University Student Satisfaction and Behavioural Engagement During Emergency Remote Teaching
DOI:
https://doi.org/10.21432/cjlt28242Keywords:
online learning satisfaction, emergency remote teaching, behavioural engagement, academic achievementAbstract
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.
References
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. https://doi.org/10.30476/IJVLMS.2020.86120.1033
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. https://doi.org/10.1016/j.jhlste.2021.100364
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. https://doi.org/10.1080/2331186X.2020.1787004
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. https://doi.org/10.5539/hes.v10n3p16
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. https://doi.org/10.20448/JOURNAL.509.2020.73.285.292
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. https://doi.org/10.2304/elea.2013.10.3.226
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. https://doi.org/10.1080/01587919.2016.1158768
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. http://www.asianjde.com/ojs/index.php/AsianJDE/article/view/447
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. https://doi.org/10.3390/su15021348
Cabi, E. (2016). The perception of students on e-assessment in distance education. Journal of Higher Education & Science, 6(1), 94–101. https://dergipark.org.tr/en/pub/higheredusci/issue/61489/918150
Cidral, W. A., Oliveira, T., Di Felice, M., & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers & Education, 122, 273–290. https://doi.org/10.1016/j.compedu.2017.12.001
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. https://doi.org/10.1111/bjet.13206
Council of Higher Education. (2023, February 11). News announcement term of the 2022–2023 academic year distance education [Press release]. https://www.yok.gov.tr/en/Sayfalar/news/2023/announcement-term-of-the-2022-2023-academic-year-distance-education.aspx
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. https://doi.org/10.37074/jalt.2020.3.1.7
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. https://doi.org/10.1080/02619768.2020.1815702
Daniel, S. J. (2020). Education and the COVID-19 pandemic. PROSPECTS, 49(1), 91–96. https://doi.org/10.1007/s11125-020-09464-3
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. https://doi.org/10.1108/MBE-07-2020-0110
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. https://doi.org/10.1111/dsji.12097
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. https://doi.org/10.1111/nuf.12521
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. https://doi.org/10.3102/00346543074001059
Games, P. A. (1971). Multiple comparisons of means. American Educational Research Journal, 8(3), 531–564. https://doi.org/10.3102/00028312008003531
Gee, N. C. (2018). The impact of lecturers’ competencies on students’ satisfaction. Journal of Arts and Social Sciences, 1(2), 74–86. https://ruijass.com/the-influence-of-job-satisfaction-and-employee-turnover-intention-among-manufacturing-industry-in-malaysia-2/
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. https://doi.org/10.1007/s10639-021-10454-x
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). https://eric.ed.gov/?id=EJ1103654
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. https://doi.org/10.1501/Egifak_0000001256
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. https://doi.org/10.1108/IJEM-11-2020-0513
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. https://doi.org/10.19173/irrodl.v16i3.2015
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. https://doi.org/10.1007/s10639-017-9585-2
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. https://doi.org/10.11591/ijere.v11i1.22115
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. https://doi.org/10.46281/aijssr.v6i1.931
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. http://hdl.handle.net/10919/104648
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. https://doi.org/10.1080/15391523.2021.1891997
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. https://doi.org/10.2190/EC.48.1.e
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. https://doi.org/10.1108/IJEM-02-2022-0066
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. https://dergipark.org.tr/en/pub/kefad/issue/59449/854082
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. https://doi.org/10.16920/jeet/2021/v34i0/157107
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. https://doi.org/10.1016/j.iheduc.2013.10.001
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. https://doi.org/10.1016/j.compedu.2017.06.010
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. https://doi.org/10.1007/s10964-010-9517-6
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. https://doi.org/10.1080/10494820.2018.1474233
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. https://doi.org/10.1108/QAE-05-2017-0019
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. https://doi.org/10.1080/2331186X.2022.2149226
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. https://doi.org/10.1111/dsji.12207
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. https://doi.org/10.1109/ICSCDS53736.2022.9760895
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. https://doi.org/10.1186/s41239-019-0136-3
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. https://doi.org/10.1111/bjet.13190
Schlesselman, L. S. (2020). Perspective from a teaching and learning center during emergency remote teaching. American Journal of Pharmaceutical Education, 84(8), 1042–1044. https://doi.org/10.5688/ajpe8142
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. https://doi.org/10.2190/CS.15.1.f
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. https://doi.org/10.21449/ijate.820140
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. https://doi.org/10.5815/ijeme.2018.02.01
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. https://doi.org/10.1108/AEDS-04-2020-0063
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. http://www.asianjde.com/ojs/index.php/AsianJDE/article/view/450
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. https://doi.org/10.1016/j.compedu.2018.01.009
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. https://doi.org/10.1080/01587919.2019.1681893
Wei, H. C., & Chou, C. (2020). Online learning performance and satisfaction: Do perceptions and readiness matter? Distance Education, 41(1), 48–69. https://doi.org/10.1080/01587919.2020.1724768
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. https://doi.org/10.3390/su15031819
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