Faculties' perception of online learning sustainability post-pandemic ‎era

Authors

  • Dr. Jeffrey Jim Salvius J Assistant Professor, Faculty of Management, SRM Institute of Science and Technology-Ramapuram Campus‎
  • Dr. Allen Rose Shamini D Assistant professor, Department of Management Studies, St. Joseph’s Institute of Management, St. Joseph’s College Tiruchirappalli
  • Dr. Prasad babu P Assistant Professor, Faculty of Management, SRM Institute of Science and Technology-Ramapuram Campus
  • Dr. Bavithra M Assistant Professor, Department of Management Studies, Arulmigu Kapaleeswarar Arts and Science College, Kolathur, Chennai

How to Cite

J, D. J. J. S., D, D. A. R. S., P, D. P. babu, & M, . D. B. (2025). Faculties’ perception of online learning sustainability post-pandemic ‎era. International Journal of Basic and Applied Sciences, 14(1), 86-91. https://doi.org/10.14419/1vpb3f49

Received date: March 20, 2025

Accepted date: April 17, 2025

Published date: April 21, 2025

DOI:

https://doi.org/10.14419/1vpb3f49

Keywords:

Ease of Knowledge Sharing; Efficiency; Faculty Perception; PLS-SEM; Self-Efficacy; Sustainability

Abstract

The Pedagogical aspects of all educational institutes are revamping the post-pandemic era. The drift between traditional and modern teaching ‎and learning practices is pivotal in raising the bar of educational institutes across the country. In this paper, we will understand the percep-‎tion of faculty members as they are the ones who will be the center of teaching in the new arena. We will also study the effects or relationships of self-efficacy, Effectiveness, and efficiency with the perception of online teaching. From the vivid literature study, we have also ‎included the ease of knowledge sharing as our mediating factor in the study to arrive at the desired results. A sample of 187 faculty members across various B-Schools was collected and analyzed using IBM SPSS 25 and SEM-PLS 4 to find out the reliability, validity, correla-‎tion between the observed variables and the regression line deployed in the study, and to find out the model fitness to prove the statistical ‎measures relevant to the study. The results showed a positive outcome regarding the perception of online teaching practices. Though a few sen-‎ior faculty members have some differences of opinion towards online platforms, most of them find it beneficial and are willing to use this in the future. ‎The research also suggests that to maintain sustainability in the digital world, education should consider adopting this sort of online ‎learning platform to get beneficial results for the industry and society in the long run‎.

References

  1. Thi, D., & Luy, T. (2022). Teachers’ Practices and Perceptions. AsiaCALL Online Journal, 13(1), 1–21. http://eoi.citefactor.org/10.11251/acoj.13.01.001.
  2. Arbaugh, J. B. (2004). Learning to learn online: A study of perceptual changes between multiple online course experiences. Internet and Higher Education, 7(3), 169–182. https://doi.org/10.1016/j.iheduc.2004.06.001.
  3. Al-Said, K., Berestova, A., & Shterts, O. (2023). Learning processes, memory development, and knowledge sharing via mobile applications using MOOCs. Frontiers in Education, 8(April), 1–9. https://doi.org/10.3389/feduc.2023.1113584.
  4. Artino, A. R. (2012). Academic self-efficacy: from educational theory to instructional practice. Perspectives on Medical Education, 1(2), 76–85. https://doi.org/10.1007/S40037-012-0012-5.
  5. Magill, C., Cronin, C., Walsh, B., Polman, R., & Rudd, J. (2023). Teaching efficacy of undergraduate PE students; what are the key predictors and what can PE educators learn from this? Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1166613.
  6. Van Dinther, M., Dochy, F., & Segers, M. (2011). Factors affecting students’ self-efficacy in higher education. Educational Research Review, 6(2), 95–108. https://doi.org/10.1016/j.edurev.2010.10.003.
  7. Belur, J., & Bentall, C. (2023). Reviewing the 3C’s of blended learning for police education: assessing capacity, building capability, and conquering challenges. Police Practice and Research, 00(00), 1–21. https://doi.org/10.1080/15614263.2023.2210249.
  8. Prabhu M, N. B., Bolar, K., Mallya, J., Roy, P., Payini, V., & K, T. (2021). Determinants of hospitality students’ perceived learning during COVID 19 pandemic: Role of interactions and self-efficacy. Journal of Hospitality, Leisure, Sport and Tourism Education, September, 100335. https://doi.org/10.1016/j.jhlste.2021.100335.
  9. Zulfikar, A. F., Muhidin, A., Pranoto, Suparta, W., Trisetyarso, A., Abbas, B. S., & Kang, C. H. (2019). The effectiveness of online learning with facilitation method. Procedia Computer Science, 161, 32–40. https://doi.org/10.1016/j.procs.2019.11.096.
  10. Grzeda, M., & Miller, G. E. (2009). The effectiveness of an online MBA Program in meeting mid-career student expectations. Journal of Educators Online, 6(2), 2. https://doi.org/10.9743/JEO.2009.2.2.
  11. Kintu, M. J., Zhu, C., & Kagambe, E. (2017). Blended learning effectiveness: the relationship between student characteristics, design features and outcomes. International Journal of Educational Technology in Higher Education, 14(1). https://doi.org/10.1186/s41239-017-0043-4.
  12. Lee, S., Barker, T., & Suresh Kumar, V. (2016). International Forum of Educational Technology & Society Effectiveness of a Learner-Directed Model for e-Learning. Source: Journal of Educational Technology & Society, 19(3), 221–233.
  13. Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115–131. https://doi.org/10.1016/j.hrmr.2009.10.001.
  14. Tanner, J. R., Noser, T. R., & Totaro, M. W. (2009). Business Faculty and Undergraduate Students’ Perceptions of Online Learning: A Compara-tive Study. In Journal of Information Technology Education (Vol. 20, Issue 1, pp. 201–219). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.148.227&rep=rep1&type=pdf.
  15. Mellieon, H. I., & Robinson, P. A. (2021). The New Norm: Faculty Perceptions of Condensed Online Learning. American Journal of Distance Edu-cation, 35(3), 170–183. https://doi.org/10.1080/08923647.2020.1847626.
  16. Kibwana, S., Haws, R., Kols, A., Ayalew, F., Kim, Y. M., van Roosmalen, J., & Stekelenburg, J. (2017). Trainers’ perception of the learning envi-ronment and student competency: A qualitative investigation of midwifery and anesthesia training programs in Ethiopia. Nurse Education Today, 55(April), 5–10. https://doi.org/10.1016/j.nedt.2017.04.021.
  17. Syed, F. U., & Mohd Abdul, S. (2023). Employees’ perception towards e-learning: an exploratory study in the information technology sector in In-dia. Industrial and Commercial Training, May. https://doi.org/10.1108/ICT-11-2022-0082.
  18. Khamparia, A., & Pandey, B. (2015). Knowledge and intelligent computing methods in e-learning. International Journal of Technology Enhanced Learning, 7(3), 221–242. https://doi.org/10.1504/IJTEL.2015.072810.
  19. Maqbool, M. A., Asif, M., Imran, M., Bibi, S., & Almusharraf, N. (2024). Emerging E-learning trends: A study of faculty perceptions and impact of collaborative techniques using fuzzy interface system. Social Sciences and Humanities Open, 10(May), 101035. https://doi.org/10.1016/j.ssaho.2024.101035.
  20. Ahmed, V., Anane, C., Alzaatreh, A., & Saboor, S. (2023). Faculty perception of online education: considerations for the post-pandemic world. Frontiers in Education, 8(November), 1–16. https://doi.org/10.3389/feduc.2023.1258980.
  21. Harahsheh, A. A., Alzboun, M. S., Hamadneh, M. A. D., Dawoud, T. N. T., & Alrashdan, H. (2023). Perception of E-Learning’s Role in Shaping Post-Pandemic University Education: Evaluating Its Positive and Negative Effects on Returning to Traditional class. Information Sciences Letters, 12(10), 2575–2598. https://doi.org/10.18576/isl/121010.
  22. Mulla, T., Munir, S., & Mohan, V. (2023). An exploratory study to understand faculty members’ perceptions and challenges in online teaching. In-ternational Review of Education, 69(1–2), 73–99. https://doi.org/10.1007/s11159-023-10002-4.
  23. Bennett, D., Knight, E., & Rowley, J. (2020). The role of hybrid learning spaces in enhancing higher education students’ employability. British Journal of Educational Technology, 51(4), 1188–1202. https://doi.org/10.1111/bjet.12931.
  24. Hwang, A. (2018). Online and Hybrid Learning. Journal of Management Education, 42(4), 557–563. https://doi.org/10.1177/1052562918777550.
  25. Shaari, R., Rahman, S. A. A., & Rajab, A. (2014). Self-Efficacy as a Determined Factor for Knowledge Sharing Awareness. International Journal of Trade, Economics and Finance, January 2014, 39–42. https://doi.org/10.7763/IJTEF.2014.V5.337.
  26. Al-Emran, M., & Teo, T. (2020). Do knowledge acquisition and knowledge sharing really affect e-learning adoption? An empirical study. Educa-tion and Information Technologies, 25(3), 1983–1998. https://doi.org/10.1007/s10639-019-10062-w.
  27. Grieve, N. J., Cranston, K. D., & Jung, M. E. (2023). Examining the Effectiveness of an E-Learning Training Course for Coaches of a Type 2 Dia-betes Prevention Program. Journal of Technology in Behavioral Science, 0123456789. https://doi.org/10.1007/s41347-023-00316-3.
  28. Gliem, J. A., & Gliem, R. R. (2003). Calculating, Interpreting, and Reporting Cronbach’s Alpha Reliability Coefficient for Likert-Type Scales. 82–88. https://doi.org/10.1016/B978-0-444-88933-1.50023-4.
  29. Schober, P., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864.
  30. Joseph, F., Jr, H., Babin, B. J., Anderson, R. E., & Black, W. C. (2014). on Multivariate Data Analysis . Hair Jr . William C . Black Seventh Edition.
  31. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203.
  32. Babu, P.P., & Vasumathi, A., Role of Artificial Intelligence in Project Efficiency Mediating with Perceived Organizational Support in the Indian IT Sector. Indian Journal of Information Sources and Services, 2023, 13(2), 39–45. https://doi.org/10.51983/ijiss-2023.13.2.3786.
  33. Patterson, M., & Pfeffer, J. (2016). Bothered by Abstraction : The Effect of Expertise on Knowledge Transfer and Subsequent Novice Performance. February. https://doi.org/10.1037/0021-9010.86.6.1232.

Downloads

How to Cite

J, D. J. J. S., D, D. A. R. S., P, D. P. babu, & M, . D. B. (2025). Faculties’ perception of online learning sustainability post-pandemic ‎era. International Journal of Basic and Applied Sciences, 14(1), 86-91. https://doi.org/10.14419/1vpb3f49

Received date: March 20, 2025

Accepted date: April 17, 2025

Published date: April 21, 2025