Exploring Polish students' perceptions of online education during the COVID-19 pandemic and its correlation with student loyalty
Percepcja zajęć online przez polskich studentów oraz jej relacje z lojalnością studentów w czasie pandemii COVID-19
The COVID-19 pandemic has presented significant challenges for universities, their leadership, faculty, and students globally, necessitating rapid adaptation to an unprecedented situation. This paper examines how students evaluate the organization and execution of online classes at three types of Polish higher education institutions: economics universities, management faculties at universities and management faculties within technical universities. The study employed the Computer-Assisted Web Interviewing (CAWI) method, with a sample of 2,832 participants. The results of our study suggest that the most positively rated aspects included access to online consultations, the availability of course materials, and the supportive attitudes of instructors. Conversely, the lowest-rated aspects were the involvement of business practitioners in online classes, knowledge assimilation during remote learning, and the offering of open lectures. An analysis of variance revealed statistically significant differences among the surveyed student groups. Furthermore, the likelihood of students recommending their institutions to peers was assessed. The results showed a prevalence of promoters over detractors in the overall sample, with economics universities displaying a positive Net Promoter Score (NPS).
Pandemia COVID-19 stanowiła istotne wyzwanie dla uniwersytetów, ich władz, kadry naukowej i studentów na całym świecie, wymagając szybkiej adaptacji do bezprecedensowej sytuacji. Niniejszy artykuł analizuje, jak studenci oceniają organizację i realizację zajęć online w trzech typach polskich instytucji szkolnictwa wyższego: uniwersytetach ekonomicznych, wydziałach zarządzania na uniwersytetach oraz wydziałach zarządzania na politechnikach. Badanie przeprowadzono metodą wywiadu internetowego wspomaganego komputerowo (CAWI) na próbie 2832 uczestników. Wyniki badania sugerują, że do najwyżej ocenianych aspektów należały: dostęp do konsultacji online, dostępność materiałów dydaktycznych oraz wspierająca postawa wykładowców. Natomiast najniżej oceniane elementy to udział praktyków biznesu w zajęciach online, przyswajanie wiedzy podczas nauki zdalnej oraz oferta wykładów otwartych. Analiza wariancji wykazała statystycznie istotne różnice między badanymi grupami studentów. Ponadto oceniono prawdopodobieństwo polecania uczelni znajomym lub kolegom. Wyniki pokazały przewagę promotorów nad krytykami w ogólnej grupie badanych, a także wśród studentów uniwersytetów ekonomicznych, gdzie wskaźnik Net Promoter Score (NPS) był pozytywny.
Bibliografia
References/Bibliografia
Alexa, L., Avasilcai, S., Pislaru, M., Bujor, A., Avram, E., & Lucescu, L. (2022). Exploring Romanian engineering students' perceptions of Covid-19 emergency e-learning situation: A mixed-method case study. The Electronic Journal of e-Learning, 20(1), 19–35. https://doi.org/10.34190/ejel.20.1.2190
Alves dos Reis, C. A., Simoes, M., & Flores-Tena, M. (2021). Students' pre and post COVID-19 perception of higher education switch to online: An exploratory study in Portugal. Cypriot Journal of Educational Science, 16(5), 2368–2377. https://doi.org/10.18844/cjes.v16i5.6352
Armstrong, R. A., Slade, S. V., & Eperjesi, F. (2000). An introduction to analysis of variance (ANOVA) with special reference to data from clinical experiments in optometry. Ophthalmic and Physiological Optics, 20(3), 235–241. https://doi.org/10.1046/j.1475-1313.2000.00502.x
Behera, A. K., de Sousa, R. A., Oleksik, V., Dong, J., & Fritzen, D. (2023). Student perceptions of remote learning transitions in engineering disciplines during the COVID-19 pandemic: A cross-national study. European Journal of Engineering Education, 48(1), 110–142. https://doi.org/10.1080/03043797.2022.20805292
Biswas, B., Roy, S. K., & Roy, F. (2020). Students' perception of mobile learning during COVID-19 in Bangladesh: University student perspective. Aquademia, 4(2), ep20023. https://doi.org/10.29333/aquademia/8443
Camilleri, M. A. (2021). Evaluating service quality and performance of higher education institutions: A systematic review and a post COVID-19 outlook. International Journal of Quality and Service Sciences, 13(2), 268–281. https://doi.org/10.1108/IJQSS-03-2020-0034
Cicha, K., Rizun, M., Rutecka, P., & Strzelecki, A. (2021). COVID-19 and higher education: First-year students' expectations toward distance learning. Sustainability, 13(4), 1889. https://doi.org/10.3390/su13041889
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, 534–557. https://doi.org/10.1111/bjet.13206
Cordova, M., Floriani, D. E., Gonzalez-Perez, M. A., Hermans, M., Mingo, S., Monje-Cueto, F., Nava-Aguirre, K. M., Rodriguez, C. A., & Salvaj, E. (2021). COVID-19 and higher education: Responding to local demands and the consolidation of e-internationalization in Latin American universities. Academia Revista Latinoamericana de Administración, 34(4), 493–509. https://doi.org/10.1108/ARLA-01-2021-0020
Cramarenco, R. E., Burcã-Voicu, M. I., & Dabija, D.-C. (2023). Student perceptions of online education and digital technologies during the COVID-19 pandemic: A systematic review. Electronics, 12(2), 319. https://doi.org/10.3390/electronics12020319
Cranfield, D. J., Tick, A., Venter, I. M., Blignaut, R. J., & Renaud, K. (2021). Higher education students' perceptions of online learning during COVID-19. A comparative study. Education Sciences, 11(8), 403. https://doi.org/10.3390/educsci11080403
Ferreira, E. B., Cavalcanti, P. P., & Nogueira, D. A. (2014). ExpDes: An R Package for ANOVA and Experimental Designs. Applied Mathematics, 5, 2952–2958. http://dx.doi.org/10.4236/am.2014.519280
Fuchs, K. (2021). Students' perceptions concerning emergency remote teaching during COVID-19: A case study between higher education institutions in Thailand and Finland. Perspectives on Global Development and Technology, 20(3), 278–288. https://doi.org/10.1163/15691497-12341595
Furiv, U., Kohtamäki, V., Balbachevsky, E., & Virta, S. (2021). COVID-19 crisis response of higher education institutions: Tampere University (TAU) and University of Sao Paulo (USP). In: T. Connolly, & S. Farrier (Eds.), Leadership and Management Strategies for Creating Agile Universities. IGI Global. https://doi.org/10.4018/978-1-7998-8213-8
González-Ramírez, J., Mulqueen, K., Zealand, R., Silverstein, S., Reina, C., BuShell, S., & Ladda, S. (2021). Emergency online learning: College students' perceptions during the COVID-19 pandemic. College Student Journal, 55(1), 29–46. https://doi.org/10.2139/ssrn.3831526
Goretzko, D., Huong Pham, T. T., & Bühner, M. (2021). Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Current Psychology, 40, 3510–3521. https://doi.org/10.1007/s12144-019-00300-2
Iqbal, S. A., Ashiq, M., Rehman, S. U., Rashid, S., & Tayyab, N. (2022). Students' perceptions and experiences of online education in Pakistani universities and higher education institutes during COVID-19. Education Sciences, 12(3), 166. https://doi.org/10.3390/educsci12030166
Krishnan, N., & Sharma, R. (2021). Student perception of online teaching in higher education institutions during COVID-19 pandemic: A survey study. Journal of Ayurveda and Integrative Medicine Sciences, 6, 48–61. https://doi.org/10.21760/jaims.6.6.8
Kundu, A., & Bej, T. (2021). COVID-19 response: Students' readiness for shifting classes online. Corporate Governance, 21(6), 1250–1270. https://doi.org/10.1108/CG-09-2020-0377
Lloret, S., Ferreres, A., Hernández, A. & Tomás, I. (2017). The exploratory factor analysis of items: Guided analysis based on empirical data and software. Anales de psicología, 33, (2/may), 417–432. http://dx.doi.org/10.6018/analesps.33.2.270211
Matarirano, O., Gqokonqana, O. & Yeboah, A. (2021). Students' responses to multi-modal emergency remote learning during COVID-19 in a South African higher institution. Research in Social Sciences and Technology, 6(2), 199–218. https://doi.org/10.46303/ressat.2021.19
Maydiantoro, A. A., Winatha, I. K., Riadi, B., Hidayatullah, R., Putrawan, G. E., & Dzakiria, H. (2020). (Emergency) online remote learning in higher education institutions during COVID-19 crisis: Students' perception of the situation. Universal Journal of Educational Research. https://doi.org/10.13189/ujer.2020.081210
Mospan, N. V., Ognevyuk, V. O., & Sysoieva, S. S. (2022). Emergency higher education digital transformation: Ukraine's response to the COVID-19 pandemic. Information Technologies and Learning Tools, 89(3), 90–104. https://doi.org/10.33407/itlt.v89i3.4827
Najwyższa Izba Kontroli. (2021). Funkcjonowanie szkół w sytuacji zagrożenia COVID-19. https://www.nik.gov.pl/kontrole/P/21/021
Oleksiyenko, A., Mendoza, P., Riano, F. E. C., Dwivedi, O. P., Kabir, A. H., Kuzhabekova, A., Charles, M., Ros, V., & Shchepetylnykova, I. (2022). Global crisis management and higher education: Agency and coupling in the context of wicked COVID-19 problems. Higher Education Quarterly, 77(2), 1–19. https://doi.org/10.1111/hequ.12406
Packmohr, S., & Brink, H. (2021). Comparing pre- and intra-COVID-19 students' perception of the digitalization of higher education institutions. In: Proceedings of the 7th International Conference on Higher Education Advances (HEAd'21). Universitat Politecnica de Valencia. http://dx.doi.org/10.4995/HEAd21.2021.13044
Reichheld, F. F. (2004). Najważniejszy jest wskaźnik wzrostu. Harvard Business Review Polska, (May).
Reichheld, F. F., & Schefter, P. (2000). E-Loyalty: Your secret weapon on the web. Harvard Business Review, 78(4).
Reio, T. G., & Shuck, B. (2015). Exploratory factor analysis: Implications for theory, research, and practice. Advances in Developing Human Resources, 17(1), 12–25. https://doi.org/10.1177/1523422314559804
Rocks, B. (2016). Interval Estimation for the "Net Promoter Score". The American Statistician, 70(4), 365–372. https://doi.org/10.1080/00031305.2016.1158124
Saleh, N. F., & Jalambo, M. O. (2022). Female students' perception of m-learning in the higher education institutions of Palestine during the COVID-19 pandemic. Cogent Education, 9(1), 2147775. https://doi.org/10.1080/2331186X.2022.2147775
Shamsir, M. S., Krauss, S. E., Ismail, I. A., et al. (2022). Development of a Haddon Matrix framework for higher education pandemic preparedness: Scoping review and experiences of Malaysian universities during the COVID-19 pandemic. Higher Education Policy, 35, 439–478. https://doi.org/10.1057/s41307-020-00221-x
Taherdoost, H., Sahibuddin, S., & Jalaliyoon, N. (2014). Exploratory factor analysis; concepts and theory. Advances in Applied and Pure Mathematics. Mathematics and Computers in Science and Engineering Series, 27, 375–382.
Turnbull, D., Chugh, R., & Luck, J. (2021). Transitioning to e-learning during the COVID-19 pandemic: How have higher education institutions responded to the challenge? Education and Information Technologies, 26, 6401–6419. https://doi.org/10.1007/s10639-021-10633-w
Vélez, D., Ayuso, A., Perales-González, C., & Tinguaro Rodríguez, J. (2020). Churn and Net Promoter Score forecasting for business decision-making through a new stepwise regression methodology. Knowledge-Based Systems, 196. https://doi.org/10.1016/j.knosys.2020.105762
Watkins, M. W. (2018). Exploratory factor analysis: A guide to best practice. Journal of Black Psychology, 44(3), 219–246. https://doi.org/10.1177/00957984187718
Zamora-Antunano, M. A., Rodríguez-Reséndiz, J., Cruz-Pérez, M. A., Reséndiz Reséndiz, H., Paredes-García, W. J., & Díaz, J. A. G. (2022). Teachers' perception in selecting virtual learning platforms: A case of Mexican higher education during the COVID-19 crisis. Sustainability, 14(1), 195. https://doi.org/10.3390/su14010195
Zizka, L., & Probst, G. (2022). Teaching during COVID-19: Faculty members' perceptions during and after an "exceptional" semester. Journal of International Education in Business, 15(2), 202–220. https://doi.org/10.1108/JIEB-12-2020-0099
Zizka, L., & Probst, G. (2023). Learning during (or despite) COVID-19: Business students' perceptions of online learning. Quality Assurance in Education, 31(1), 60–73. https://doi.org/10.1108/QAE-12-2021-0188