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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Examining the Correlation between the Use of e-Learning Platforms' Tools and Instructors' Performance using A Bibliometric Study

Baher Mousa, Norasykin Binti Mohd Zaid, Hassan Abuhassna, Ghalib Khazal Mohammed

http://dx.doi.org/10.6007/IJARBSS/v14-i5/21501

Open access

This research analyses how e-learning platforms' capabilities affect instructors' performance pre- and post-pandemic and their influence on educational practices. This research utilises PRISMA to summarise works that link e-learning platforms' tools and instructors' performance to modern education. Scopus was chosen for its extensive coverage and reputation as a scholarly article analysis tool. VosViewer software let researchers graph and show database data linkages. Results were reduced to 1,422 relevant papers using inclusion and exclusion criteria. Educational technology, such as e-learning platforms and teacher performance, is not just trendy but essential. The focus on research reflects this shift. The list of significant publications, countries, and organisations contributing to this issue indicates their global impact. The study highlights the transdisciplinary nature of machine learning and education research by focusing on the most prolific authors and important keywords. The rise in author publications following the epidemic suggests that education has changed. Various teaching and learning approaches are offered with technology-based solutions, including e-learning platforms and instructor performance. The keywords and articles indicate how collaborative and diverse this study is. Designing the finest platformer tools for e-learning instructional strategies and improving instructors' digital platform performance requires ongoing study. The report suggests more research on e-learning platform technologies and instructor performance. To analyse, compare, and enhance the effect of e-learning platforms' tools and increase instructors' performance, apps, platforms, and approaches must be continuously developed to grow knowledge.

Niemczyk, E. K. (2021). The impact of COVID-19 on higher education institutions: Focus on research and teaching practice. Bulgarian Comparative Education Society.
Samsul, S. A., Yahaya, N., & Abuhassna, H. (2023). Education big data and learning analytics: A bibliometric analysis. Humanities and Social Sciences Communications, 10(709). https://doi.org/10.1057/s41599-023-02176-x.
Yang, C., Huan, S., & Yang, Y. (2020). A practical teaching mode for colleges supported by artificial intelligence. International Journal of Emerging Technologies in Learning, 15(17), 195-206. https://doi.org/10.3991/ijet.v15i17.16737
Zeng, Z., Chen, P. J., & Lew, A. A. (2020). From high-touch to high-tech: COVID-19 drives robotics adoption. Tourism Geographies, 22(3), 724-734.
Abuhassna, H., Freed, A., Bayoumi, K., Alzitawi, D. U., Alsharif, A. H., & Yahaya, N. (2022a). Understanding online learning readiness among university students: A bibliometric analysis. International Journal of Interactive Mobile Technologies (iJIM), 16(13), 81–94. https://doi.org/10.3991/ijim.v16i13.30605
Khan, F., & Bose, D. (2021). Artificial intelligence enabled smart learning. arXiv preprint arXiv:2101.02991.
Abuhassna, H., & Alnawajha, S. (2023a). Instructional design made easy! Instructional design models, categories, frameworks, educational context, and recommendations for future work. European Journal of Investigation in Health, Psychology and Education, 13(4), 715-735. https://doi.org/10.3390/ejihpe13040054
Moher, D., et al. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ.
Mishra, V., & Mishra, M. P. (2023). PRISMA for review of management literature–Method, merits, and limitations–An academic review. Advancing Methodologies of Conducting Literature Review in Management Domain, 125-136.
Abuhassna, H., & Alnawajha, S. (2023b). The transactional distance theory and distance learning contexts: Theory integration, research gaps, and future agenda. Education Sciences, 13(112). https://doi.org/10.3390/educsci13020112
Orduña-Malea, E., & Costas, R. (2021). Link-based approach to study scientific software usage: The case of VOSviewer. Scientometrics, 126, 8153–8186. https://doi.org/10.1007/s11192-021-04082-y
Al-Shabandar, R., Hussain, A. J., Liatsis, P., Keight, R. (2018) Analyzing learners’ behavior in MOOCs: An examination of performance and motivation using a data-driven approach. IEEE Access 6:73669–73685
Abuuhassa, H., Freed, A., Mohamad, A.(2024). “Exploring the synergy between instructional design models and learning theories: A systematic literature review” Contemporary Educational Technology, 16(1), ISSN: 1309-517
(http://creativecommons.org/licenses/by/4.0/).
Alhayan, F., Abuhassna, H. (2024). “A Comprehensive Bibliometric Analysis of Cybersecurity Trends on Cloud Computing”. International Journal Of Academic Research In Business And Social Sciences Vol. 1 4 , No. 1, E-ISSN: 2222-6990 , DOI:10.6007/IJARBSS/v14-i1/20711,. http://dx.doi.org/10.6007/IJARBSS/v14-i1/20711.
Samsul, S. A., Yahaya, N., & Abuhassna, H. (2023). Education big data and learning analytics: a bibliometric analysis. Humanities and Social Sciences Communications, 10(1). doi:10.1057/s41599-023-02176-x.

(Mousa et al., 2024)
Mousa, B., Zaid, N. B. M., Abuhassna, H., & Mohammed, G. K. (2024). Examining the Correlation between the Use of e-Learning Platforms’ Tools and Instructors’ Performance using A Bibliometric Study. International Journal of Academic Research in Business and Social Sciences, 14(5), 186–204.