A trend in publishing artificial intelligence personalized education: Enhancing learning experiences for university students

Dean Nelson Mojolou and Faerozh Madli and Helmina Thomas and Stephen Laison Sondoh Jr. and Erick Karunia (2024) A trend in publishing artificial intelligence personalized education: Enhancing learning experiences for university students. Journal of Information System and Technology Management (JISTM), 9. pp. 1-17. ISSN 0128-1666

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Abstract

This bibliometric analysis explores the emerging landscape of Artificial Intelligence (AI) in personalized education, revealing a significant growth in research publications from 2004 to 2024. The study examines research trends, publication patterns, and collaborative efforts across disciplines, with findings indicating a sharp increase in publications from 200 per year in 2020 to a projected 500 by 2024. Analyzing data from Scopus, the research highlights AI's transformative potential in higher education, with Social Sciences (46%) and Computer Science (23.3%) dominating the publication landscape. Key themes include personalized learning, adaptive learning technologies, and integrating advanced tools like ChatGPT while addressing critical ethical considerations around data privacy and responsible AI implementation. The global research ecosystem, led by the United States, United Kingdom, and China, demonstrates a collaborative approach to developing AI-driven educational solutions that promise to enhance individual learning experiences and outcomes for university students.

Item Type:	Article
Keyword:	Artificial Intelligence; Personalized Education; Learning Experience
Subjects:	L Education > LB Theory and practice of education > LB5-3640 Theory and practice of education > LB1025-1050.75 Teaching (Principles and practice) Q Science > Q Science (General) > Q1-390 Science (General) > Q300-390 Cybernetics
Department:	FACULTY > Faculty of Business, Economics and Accounting
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	16 May 2025 12:55
Last Modified:	16 May 2025 12:55
URI:	https://eprints.ums.edu.my/id/eprint/43773

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