A Cross-Cultural Study of University Students' e-Learning Adoption

Stela Jorgji; Ainash Davletova; Sandugash Assylbekova; Elena Susimenko; Elena Kulikova; Mikhail Kosov; Elena Vlasova; Lyudmila Shcherbatykh; Kundharu Saddhono; Olesya Dudnik

doi:10.28991/ESJ-2024-08-03-015

Authors

Stela Jorgji Polytechnic University of Tirana,, Albania
Ainash Davletova L.N. Gumilyov Eurasian National University,, Kazakhstan
Sandugash Assylbekova
assylbekova_enu@mail.ru
L.N. Gumilyov Eurasian National University,, Kazakhstan
Elena Susimenko Platov South-Russian State Polytechnic University (NPI),, Russian Federation
Elena Kulikova Financial University under the Government of the Russian Federation,, Russian Federation
Mikhail Kosov 4) Financial University under the Government of the Russian Federation, Russian Federation. 5) Plekhanov Russian University of Economics, Russian Federation., Russian Federation
Elena Vlasova Herzen State Pedagogical University of Russia,, Russian Federation
Lyudmila Shcherbatykh Bunin Yelets State University,, Russian Federation
Kundharu Saddhono Universitas Sebelas Maret,, Indonesia
Olesya Dudnik I.M. Sechenov First Moscow State Medical University,, Russian Federation

Vol. 8 No. 3 (2024): June

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This study aims to investigate the differences in e-learning adoption among university students in Indonesia, Albania, Russia, and Kazakhstan and examine the role of cultural dimensions in explaining these differences. This research draws upon Hofstede's Cultural Dimensions Theory to explore the impact of culture on e-learning adoption in diverse global contexts. A cross-sectional survey was conducted with a sample of university students from the four countries, and the data were analyzed using structural equation modeling (SEM) and multi-group analysis (MGA) techniques. The findings reveal significant differences in e-learning adoption among the four countries, with learner engagement, learning satisfaction, and technology accessibility exhibiting varying levels of influence on e-learning adoption. The multi-group analysis indicates that cultural dimensions partially explain these differences, highlighting the importance of considering cultural factors when examining e-learning adoption in diverse settings. This study fills a gap in cross-cultural e-learning research, offering key insights into factors shaping students' adoption of online platforms worldwide. The findings emphasize the importance of cultural considerations for educators, policymakers, and e-learning developers in global higher education. This study contributes to the theoretical understanding of the complex interplay between culture and e-learning adoption by demonstrating the explanatory power of cultural dimensions.

Doi: 10.28991/ESJ-2024-08-03-015

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Jorgji, S., Davletova, A., Assylbekova, S., Susimenko, E., Kulikova, E., Kosov, M., … Dudnik, O. (2024). A Cross-Cultural Study of University Students’ e-Learning Adoption. Emerging Science Journal, 8(3), 1060–1074. https://doi.org/10.28991/ESJ-2024-08-03-015

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Rodrigues, H., Almeida, F., Figueiredo, V., & Lopes, S. L. (2019). Tracking e-learning through published papers: A systematic review. Computers & Education, 136, 87–98. doi:10.1016/j.compedu.2019.03.007.

Aparicio, M., Bacao, F., & Oliveira, T. (2016). Cultural impacts on e-learning systems' success. The Internet and Higher Education, 31, 58–70. doi:10.1016/j.iheduc.2016.06.003.

Mehta, A., Morris, N. P., Swinnerton, B., & Homer, M. (2019). The Influence of Values on E-learning Adoption. Computers & Education, 141, 103617. doi:10.1016/j.compedu.2019.103617.

Aldhafeeri, F. M., & Khan, B. H. (2016). Teachers' and Students' Views on E-Learning Readiness in Kuwait's Secondary Public Schools. Journal of Educational Technology Systems, 45(2), 202–235. doi:10.1177/0047239516646747.

Salloum, S.A., Al-Emran, M., Habes, M., Alghizzawi, M., Ghani, M. A., & Shaalan, K. (2020). Understanding the Impact of Social Media Practices on E-Learning Systems Acceptance. Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham, Switzerland. doi:10.1007/978-3-030-31129-2_33.

Abed, E. K. (2019). Electronic learning and its benefits in education. Eurasia Journal of Mathematics, Science and Technology Education, 15(3), 1672. doi:10.29333/ejmste/102668.

Marlina, E., Tjahjadi, B., & Ningsih, S. (2021). Factors Affecting Student Performance in E-Learning: A Case Study of Higher Educational Institutions in Indonesia. Journal of Asian Finance, Economics and Business, 8(4), 993–1001. doi:10.13106/jafeb.2021.vol8.no4.0993.

Shutaleva, A., Martyushev, N., Nikonova, Z., Savchenko, I., Kukartsev, V., Tynchenko, V., & Tynchenko, Y. (2023). Sustainability of Inclusive Education in Schools and Higher Education: Teachers and Students with Special Educational Needs. Sustainability (Switzerland), 15(4), 3011. doi:10.3390/su15043011.

Jumabaeva, C., & Ismailova, R. (2024). Web 2.0 in higher education: Difference in usage and perception between Kazakh and Kyrgyz students. E-Learning and Digital Media, 20427530241239397. doi:10.1177/20427530241239397.

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.

Mulyani, M., Fidyati, F., Suryani, S., Suri, M., & Halimatussakdiah, H. (2021). University students' perceptions through e-learning implementation during COVID-19 pandemic: Positive or negative features dominate? Studies in English Language and Education, 8(1), 197–211. doi:10.24815/siele.v8i1.17628.

Revythi, A., & Tselios, N. (2019). Extension of technology acceptance model by using system usability scale to assess behavioral intention to use e-learning. Education and Information Technologies, 24(4), 2341–2355. doi:10.1007/s10639-019-09869-4.

Rababah, A., Nikitina, N. I., Grebennikova, V. M., Gardanova, Z. R., Zekiy, A. O., Ponkratov, V. V., Bashkirova, N. N., Kuznetsov, N. V., ... & Elyakova, I. D. (2021). University social responsibility during the covid-19 pandemic: Universities' case in the BRICS countries. Sustainability (Switzerland), 13(13), 7035. doi:10.3390/su13137035.

Hoi, V. N. (2020). Understanding higher education learners' acceptance and use of mobile devices for language learning: A Rasch-based path modeling approach. Computers and Education, 146, 103761. doi:10.1016/j.compedu.2019.103761.

Alshehri, A. H., & Alahmari, S. A. (2021). Faculty e-Learning Adoption During the COVID-19 Pandemic: A Case Study of Shaqra University. International Journal of Advanced Computer Science and Applications, 12(10), 855–862. doi:10.14569/IJACSA.2021.0121095.

Choudhury, S., & Pattnaik, S. (2020). Emerging themes in e-learning: A review from the stakeholders' perspective. Computers & Education, 144, 103657. doi:10.1016/j.compedu.2019.103657.

Barteit, S., Guzek, D., Jahn, A., Bärnighausen, T., Jorge, M. M., & Neuhann, F. (2020). Evaluation of e-learning for medical education in low- and middle-income countries: A systematic review. Computers & Education, 145, 103726. doi:10.1016/j.compedu.2019.103726.

Nikou, S., & Maslov, I. (2023). Finnish university students' satisfaction with e-learning outcomes during the COVID-19 pandemic. International Journal of Educational Management, 37(1), 1–21. doi:10.1108/IJEM-04-2022-0166.

Hofstede, G. (2011). Dimensionalizing Cultures: The Hofstede Model in Context. Online Readings in Psychology and Culture, 2(1), 8. doi:10.9707/2307-0919.1014.

Tlili, A., Wang, H., Gao, B., Shi, Y., Zhiying, N., Looi, C. K., & Huang, R. (2023). Impact of cultural diversity on students' learning behavioral patterns in open and online courses: a lag sequential analysis approach. Interactive Learning Environments, 31(6), 3951–3970. doi:10.1080/10494820.2021.1946565.

Jayatilleke, B. G., & Gunawardena, C. (2016). Cultural perceptions of online learning: transnational faculty perspectives. Asian Association of Open Universities Journal, 11(1), 50–63. doi:10.1108/AAOUJ-07-2016-0019.

Al-Adwan, A. S., Al-Adwan, A., & Berger, H. (2018). Solving the mystery of mobile learning adoption in higher education. International Journal of Mobile Communications, 16(1), 24–49. doi:10.1504/IJMC.2018.088271.

Nistor, N., Lerche, T., Weinberger, A., Ceobanu, C., & Heymann, O. (2014). Towards the integration of culture into the Unified Theory of Acceptance and Use of Technology. British Journal of Educational Technology, 45(1), 36–55. doi:10.1111/j.1467-8535.2012.01383.x.

Mashroofa, M. M., Haleem, A., Nawaz, N., & Saldeen, M. A. (2023). E-learning adoption for sustainable higher education. Heliyon, 9(6), 17505. doi:10.1016/j.heliyon.2023.e17505.

Abdelfattah, F., Al Alawi, A. M., Dahleez, K. A., & El Saleh, A. (2023). Reviewing the critical challenges that influence the adoption of the e-learning system in higher educational institutions in the era of the COVID-19 pandemic. Online Information Review, 47(7), 1225–1247. doi:10.1108/OIR-02-2022-0085.

Glossary of Education Reform (2016). Student Engagement. Great Schools Partnership, Portland, United States. Available online: https://www.edglossary.org/student-engagement/ (accessed on May 2024).

Pye, G., Holt, D., Salzman, S., Bellucci, E., & Lombardi, L. (2015). Engaging diverse student audiences in contemporary blended learning environments in Australian higher business education: Implications for Design and Practice. Australasian Journal of Information Systems, 19. doi:10.3127/ajis.v19i0.1251.

Kuh, G. D. (2016). Making Learning Meaningful: Engaging Students in Ways That Matter to Them. New Directions for Teaching and Learning, 2016(145), 49–56. doi:10.1002/tl.20174.

Huang, Y., & Wang, S. (2023). How to motivate student engagement in emergency online learning? Evidence from the COVID-19 situation. Higher Education, 85(5), 1101–1123. doi:10.1007/s10734-022-00880-2.

Banna, J., Lin, M. F. G., Stewart, M., & Fialkowski, M. K. (2015). Interaction matters: Strategies to promote engaged learning in an online introductory nutrition course. Journal of online learning and teaching/MERLOT, 11(2), 249.

Li, J., Zhang, X., & Hu, Z. (2018). The design and application of flip classroom teaching based on computer technology. International Journal of Emerging Technologies in Learning, 13(10), 95–107. doi:10.3991/ijet.v13i10.9453.

Bolliger, D.U. (2004). Key factors for determining student satisfaction in online courses. International Journal on E-learning, 3(1), 61-67.

Chugh, M., Upadhyay, R., & Chugh, N. (2023). An Empirical Investigation of Critical Factors Affecting Acceptance of E-Learning Platforms: A Learner's Perspective. SN Computer Science, 4(3), 240. doi:10.1007/s42979-022-01558-3.

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. Internet and Higher Education, 20, 35–50. doi:10.1016/j.iheduc.2013.10.001.

Alqurashi, E. (2018). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148. doi:10.1080/01587919.2018.1553562.

Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), 843–855. doi:10.1016/j.compedu.2011.10.010.

Algahtani, H., Shirah, B., Subahi, A., Aldarmahi, A., Ahmed, S. N., & Khan, M. A. (2020). Perception of Students about E-learning: A Single-center Experience from Saudi Arabia. Dr. Sulaiman Al Habib Medical Journal, 2(2), 65. doi:10.2991/dsahmj.k.200327.001.

Quadri, N. N., Muhammed, A., Sanober, S., Qureshi, M. R. N., & Shah, A. (2017). Barriers Effecting Successful Implementation of E-Learning in Saudi Arabian Universities. International Journal of Emerging Technologies in Learning (IJET), 12(06), 94. doi:10.3991/ijet.v12i06.7003.

Thi, H. P., Tran, Q. N., La, L. G., Doan, H. M., & Vu, T. D. (2023). Factors motivating students' intention to accept online learning in emerging countries: the case study of Vietnam. Journal of Applied Research in Higher Education, 15(2), 324–341. doi:10.1108/JARHE-05-2021-0191.

Tarhini, A., Hone, K., & Liu, X. (2013). Factors Affecting Students' Acceptance of e-Learning Environments in Developing Countries:A Structural Equation Modeling Approach. International Journal of Information and Education Technology, 3(1), 54–59. doi:10.7763/ijiet.2013.v3.233.

Hofstede Insights. (2021). Country comparison tool. Hofstede Insights, Helsinki, Finland. Available online: https://www.hofstede-insights.com/country-comparison/ (accessed on April 2024).

Gunawardena, C. N., Nolla, A. C., Wilson, P. L., Lopez-Islas, J. R., Ramirez-Angel, N., & Megchun-Alpizar, R. M. (2001). A cross"cultural study of group process and development in online conferences. Distance Education, 22(1), 85–121. doi:10.1080/0158791010220106.

SíœRíœCíœ, L., & MASLAKÇI, A. (2020). Validity and Reliability in Quantitative Research. Business & Management Studies: An International Journal, 8(3), 2694–2726. doi:10.15295/bmij.v8i3.1540.

Bloomfield, J., & Fisher, M. (2019). Quantitative research design. Journal of the Australasian Rehabilitation Nurses' Association, 22(2), 27–30. doi:10.33235/jarna.22.2.27-30.

Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411–423. doi:10.1037/0033-2909.103.3.411.

Hair Jr, J. F., Hair, J., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2023). Advanced issues in partial least squares structural equation modeling. SAGE Publications, Thousand Oaks, United States.

Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. doi:10.2307/3151312.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. doi:10.1007/s11747-014-0403-8.

Bruhn-Suhr, M., Dartsch, D., & Hamadeh, J. (2023). Collaborative e-Learning in Pharmacy. Teaching Science Online, 196–209. doi:10.4324/9781003447405-16.

[50] Hakimi, M., Fazil, A. W., Khaliqyar, K. Q., Quchi, M. M., & Sajid, S. (2023). Evaluating the Impact of E-Learning on Girl's Education in Afghanistan: A Case study of Samangan University. International Journal of Multidisciplinary Approach Research and Science, 2(01), 107–120. doi:10.59653/ijmars.v2i01.368.

House, R. J., Hanges, P. J., Javidan, M., Dorfman, P. W., & Gupta, V. (2005). Culture, leadership, and organizations: the GLOBE study of 62 societies. Choice Reviews Online, 42(07), 42-4132-42–4132. doi:10.5860/choice.42-4132.

Sharma, P. (2010). Measuring personal cultural orientations: Scale development and validation. Journal of the Academy of Marketing Science, 38(6), 787–806. doi:10.1007/s11747-009-0184-7.

Amiri, F., Quraishi, T., Hakimi, M., & Fazil, A. W. (2024). Assessing the Efficiency of Web-Hosted E-Learning Platforms in Afghanistan Academic Settings. EDUTREND: Journal of Emerging Issues and Trends in Education, 1(1), 39–56. doi:10.59110/edutrend.309.

Adeniyi, I. S., Al Hamad, N. M., Adewusi, O. E., Unachukwu, C. C., Osawaru, B., Onyebuchi, C. N., Omolawal, S. A., Aliu, A. O., & David, I. O. (2024). E-learning platforms in higher education: A comparative review of the USA and Africa. International Journal of Science and Research Archive, 11(1), 1686–1697. doi:10.30574/ijsra.2024.11.1.0283.

Pham Thi, T. D., & Duong, N. T. (2024). E-learning behavioral intention among college students: A comparative study. Education and Information Technologies. doi:10.1007/s10639-024-12592-4.

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