Perception of Distance Learning: Results of Surveys of Students and Faculty
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The study aims to evaluate the impact of distance learning on the quality of higher education from the perspectives of students and faculty, focusing on satisfaction, academic performance, and perceptions of digital education. To achieve this, quantitative data were collected through two online surveys of students and faculty from 25 universities across Kazakhstan. Statistical methods, including the Mann–Whitney U Test, ANOVA, Correlation Analysis, Chi-Square Test, and Descriptive Statistics, were applied to test nine hypotheses. The results revealed that graduate students generally perceive distance learning more positively than undergraduates, while both groups identified technical difficulties and reduced personal interaction as the main barriers. A moderate positive correlation was found between student satisfaction and academic performance, indicating that interactive and well-structured online environments enhance learning outcomes. Faculty members reported increased stress and workload, highlighting the need for better institutional support and digital infrastructure. The novelty of this study lies in its comprehensive comparative assessment of both students’ and teachers’ experiences in the context of Kazakhstan’s higher education system, offering valuable practical recommendations for improving hybrid and online learning models and ensuring their long-term effectiveness in post-pandemic conditions.
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[1] Lau, E. Y. H., Li, J. Bin, & Lee, K. (2021). Online Learning and Parent Satisfaction during COVID-19: Child Competence in Independent Learning as a Moderator. Early Education and Development, 32(6), 830–842. doi:10.1080/10409289.2021.1950451.
[2] Dabbagh, N., & Kitsantas, A. (2012). Personal Learning Environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. Internet and Higher Education, 15(1), 3–8. doi:10.1016/j.iheduc.2011.06.002.
[3] Wong, J., Baars, M., Davis, D., Van Der Zee, T., Houben, G. J., & Paas, F. (2019). Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review. International Journal of Human-Computer Interaction, 35(4–5), 356–373. doi:10.1080/10447318.2018.1543084.
[4] Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. Internet and Higher Education, 7(2), 95–105. doi:10.1016/j.iheduc.2004.02.001.
[5] Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, C. A., Tamim, R. M., Surkes, M. A., & Bethel, E. C. (2009). A meta-analysis of three types of interaction treatments in distance education. Review of Educational Research, 79(3), 1243–1289. doi:10.3102/0034654309333844.
[6] Garrison, D. R., & Cleveland-Innes, M. (2005). Facilitating Cognitive Presence in Online Learning: Interaction Is Not Enough. International Journal of Phytoremediation, 21(1), 133–148. doi:10.1207/s15389286ajde1903_2.
[7] Allen, I. E., & Seaman, J. (2016). Online report card: Tracking online education in the United States. Babson Survey Research Group. Babson College, Massachusetts, United States.
[8] Olzhebayeva, G., Buldybayev, T., Omeljanciuk, A., Pavalkis, D., & Zhidebekkyzy, A. (2024). Managing Green Transition in Higher Education: the Case of Central Asian Universities. Polish Journal of Management Studies, 30(1), 224–239. doi:10.17512/pjms.2024.30.1.13.
[9] Najjar, N., Rouphael, M., Bitar, T., & Hleihel, W. (2025). The rise and drop of online learning: adaptability and future prospects. Frontiers in Education, 10, 1522905. doi:10.3389/feduc.2025.1522905.
[10] Jarrah, M., Alghazo, S., Al-Deaibes, M., & Alhawamdeh, H. A. (2025). Real-world experiences of online learning: the effect of synchronous online learning on university students’ classroom engagement. Humanities and Social Sciences Communications, 12(1), 1–11. doi:10.1057/s41599-025-04701-6.
[11] Lin, J., & Wang, Y. (2024). Unpacking the mediating role of classroom interaction between student satisfaction and perceived online learning among Chinese EFL tertiary learners in the new normal of post-COVID-19. Acta Psychologica, 245, 104233. doi:10.1016/j.actpsy.2024.104233.
[12] Baran, E., Correia, A. P., & Thompson, A. (2011). Transforming online teaching practice: Critical analysis of the literature on the roles and competencies of online teachers. Distance Education, 32(3), 421–439. doi:10.1080/01587919.2011.610293.
[13] Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. doi:10.1016/j.chb.2019.08.004.
[14] Shea, P., Sau Li, C., & Pickett, A. (2006). A study of teaching presence and student sense of learning community in fully online and web-enhanced college courses. Internet and Higher Education, 9(3), 175–190. doi:10.1016/j.iheduc.2006.06.005.
[15] Alcaide-Pulido, P., Gutiérrez-Villar, B., Ordóñez-Olmedo, E., & Pérez-Escolar, M. (2025). Analysis of faculty readiness for online teaching: assessing impact and adaptability in diverse educational contexts. Smart Learning Environments, 12(1), 5. doi:10.1186/s40561-024-00353-2.
[16] Vaughan, N. (2014). Student engagement and blended learning: Making the assessment connection. Education Sciences, 4(4), 247–264. doi:10.3390/educsci4040247.
[17] Graham, C. R. (2015). Emerging Practice and Research in Blended Learning. Handbook of Distance Education, 333–350. doi:10.4324/9780203803738.ch21.
[18] Slijepcevic, N., & Huang, W. (2025). Evaluating the impact of online course development and teaching certificate academy on university faculty teaching practices through student learning experiences and faculty perceptions. Internet and Higher Education, 67, 101020. doi:10.1016/j.iheduc.2025.101020.
[19] Ahmed, V., Anane, C., Alzaatreh, A., & Saboor, S. (2023). Faculty perception of online education: considerations for the post-pandemic world. Frontiers in Education, 8, 1258980. doi:10.3389/feduc.2023.1258980.
[20] Yan, N., Batako, A., Czanner, G., & Zhang, A. (2025). Teacher Satisfaction in Online Education: A Two-Factor Model of Extrinsic and Intrinsic Factors Across Diverse Contexts. Technology, Knowledge and Learning, 30(2), 711–739. doi:10.1007/s10758-024-09799-2.
[21] Watermeyer, R., Crick, T., Knight, C., & Goodall, J. (2021). COVID-19 and digital disruption in UK universities: afflictions and affordances of emergency online migration. Higher Education, 81(3), 623–641. doi:10.1007/s10734-020-00561-y.
[22] Cabrera, R. N., Menchaca, V. D., Simonsson, M., & Silva, H. (2024). Faculty Perceptions of Online Instruction and Educational Technology in Higher Education. International Journal of Technology in Education and Science, 8(1), 1–19. doi:10.46328/ijtes.528.
[23] Gikandi, J. W., Morrow, D., & Davis, N. E. (2011). Online formative assessment in higher education: A review of the literature. Computers and Education, 57(4), 2333–2351. doi:10.1016/j.compedu.2011.06.004.
[24] Yukselturk, E., & Bulut, S. (2007). Predictors for student success in an online course. Journal of Educational Technology & Society, 10(2), 71-83.
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