Quantitative Analysis of Teacher-Student Computer Mediated Discourse in University Education During the COVID-19 Pandemic

Authors

  • Asst. Lect. Nadia Hamzah Kareem Almajtoom جامعة القادسية، كلية التربية البدنية وعلوم الرياضة، العراق , University of Al-Qadisiyah, College of Physical Education and Sport Sciences, Iraq

DOI:

https://doi.org/10.31185/lark.3408

Abstract

The investigation aimed to outline the characteristics and effectiveness of computer-mediated spoken communication between university teachers and students during the COVID-19 pandemic. The study used a quantitative method and gathered data from the population of 100 students at the university; SPSS was used for in-depth statistical analysis. While we believed that technology access, instructor preparedness, and effective communication were the most essential elements of student engagement in activities, we were still looking for a significant effect of these variables. The results were such that older people rated their communication efficiency negatively. Nevertheless, the study stresses that in the process of electronic learning, the accessibility to technology and the quality of communication is not the only criterion that should be considered when determining the engagement in the electronic learning context. The results hereof are highly important for the strategic development of distance learning approaches, as they reveal that the attention should go beyond the academic discussions of technology and communication and should be directed to the whole spectrum of factors that directly or indirectly affect learner engagement.

References

Agustina, P. Z. R., & Cheng, T. H. (2020). How are students' perspectives on online learning amid the COVID-19 pandemic? Studies in Learning and Teaching, 1(3), 133-139.

Ali, W. (2020). Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic. Higher education studies, 10(3), 16-25.

Bond, M., & Bedenlier, S. (2019). Facilitating student engagement through educational technology: Towards a conceptual framework. Journal of Interactive Media in Education, 2019(1).

Clary, G., Dick, G., Akbulut, A. Y., & Van Slyke, C. (2022). The after times: College students' desire to continue with distance learning post-pandemic. Communications of the Association for Information Systems, 50(1), 3.

Dumford, A. D., & Miller, A. L. (2018). Online learning in higher education: exploring advantages and disadvantages for engagement. Journal of computing in higher education, 30(3), 452-465.

Gopal, R., Singh, V., & Aggarwal, A. (2021). Impact of online classes on the satisfaction and performance of students during the pandemic period of COVID 19. Education and Information Technologies, 26(6), 6923-6947.

He, L., Yang, N., Xu, L., Ping, F., Li, W., Sun, Q., ... & Zhang, H. (2021). Synchronous distance education vs traditional education for health science students: A systematic review and meta‐analysis. Medical Education, 55(3), 293-308.

Junus, K., Santoso, H. B., Putra, P. O. H., Gandhi, A., & Siswantining, T. (2021). Lecturer readiness for online classes during the pandemic: A survey research. Education sciences, 11(3), 139.

Redmond, P., Abawi, L., Brown, A., Henderson, R., & Heffernan, A. (2018). An online engagement framework for higher education. Online Learning Journal, 22(1), 183-204.

Sepulveda-Escobar, P., & Morrison, A. (2020). Online teaching placement during the COVID-19 pandemic in Chile: challenges and opportunities. European Journal of Teacher Education, 43(4), 587-607.

Shah, S. S., Shah, A. A., Memon, F., Kemal, A. A., & Soomro, A. (2021). Online learning during the COVID-19 pandemic: Applying the self-determination theory in the ‘new normal’. Revista de Psicodidáctica (English Ed.), 26(2), 168-177.

Sullivan, S. E., & Al Ariss, A. (2021). Making sense of different perspectives on career transitions: A review and agenda for future research. Human Resource Management Review, 31(1), 100727.

Zawacki‐Richter, O. (2021). The current state and impact of Covid‐19 on digital higher education in Germany. Human Behavior and Emerging Technologies, 3(1), 218-226.

Zhang, W., Wang, Y., Yang, L., & Wang, C. (2020). Suspending classes without stopping learning: China’s education emergency management policy in the COVID-19 outbreak. Journal of Risk and Financial Management, 13(3), 55.

Zhu, M., Herring, S. C., & Bonk, C. J. (2019). Exploring presence in online learning through three forms of computer-mediated discourse analysis. Distance Education, 40(2), 205-225.

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Published

2024-06-30

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Section

west languages

How to Cite

Nadia Hamzah Kareem Almajtoom, A. L. . (2024). Quantitative Analysis of Teacher-Student Computer Mediated Discourse in University Education During the COVID-19 Pandemic. Lark, 16(3 /Pt1), 759-735. https://doi.org/10.31185/lark.3408