Skip to main content
SpringerLink
Log in

Students’ Perception of Online Learning During the COVID-19 Pandemic: Polish and Ukrainian Perspectives

  • Conference paper
  • First Online:
Information Technology for Management: Approaches to Improving Business and Society (FedCSIS-AIST 2022, ISM 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 471))

  • 129 Accesses

Abstract

The COVID-19 pandemic prompted a rapid shift to online learning at universities, leading to an acceleration of changes directed at creating more inclusive education models. The goal of this research is to explore various aspects of online learning patterns, including students’ online behavior, and attitude towards online communication. The study incorporates qualitative and qualitative data analysis. Based on 1562 survey responses from Polish and Ukrainian students, it has been found that there are still differences in digital competencies between men and women, which may be rooted in traditional gender roles. The analysis of students’ attitudes towards online education also identified both positive and negative aspects of this form of learning, providing insight into areas that could be improved. The main research limitation stems from the interpretative nature of the findings, which have restricted generalization power. The research findings may be useful in shaping future educational policies at Polish and Ukrainian universities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Afroz, R., Islam, N., Rahman, S., Anny, N. Z.: Students’ and teachers’ attitude towards online classes during COVID-19 pandemic: a study on three Bangladeshi government colleges. Int. J. Acad. Res. Bus. Soc. Sci. 10(3), 462–476 (2021). https://doi.org/10.20525/ijrbs.v10i3.1155

  2. Belan, V.: Using distance learning technologies for training future teachers of professional technical courses at the universities of the Republic of Poland and Ukraine. Prof. Pedagog. 2(21), 145–152 (2020). https://doi.org/10.32835/2707-3092.2020.21.145-152

  3. Bondar, I., Humenchuk, A., Horban, Y., Honchar, L., Koshelieva, O.: Conceptual and innovative approaches of higher education institutions (HEIs) to the model of training a successful specialist formation during a covid pandemic. J. Manag. Inf. Decis. Sci. 24(3), 1–8 (2021)

    Google Scholar 

  4. Cansiz, S., Sudan, B., Ogretici, E., Aktas, M.S.: Learning from student browsing data on e-learning platforms: case study. In: Position Papers of the 2020 FedCSIS, pp. 37–44. ACSIS (2020). https://doi.org/10.15439/2020F138

  5. Dhawan, S.: Online learning: a panacea in the time of Covid-19 crisis. Educ. Technol. Syst. 49, 5–22 (2020). https://doi.org/10.1177/0047239520934018

    Article  Google Scholar 

  6. Didkivska, S., Vakaliuk, T.A.: Students’ opinion on the quality of distance learning during the Ukrainian pandemic reality. JELHE 2022, ID 943076 (2022). https://doi.org/10.5171/2022.943076

  7. Długosz, P., Kryvachuk, L.: Neurotic generation of Covid-19 in Eastern Europe. Front. Psychiatry 12, 1–8 (2021). https://doi.org/10.3389/fpsyt.2021.654590

    Article  Google Scholar 

  8. Dymek, D., Grabowski, M., Paliwoda-Pękosz, G.: Impact of COVID-19 pandemic on students’ online behavioral pattern. JELHE 2022, ID 881022 (2022). https://doi.org/10.5171/2022.881022

  9. Dymek, D., Grabowski, M., Paliwoda-Pękosz, G., Didkivska, S., Vakaliuk, T.A.: Students’ online behaviour in the time of the COVID-19 pandemic: insights from Poland and Ukraine. In: The Proceedings of the 17th FedCSIS, pp. 695–699. IEEE (2022). https://doi.org/10.15439/2022F134

  10. El-Sayad, G., Md Saad, N.H., Thurasamy, R.: How higher education students in Egypt perceived online learning engagement and satisfaction during the covid-19 pandemic. Comput. Educ. 8, 527–550 (2021). https://doi.org/10.1007/s40692-021-00191-y

  11. Głodkowska, J., Marcinkowska, B., Wojdyła, E.: Students with disabilities in inclusive educational settings in Poland. ILEE 7, 7–31 (2022). https://doi.org/10.1007/978-3-031-10642-2_2

    Article  Google Scholar 

  12. Kawczyńska-Butrym, Z., Pantyley, V., Butrym, M., Kisla, G., Fakeyeva, L.: Students in times of pandemic: employment, living conditions, and health. Case studies from Poland, Ukraine, and Belarus. Geogr. Pol. 94(3), 429–440 (2021). https://doi.org/10.7163/GPol.0213

  13. Klapkiv, Y., Dluhopolska, T.: Changes in the tertiary education system in pandemic times: comparison of Ukrainian and Polish universities. RREM 12, 86–91 (2020). https://doi.org/10.18662/rrem/12.1sup2/250

  14. Kovalchuk, B., Zaika, A.: Formation of digital competence of future masters of industrial training of agricultural profile. ITLT 85(5), 118–129 (2021). https://doi.org/10.33407/itlt.v85i5.3897

    Article  Google Scholar 

  15. Lee, K., Choi, H., Cho, Y.H.: Becoming a competent self: a developmental process of adult distance learning. Internet High. Educ. 41, 25–33 (2019). https://doi.org/10.1016/j.iheduc.2018.12.001

  16. Liu, X., Liu, J., Zhong, X.: Psychological state of college students during COVID-19 epidemic. SSRN Electron. J. (2020). https://doi.org/10.2139/ssrn.3552814

    Article  Google Scholar 

  17. Majerník, J.: Increasing credibility of teachers in e-assessment management systems using multiple security features. In: Ziemba, E. (ed.) AITM/ISM-2018. LNBIP, vol. 346, pp. 41–52. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-15154-6_3

    Chapter  Google Scholar 

  18. Maleńczyk, I., Gładysz, B.: Academic e-learning in Poland results of a diagnostic survey. IJELR 5, 35–59 (2019). https://doi.org/10.31261/IJREL.2019.5.1.03

  19. Nguyen, D., Meixner, G.: Gamified augmented reality training for an assembly task: a study about user engagement. In: Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 901–904. IEEE (2019). https://doi.org/10.15439/2019F136

  20. Parker, S.W., Hansen, M.A., Bernadowski, C.: COVID-19 campus closures in the United States: American student perceptions of forced transition to remote learning. Soc. Sci. 10(2), 62 (2021). https://doi.org/10.3390/socsci10020062

    Article  Google Scholar 

  21. Ochnik, D., et al.: Mental health prevalence and predictors among university students in nine countries during the COVID-19 pandemic: a cross-national study. Sci. Rep. 11(1), 1–13 (2021). https://doi.org/10.1038/s41598-021-97697-3

  22. Tsatsou, P.: Digital inclusion of people with disabilities: a qualitative study of intra-disability diversity in the digital realm. Behav. Inf. Technol. 39(9), 995–1010 (2020). https://doi.org/10.1080/0144929X.2019.1636136

    Article  Google Scholar 

  23. Wahyu, P., et al.: Student perceptions of online learning during the COVID-19 pandemic in Indonesia: a study of phenomenology. Eur. J. Educ. Res. 10, 1515–1528 (2021). https://doi.org/10.12973/eu-jer.10.3.1515

  24. Wang, X., Hegde, S., Son, C., Keller, B., Smith, A., Sasangohar, F.: Investigating mental health of US college students during the COVID-19 pandemic: cross-sectional Survey Study. J. Med. Internet Res. 22 (2020). https://doi.org/10.2196/22817

  25. Wuttke, H.-D., Parkhomenko, A., Tulenkov, A., Tabunshchyk, G., Parkhomenko, A., Henke, K.: The remote experimentation as the practical-oriented basis of inclusive engineering education. iJOE. 15, 4 (2019). https://doi.org/10.3991/ijoe.v15i05.9752

  26. Vakaliuk, T.A., Kontsedailo, V., Antoniuk, D., Korotun, V., Semerikov, S., Mintii, I.: Using game Dev Tycoon to develop professional soft competencies for future engineers-programmers. In: Sokolov, O., et al. (eds.) CEUR Workshop Proceedings, vol. 2732, pp. 808–822 (2020). https://doi.org/10.31812/123456789/4129

Download references

Acknowledgment

The publication has been financed by the subsidy granted to the Krakow University of Economics - Project no. 032/SD/2022/PRO.

Author information

Authors and Affiliations

  1. Krakow University of Economics, Rakowicka 27, Krakow, Poland

    Dariusz Dymek, Svitlana Didkivska, Mariusz Grabowski & Grażyna Paliwoda-Pękosz

  2. Zhytomyr Polytechnic State University, Chudnivska St, 103, Zhytomyr, Ukraine

    Tetiana Anatoliivna Vakaliuk

Authors
  1. Dariusz Dymek
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Svitlana Didkivska
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mariusz Grabowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Grażyna Paliwoda-Pękosz
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tetiana Anatoliivna Vakaliuk
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Grażyna Paliwoda-Pękosz .

Editor information

Editors and Affiliations

  1. University of Economics in Katowice, Katowice, Poland

    Ewa Ziemba

  2. University of Warsaw, Warsaw, Poland

    Witold Chmielarz

  3. University of Szczecin, Szczecin, Poland

    Jarosław Wątróbski

Appendix

Appendix

Survey items related to the current study

  1. 1.

    Gender (male/female/don’t want to share this information)

  2. 2.

    Age (<20/20–24/25–30/31+)

  3. 3.

    Level of digital competences (self-evaluation): (beginner/below average/average/ above average/professional)

  4. 4.

    Technical conditions of working place (access to the Internet and equipment: PC, laptop, tablet, smartphone, etc.): (constant problems/frequent problems/sufficient for basic needs/occasional problems/no problems)

  5. 5.

    The number of hours spent online per week (not counting professional work, but including studies) is approximately: (up to 15 h/16–25 h/26–35 h/36–45 h; over 45 h)

  6. 6.

    The number of hours per week related to online studies: (up to 10 h/11–20 h/21–30 h/31–40 h/over 40 h)

  7. 7.

    Estimated number of friends in regular socializing via electronic media (social media): (<5/6–15/16–30/31–50/>50)

  8. 8.

    Estimated number of friends in face-to-face contacts: (<5/6–15/16–30/31–50/>50)

  9. 9.

    The frequency of communicating with friends via electronic media: (occasionally/a few times a week/once a day/several times a day/constantly)

  10. 10.

    Attitude towards Internet communication: (I don’t like and avoid it/I don’t like, but have to use it/neutral attitude/I prefer it/I strongly prefer it)

  11. 11.

    Attitude towards online learning (e.g. training videos on Youtube): (I don’t like and avoid it/I don’t like, but have to use it/neutral attitude/I prefer it/I strongly prefer it)

  12. 12.

    Mental health change after switching to online learning: (significantly deteriorated/worsened/no change/improved/significantly improved)

  13. 13.

    Do you have any other ideas/insights/opinions regarding online learning? (Open question).

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dymek, D., Didkivska, S., Grabowski, M., Paliwoda-Pękosz, G., Vakaliuk, T.A. (2023). Students’ Perception of Online Learning During the COVID-19 Pandemic: Polish and Ukrainian Perspectives. In: Ziemba, E., Chmielarz, W., Wątróbski, J. (eds) Information Technology for Management: Approaches to Improving Business and Society. FedCSIS-AIST ISM 2022 2022. Lecture Notes in Business Information Processing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-031-29570-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-29570-6_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-29569-0

  • Online ISBN: 978-3-031-29570-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation