1–20.

Creswell, J. W. (2014). A concise introduction to mixed methods research. Sage Publications.

Cutri, R. M., Mena, J., & Whiting, E. F. (2020). Faculty readiness for online crisis teaching: Transitioning to online teaching during the COVID-19 pandemic. European Journal of Teacher Education, 43(4), 523–541.

Daniel, S. J. (2020). Education and the COVID-19 pandemic. PROSPECTS, 49(1), 91–96.

Daultani, Y., Goswami, M., Kumar, A., & Pratap, S. (2021). Perceived outcomes of e-learning: Identifying key attributes affecting user satisfaction in higher education institutes. Measuring Business Excellence, 25(2), 216–229.

Eom, S. B., & Ashill, N. (2016). The determinants of students’ perceived learning outcomes and satisfaction in university online education: An update. Decision Sciences Journal of Innovative Education, 14(2), 185–215.

Fawaz, M., & Samaha, A. (2021). E-learning: Depression, anxiety, and stress symptomatology among Lebanese university students during COVID-19 quarantine. Nursing Forum, 56(1), 52–57.

Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109.

Games, P. A. (1971). Multiple comparisons of means. American Educational Research Journal, 8(3), 531–564.

Gee, N. C. (2018). The impact of lecturers’ competencies on students’ satisfaction. Journal of Arts and Social Sciences, 1(2), 74–86.

Giray, G. (2021). An assessment of student satisfaction with e-learning: An empirical study with computer and software engineering undergraduate students in Turkey under pandemic conditions. Education and Information Technologies, 26, 6651–6673.

Gray, J. A., & DiLoreto, M. (2016). The effects of student engagement, student satisfaction, and perceived learning in online learning environments. International Journal of Educational Leadership Preparation, 11(1).

Gülbahar, Y. (2012). Study of developing scales for assessment of the levels of readiness and satisfaction of participants in e-learning environments. Ankara University Journal of Faculty of Educational Sciences, 45(2), 119–138.

Hamdan, K. M., Al-Bashaireh, A. M., Zahran, Z., Al-Daghestani, A., Al-Habashneh, S., & Shaheen, A. M. (2021). University students’ interaction, Internet self-efficacy, self-regulation and satisfaction with online education during pandemic crises of COVID-19. International Journal of Educational Management, 35(3), 713–725.

Henrie, C. R., Bodily, R., Manwaring, K. C., & Graham, C. R. (2015). Exploring intensive longitudinal measures of student engagement in blended learning. The International Review of Research in Open and Distributed Learning, 16(3), 131–155.

Heo, J., & Han, S. (2018). Effects of motivation, academic stress and age in predicting self-directed learning readiness (SDLR): Focused on online college students. Education and Information Technologies, 23(1), 61–71.

Herwin, H., Fathurrohman, F., Wuryandani, W., Dahalan, S. C., Suparlan, S., Firmansyah, F., & Kurniawati, K. (2022). Evaluation of structural and measurement models of student satisfaction in online learning. International Journal of Evaluation and Research in Education, 11(1), 152–160.

Hilmat, A. N., Takal, M. H., & Hakimi, M. F. (2021). Afghan students’ satisfaction from online learning during COVID-19 at Kandahar University, Kandahar, Afghanistan. American International Journal of Social Science Research, 6(1), 16–29.

Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. EDUCAUSE, 27(1), 1–9.

Kara, M. (2021). Revisiting online learner engagement: Exploring the role of learner characteristics in an emergency period. Journal of Research on Technology in Education, 54(sup1), S236-S252.

Ke, F., & Kwak, D. (2013). Constructs of student-centered online learning on learning satisfaction of a diverse online student body: A structural equation modeling approach. Journal of Educational Computing Research, 48(1), 97–122.

Khan, E. A., Cram, A., Wang, X., Tran, K., Cavaleri, M., & Rahman, M. J. (2023). Modelling the impact of online learning quality on students’ satisfaction, trust and loyalty. International Journal of Educational Management.

Korkmaz, Ö., Çakır, R. & Tan, S. (2015). Students e-learning readiness and satisfaction levels and effects on the academic achievement. Ahi Evran University Journal of Kırşehir Education Faculty, 16(3), 219–241.

Kumar, S. P. (2021). Impact of online learning readiness on students satisfaction in higher educational institutions. Journal of Engineering Education Transformations, 34(special issue), 64–70.

Kuo, Y.-C., Walker, A. E., Schroder, K. E. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35–50.

Kurucay, M., & İnan, F. A. (2017). Examining the effects of learner-learner interactions on satisfaction and learning in an online undergraduate course. Computers & Education, 115, 20–37.

Lewis, A. D., Huebner, E. S., Malone, P. S., & Valois, R. F. (2011). Life satisfaction and student engagement in adolescents. Journal of Youth and Adolescence, 40(3), 249–262.

Moore, M. G., & Kearsley, I. G. (2012). Distance education: A systems view of online learning. Wadsworth Publishing Company.

Olasina, G. (2019). Human and social factors affecting the decision of students to accept e-learning. Interactive Learning Environments, 27(3), 363–376.

Osman, A. R., & Saputra, R. S. (2019). A pragmatic model of student satisfaction: A viewpoint of private higher education. Quality Assurance in Education, 27(2), 142–165.

Pangarso, A., & Setyorini, R. (2023). The drivers of e-learning satisfaction during the early COVID-19 pandemic: Empirical evidence from an Indonesian private university. Cogent Education, 10(1), Article 2149226.

Park, C., & Kim, D. G. (2020). Exploring the roles of social presence and gender difference in online learning. Decision Sciences: Journal of Innovative Education, 18(2), 291–312.

Pawar, A. B., Khemnar, V., Londhe, R., William, P., & Jawale, M. A. (2022). Discriminant analysis of student’s online learning satisfaction during COVID-19. In 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 260–263, Article 21744361), IEEE.

Pham, L., Limbu, Y. B., Bui, T. K., 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, 16(1), Article 7.

Salas‐Pilco, S. Z., Yang, Y., & Zhang, Z. (2022). Student engagement in online learning in Latin American higher education during the COVID‐19 pandemic: A systematic review. British Journal of Educational Technology, 53(3), 593–619.

Schlesselman, L. S. (2020). Perspective from a teaching and learning center during emergency remote teaching. American Journal of Pharmaceutical Education, 84(8), 1042–1044.

Schreiner, L. A., & Nelson, D. D. (2013). The contribution of student satisfaction to persistence. Journal of College Student Retention: Research, Theory & Practice, 15(1), 73–111.

Şenel, S., & Şenel, H. C. (2021). Remote assessment in higher education during COVID-19 pandemic. International Journal of Assessment Tools in Education, 8(2), 181–199.

Shawai, Y. G., & Almaiah, M. A. (2018). Malay language mobile learning system (MLMLS) using NFC technology. International Journal of Education and Management Engineering, 8(2), 1–7.

Shehzadi, S., Nisar, Q. A., Hussain, M. S., Basheer, M. F., Hameed, W. U., & Chaudhry, N. I. (2021). The role of digital learning toward students’ satisfaction and university brand image at educational institutes of Pakistan: A post-effect of COVID-19. Asian Education and Development Studies, 10(2), 276–294.

Simonson, M., Zvacek, S. M., & Smaldino, S. (2019). Teaching and learning at a distance: Foundations of distance education. Information Age Publishing.

Strauss, A., & Corbin, J. M. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Sage Publications.

Tabachnick, B. G., & Fidell, L. S. (2019). Using multivariate statistics. Pearson.

Toquero, C. M. (2020). Emergency remote teaching amid COVID-19: The turning point. Asian Journal of Distance Education, 15(1), 185–188.

Tsay, C. H.-H., Kofinas, A., & Luo, J. (2018). Enhancing student learning experience with technology-mediated gamification: An empirical study. Computers & Education, 121, 1–17.

Veletsianos, G., & Houlden, S. (2019). An analysis of flexible learning and flexibility over the last 40 years of Distance Education. Distance Education, 40(4), 454–468.

Wei, H. C., & Chou, C. (2020). Online learning performance and satisfaction: Do perceptions and readiness matter? Distance Education, 41(1), 48–69.

Ye, J. H., Lee, Y. S., Wang, C. L., Nong, W., Ye, J. N., & Sun, Y. (2023). The continuous use intention for the online learning of Chinese vocational students in the post-epidemic era: The extended technology acceptance model and expectation confirmation theory. Sustainability, 15(3), Article 1819.