ONLINE EDUCATION IMPACT – ANALYZING LEARNING OUTCOME

Authors

  • Dr. lt. S. Ravibalan

DOI:

https://doi.org/10.53555/eijhss.v10i1.230

Abstract

The Internet has helped online education grow quickly by providing students worldwide with more flexible and accessible learning options. Moreover, since technologies have been advancing and educational paradigms have been changing, the study of how online education affects learning outcomes is highly important to set future educational practices. This analysis integrates research about the elements that affect online education outcomes by examining technology-based elements and instructor and student variables. This research successfully demonstrates how technologies like ‘artificial intelligence’, ‘adaptive learning platforms’, and ‘learning analytics’ greatly increase student engagement and customization with tailored learning experiences. Blended and Technology-Mediated Instruction approaches that include remote and physically elements work well to strike a balance between flexibility and the intended benefits of in-person communication. The achievement of students depends heavily on instructors who demonstrate competence in technology use effective teaching methods and quick feedback delivery. Learning outcomes depend heavily on the student's characteristics of self-regulation together with motivation and digital literacy skills. The results demonstrate the necessity of professional development opportunities to assist teachers and students, as well as digital infrastructure rules that promote fair access to digital technology. The study presents the value of building inclusive, flexible learning environments that cater to different learners to improve learning results. This enables contributors to the ongoing development of online education strategies and presents lessons to policymakers, educators, and institutions.

 

Author Biography

Dr. lt. S. Ravibalan

Professor in English, St. peter’s Institute of Higher Education and Research, Avadi, Chennai.

References

Castro, M. D. B., & Tumibay, G. M. (2021). A literature review: efficacy of online learning courses for a higher education institution using meta-analysis. Education and Information Technologies, 26(2), 1367-1385.

Baber, H. (2020). Determinants of students’ perceived learning outcome and satisfaction in online learning during the pandemic of COVID-19. Journal of Education and e-learning Research, 7(3), 285-292.

Yu, Z. (2021). The effects of gender, educational level, and personality on online learning outcomes during the COVID-19 pandemic. International Journal of Educational Technology in Higher Education, 18(1), 14.

Huang, R., Ritzhaupt, A. D., Sommer, M., Zhu, J., Stephen, A., Valle, N., ... & Li, J. (2020). The impact of gamification in educational settings on student learning outcomes: A meta-analysis. Educational Technology Research and Development, 68, 1875-1901.

Muller, C., & Mildenberger, T. (2021). Facilitating flexible learning by replacing classroom time with an online learning environment: A systematic review of blended learning in higher education. Educational research review, 34, 100394.

Abuhassna, H., Al-Rahmi, W. M., Yahya, N., Zakaria, M. A. Z. M., Kosnin, A. B. M., & Darwish, M. (2020). Development of a new model on utilizing online learning platforms to improve students’ academic achievements and satisfaction. International Journal of Educational Technology in Higher Education, 17, 1-23.

Tang, Y. M., Chen, P. C., Law, K. M., Wu, C. H., Lau, Y. Y., Guan, J., ... & Ho, G. T. (2021). Comparative analysis of Students' live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector. Computers & education, 168, 104211.

Yu, Z., Gao, M., & Wang, L. (2021). The effect of educational games on learning outcomes, student motivation, engagement, and satisfaction. Journal of Educational Computing Research, 59(3), 522-546.

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.

Sailer, M., & Homner, L. (2020). The gamification of learning: A meta-analysis. Educational psychology review, 32(1), 77-112.

Vallee, A., Blacher, J., Cariou, A., & Sorbets, E. (2020). Blended learning compared to traditional learning in medical education: systematic review and meta-analysis. Journal of medical Internet research, 22(8), e16504.

Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in education and teaching international, 61(3), 460-474.

Wu, B., Yu, X., & Gu, X. (2020). Effectiveness of immersive virtual reality using head‐mounted displays on learning performance: A meta‐analysis. British journal of educational technology, 51(6), 1991-2005.

Aguilera-Hermida, A. P. (2020). College students’ use and acceptance of emergency online learning due to COVID-19. International journal of educational research open, 1, 100011.

Asgari, S., Trajkovic, J., Rahmani, M., Zhang, W., Lo, R. C., & Sciortino, A. (2021). An observational study of engineering online education during the COVID-19 pandemic. Plos one, 16(4), e0250041.

Khalil, R., Mansour, A. E., Fadda, W. A., Almisnid, K., Aldamegh, M., Al-Nafeesah, A., ... & Al-Wutayd, O. (2020). The sudden transition to synchronized online learning during the COVID-19 pandemic in Saudi Arabia: a qualitative study exploring medical students’ perspectives. BMC medical education, 20, 1-10.

Alqahtani, A. Y., & Rajkhan, A. A. (2020). E-learning critical success factors during the COVID-19 pandemic: A comprehensive analysis of e-learning managerial perspectives. Education sciences, 10(9), 216.

Simamora, R. M. (2020). The Challenges of online learning during the COVID-19 pandemic: An essay analysis of performing arts education students. Studies in Learning and Teaching, 1(2), 86-103.

Alam, A. (2022). Employing adaptive learning and intelligent tutoring robots for virtual classrooms and smart campuses: reforming education in the age of artificial intelligence. In Advanced computing and intelligent technologies: Proceedings of ICACIT 2022 (pp. 395-406). Singapore: Springer Nature Singapore.

Azevedo, J. P., Hasan, A., Goldemberg, D., Geven, K., & Iqbal, S. A. (2021). Simulating the potential impacts of COVID-19 school closures on schooling and learning outcomes: A set of global estimates. The World Bank Research Observer, 36(1), 1-40.

Rasmitadila, R., Aliyyah, R. R., Rachmadtullah, R., Samsudin, A., Syaodih, E., Nurtanto, M., & Tambunan, A. R. S. (2020). The perceptions of primary school teachers of online learning during the COVID-19 pandemic period. Journal of Ethnic and Cultural Studies, 7(2), 90-109.

Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during the lockdown period of the COVID-19 pandemic. International journal of educational research open, 1, 100012.

Hamilton, D., McKechnie, J., Edgerton, E., & Wilson, C. (2021). Immersive virtual reality as a pedagogical tool in education: a systematic literature review of quantitative learning outcomes and experimental design. Journal of Computers in Education, 8(1), 1-32.

Barrot, J. S., Llenares, I. I., & Del Rosario, L. S. (2021). Students’ online learning challenges during the pandemic and how they cope with them: The case of the Philippines. Education and information technologies, 26(6), 7321-7338.

Namoun, A., & Alshanqiti, A. (2020). Predicting student performance using data mining and learning analytics techniques: A systematic literature review. Applied Sciences, 11(1), 237.

Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International journal of educational technology in higher education, 18, 1-23.

Rajabalee, Y. B., & Santally, M. I. (2021). Learner satisfaction, engagement and performances in an online module: Implications for institutional e-learning policy. Education and Information Technologies, 26(3), 2623-2656.

Rojas-Sánchez, M. A., Palos-Sánchez, P. R., & Folgado-Fernández, J. A. (2023). Systematic literature review and bibliometric analysis on virtual reality and education. Education and Information Technologies, 28(1), 155-192.

Wei, H. C., & Chou, C. (2020). Online learning performance and satisfaction: do perceptions and readiness matter?. Distance Education, 41(1), 48-69.

Guo, P., Saab, N., Post, L. S., & Admiraal, W. (2020). A review of project-based learning in higher education: Student outcomes and measures. International journal of educational research, 102, 101586.

Sweller, J. (2024). Cognitive load theory and individual differences. Learning and Individual Differences, 110, 102423.

Mgutshini, T. (2013). Online or not? A comparison of students' experiences of an online and an on-campus class. Curationis, 36(1), 1-7.

Hafsha, A. (2020). Engage and Conquer: An Online Empirical Approach into Whether Intrinsic or Extrinsic Motivation Leads to More Enhanced Students’ Engagement.

Buckland, R. (2016, August). Affective and Cognitive-Designing Educational Experiences that Transform. In Proceedings of the 2016 ACM Conference on International Computing Education Research (pp. 1-1).

Rapchak, M. E. (2017). Creating a community of inquiry in online library instruction. Journal of Library & Information Services in Distance Learning, 11(1-2), 59-67.

Godsk, Mikkel & Nielsen, Birgitte. (2024). Online Teacher Professional Development (oTPD) for Digital Competencies in Higher Education: A Systematic Review of the Literature. Nordic Journal of Systematic Reviews in Education. 2. 16-57. 10.23865/njsre.v2.5498.

Paulsen, J., & McCormick, A. C. (2020). Reassessing Disparities in Online Learner Student Engagement in Higher Education. Educational Researcher, 49(1), 20-29. https://doi.org/10.3102/0013189X19898690 (Original work published 2020)

Downloads

Published

2025-04-02