Trends in Artificial Intelligence and Educational Technology: A Systematic Analysis

  • Mohd Faireez Bin Mohd Hanafiah AFN Legacy Resources, Block C-10-12, PPR Seri Semarak, Kuala Lumpur
  • Noor Zalina Zainal Universiti Teknologi MARA
  • Erne Suzila Kassim Universiti Teknologi MARA
DOI: https://doi.org/10.22610/imbr.v17i2(I)S.4600
Keywords: Artificial Intelligence, Systematic Analysis, SLR, VosViewer, Educational Technology

Abstract

The faster evolution of artificial intelligence (AI) is changing the field of education by making teaching and learning more personalized, adaptive, and data-driven. As AI gets further integrated into educational technologies (EdTech), student engagement is enhanced by chatbots, VR/AR, intelligent tutors, and ML algorithms, boosting academic achievement and the development of reasoning skills. This change was faster during the COVID-19 pandemic because of the greater emphasis on the role of technology in education, its possibilities, and shortcomings. At the same time, there is increased use of AI-powered technologies in education, and the more prominent ethical issues these technologies pose are algorithmic discrimination, data security, and the implications of systems’ autonomy in making judgments. This research examines the effects of Artificial Intelligence (AI) on Education within the years 2021 - 2025, utilizing a systematic literature review (SLR) and bibliometric analysis through the VOSviewer software. Results delineate dominant research clusters and depict a shift from examining general applications of technology to more nuanced, emerging advancements like contrastive learning and adversarial techniques. The research draws attention to implementing AI in education responsibly while outlining further steps in research and policymaking to ensure educational AI is used to its fullest potential while protecting academic accessibility and institutional neutrality.

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References

Dignum, V. (2021). The role and challenges of education for responsible AI. London Review of Education, 19(1), 1-11.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education. Center for Curriculum Redesign.
Hwang, G.-J., Xie, H., Wah, B. W., & Gaševi?, D. (2020). Vision, challenges, roles, and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001.
Jian, M. J. K. O. (2023). Personalized learning through AI. Advances in Engineering Innovation, 5(1), 16.
Lampou, R. (2023). The Integration of Artificial Intelligence in Education: Opportunities and Challenges. Review of Artificial Intelligence in Education, 4.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2022). AI in education: A critical review. Routledge.
Ma, K., Zhang, Y., & Hui, B.-H. (2024). How Does AI Affect College? The Impact of AI Usage in College Teaching on Students’ Innovative Behavior and Well-Being. Behavioral Sciences, 14(12), 1223.
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. In Algorithms of Oppression. New York University Press.
Pottle, J. (2019). Virtual reality and the transformation of medical education. Future Healthcare Journal, 6(3), 181-185.
Regan, P. M., & Jesse, J. (2019). Ethical challenges of edtech, big data, and personalized learning: Twenty-first century student sorting and tracking. Ethics and Information Technology, 21, 167-179.
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223-235.
Woolf, B., Ghosh, A., Lan, A., Zilberstein, S., Juravizh, T., Cohen, A., & Geho, O. (2020). AI-Enabled Training in Manufacturing Workforce Development. NSF’s Convergence Accelerator Pilot.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education - where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
Published
2025-08-10
How to Cite
Bin Mohd Hanafiah, M. F., Zainal, N. Z., & Kassim, E. S. (2025). Trends in Artificial Intelligence and Educational Technology: A Systematic Analysis. Information Management and Business Review, 17(2(I)S), 240-246. https://doi.org/10.22610/imbr.v17i2(I)S.4600
Issue
Vol 17 No 2(I)S (2025)
Section
Research Paper

Copyright (c) 2025 Mohd Faireez Bin Mohd Hanafiah, Noor Zalina Zainal, Erne Suzila Kassim

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