International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies


:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

ISSN 2228-9860
eISSN 1906-9642


Vol.12(13) (2021)

  • Investigating University Students' Acceptance of Blended Learning during COVID-19 Pandemic

    Seren Basaran (Department of Computer Information Systems, Near East University, Lefkosa 98010, Mersin 10 Turkey, North CYPRUS).

    Disciplinary: Education (Learning Management, Technology Adoption), Information Technology.

    ➤ FullText

    DOI: 10.6084/m9.figshare.17602388

    Keywords: E-learning systems; Higher education; BLS use; IS success; Technology adoption; Blended learning system (BLS); Unified Theory of Acceptance and Use of Technology (UTAUT); Technology Acceptance Model (TAM) framework; TAM construct; TAM model; Information quality.

    More and more instructors have begun using blended learning to overcome the challenges encountered during the covid-19 pandemic. However, still not much known about influential factors in students' acceptance of such hybrid learning systems. For this purpose, a framework that includes key attributes such as; information quality and system quality, system interactivity, user satisfaction, perceived usefulness, perceived ease of use, and blended learning system use was developed. Pearson correlations were used to analyze data from 700 respondents. Findings revealed that, while there exist no significant relationships among system quality-user satisfaction and user satisfaction-use for blended learning and relatively weak, positive relations exist among perceived ease of use-use for blended learning. In addition to a low, positive relationship between perceived usefulness and use for blended learning, moderate positive correlations exist among system interactivity-user satisfaction and perceived ease of use- perceived usefulness. Finally, high positive correlations exist among information quality-user satisfaction, user satisfaction-perceived usefulness, and user satisfaction-perceived ease of use. Information quality is important in students' satisfaction when using the blended systems. This also affects the perceived ease of use and perceived usefulness of the system. The decision-makers and institutions benefit from this study by considering only the factors leading to a successful implementation of blended learning.

    Paper ID: 12A13J

    Cite this article:

    Basaran, S. (2021). Investigating University Students' Acceptance of Blended Learning during COVID-19 Pandemic. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(13), 12A13J, 1-11.


  1. Pergola, T. M., and Walters, L. M. (2011). Evaluating Web-Based Learning Systems. Journal of Instructional Pedagogies, 5, 1-17.
  2. Alharbi, S., and Drew, S. (2014). Mobile Learning-system usage: Scale development and empirical tests. International Journal of Advanced Research in Artificial Intelligence, 3(11). DOI: 10.14569/ijarai.2014.031105
  3. Chiu, C. M., and Wang, E. T. G. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information & Management, 45 (3), 194-201. DOI: 10.1016/
  4. Jong, D. and Wang, T. S. (2009, May). Student acceptance of web-based learning system. In Proceedings of the 2009 International Symposium on Web Information Systems and Applications (WISA'09), (Vol. 8, pp. 533-536). People's Republic of China: Nanchang.
  5. Liao, Q., Shim, J. P. and Luo, X. (2004). Student acceptance of web-based learning environment: An empirical investigation of an undergraduate IS course. AMCIS 2004 Proceedings, 377
  6. Calisir, F., Altin Gumussoy, C., Bayraktaroglu, A. E., and Karaali, D. (2014). Predicting the Intention to Use a Web-Based Learning System: Perceived Content Quality, Anxiety, Perceived System Quality, Image, and the Technology Acceptance Model. Human Factors and Ergonomics in Manufacturing & Service Industries, 24 (5), 515-531. DOI: 10.1002/hfm.20548
  7. Chen, H. R., and Tseng, H.-F. (2012). Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan. Evaluation and Program Planning, 35 (3), 398-406. DOI: 10.1016/j.evalprogplan.2011.11.007
  8. Lwoga, E. T. (2014). Critical success factors for adoption of web-based learning management systems in Tanzania. International Journal of Education and Development using Information and Communication Technology, 10 (1), pp. 4-21
  9. Pituch, K. A., & Lee, Y. (2006). The influence of system characteristics on e-learning use. Computers & Education, 47 (2), 222-244. DOI: 10.1016/j.compedu.2004.10.00
  10. Tarhini, A., Hone, K., & Liu, X. (2013). User Acceptance Towards Web-based Learning Systems: Investigating the Role of Social, Organizational and Individual Factors in European Higher Education. Procedia Computer Science, 17, 189-197. DOI: 10.1016/j.procs.2013.05.026
  11. Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the Technology Acceptance Model (TAM) to examine faculty use of learning management systems (LMSs) in higher education institutions. Journal of Online Learning & Teaching, 11 (2), 1145-1158.
  12. Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education. Computers & Education, 25(3), 13-35.
  13. Jung, M. L. L., Loria, K., & Saha, R. M. P. (2008). E-Learning: Investigating University Student s Acceptance of Technology. European Journal of Open, Distance and e-learning, 11 (2), 13-35.
  14. DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.
  15. Seddon, P., and Kiew, M. Y. (1996). A partial test and development of DeLone and McLean's model of IS success. Australasian Journal of Information Systems, 4 (1). pp. 90-109. DOI: 10.3127/ajis.v4i1.379
  16. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. DOI: 10.2307/249008
  17. Venkatesh, V. and Davis, F. D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27(3), 451-481.
  18. Venkatesh, Morris, Davis, and Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. DOI: 10.2307/30036540
  19. DeLone, W. H., and McLean, E. R. (1992). Information Systems Success: The Quest for the Dependent Variable. Information Systems Research, 3 (1), 60-95. DOI: 10.1287/isre.3.1.60
  20. Chau, P. Y. K. (1996). An Empirical Assessment of a Modified Technology Acceptance Model. Journal of Management Information Systems, 13 (2), 185-204. DOI: 10.1080/07421222.1996.11518128
  21. Gefen, D., and Straub, D. (2000). The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption. Journal of the Association for Information Systems, 1 (1), 1-30. doi: 10.17705/1jais.00008
  22. George, D. and Mallery, M. (2003). Using SPSS for Windows step by step: a simple guide and reference. Boston, MA: Allyn & Bacon.
  23. Hinkle DE, Wiersma W, and Jurs S. G.(2003). Applied Statistics for the Behavioral Sciences. 5th ed. Boston: Houghton Mifflin.
  24. Zalat MM, Hamed MS, Bolbol SA (2021) The experiences, challenges, and acceptance of e-learning as a tool for teaching during the COVID-19 pandemic among university medical staff. PLoS ONE 16(3): e0248758. DOI: 10.1371/journal.pone.0248758
  25. Adel, A., Dayan, J. (2021). Towards an intelligent blended system of learning activities model for New Zealand institutions: an investigative approach. Humanit Soc Sci Commun 8, 72(2021). DOI: 10.1057/s41599-020-00696-4
  26. Mailizar, M., Burg, D. & Maulina, S. (2021). Examining university students' behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model. Educ Inf Technol 26, 7057-7077. DOI: 10.1007/s10639-021-10557-5

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