Artificial Intelligence in Education: A Bibliometric Analysis of Research Trends and Future Directions
DOI:
https://doi.org/10.24191/abrij.v11i2.8586Keywords:
Artificial Intelligence, Education, Bibliometric Analysis, Machine LearningAbstract
This study aims to explore the research trends, intellectual structure, and emerging themes in Artificial Intelligence (AI) applications in education through a bibliometric approach. As AI adoption in education accelerates, understanding these patterns is essential for guiding future research and practical implementation. To achieve this, a bibliometric analysis was conducted on 3,441 documents published between 2010 and 2025, retrieved from major academic databases. Using VOSviewer, the study applied network, density, and overlay visualization to identify co-authorship networks, keyword co-occurrence, and thematic clusters. The findings reveal that machine learning and deep learning dominate the field, forming the core of research themes, while clusters highlight topics such as personalized learning, decision-making, ethical issues, and emerging technologies like generative AI. Early studies focused on foundational methods such as expert systems and fuzzy logic, whereas recent research emphasizes human-centered concerns, including privacy, fairness, and responsible AI use. The integration of AI with big data, IoT, and advanced analytics for educational management also shows significant growth. These insights provide valuable guidance for educators, policymakers, and researchers in promoting the ethical, inclusive, and effective application of AI in education.
References
Ahmed, S., Rahman, M. S., Kaiser, M. S., & Hosen, A. S. M. S. (2025). Advancing personalized and inclusive education for students with disability through artificial intelligence: Perspectives, challenges, and opportunities. Digital, 5(2), Article 11. https://doi.org/10.3390/digital5020011
Alwakid, W. N., Dahri, N. A., Humayun, M., & Alwakid, G. N. (2025). Exploring the role of AI and teacher competencies on instructional planning and student performance in an outcome based education system. Systems, 13(7), Article 517. https://doi.org/10.3390/systems13070517
Babu, C. S., Kirubakar, P., & Aswin, K. (2025). Revolutionizing learning: The impact of AI driven technologies in education. In Educational AI Humanoid Computing Devices for Cyber Nomads (pp. 145–172). IGI Global.
Baillifard, A., Gabella, M., Lavenex, P. B., & Martarelli, C. S. (2025). Effective learning with a personal AI tutor: A case study. Education and Information Technologies, 30(1), 297–312. https://doi.org/10.1007/s10639-024-12888-5
Bhardwaj, V., & Kumar, M. (2025). Transforming higher education with robotic process automation: Enhancing efficiency, innovation, and student centered learning. Discover Sustainability, 6, Article 1. https://doi.org/10.1007/s43621-025-01198-6
Chan, M. M., Rosales, M., Hernandez Rizzardini, R., & Amado Salvatierra, H. R. (2025, April). Ethical AI in education: A proposed model for responsible integration. In 2025 IEEE Global Engineering Education Conference (EDUCON) (pp. 1–7). IEEE. https://doi.org/10.1109/EDUCON62633.2025.11016451
Chaudhary, G. (2024). Unveiling the black box: Bringing algorithmic transparency to AI. Masaryk University Journal of Law and Technology, 18(1), 93–122. https://doi.org/10.5817/MUJLT2024-1-4
Cota Rivera, E. I., Correa, M. E. G., Marín, L. A. B., Montenegro, M. Y. M., Herrera, A. M., & Martinez, M. A. A. M. (2024). Transforming education with the power of artificial intelligence: Case studies. In Enhancing Higher Education and Research with OpenAI Models (pp. 113–140). IGI Global.
Dei, M. O. (2025). The impact of AI on the adaptation of educational materials and teaching methods to the needs of each student. LatIA, 3, Article 124. https://doi.org/10.62486/latia2025124
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Ekin, Ç. C., Cantekin, Ö. F., Polat, E., & Hopcan, S. (2025). Artificial intelligence in education: A text mining based review of the past 56 years. Education and Information Technologies, 30(9), 11971–12013. https://doi.org/10.1007/s10639-024-13225-6
Farhah, N. S., Wadood, A., Alqarni, A. A., Uddin, M. I., & Aldhyani, T. H. (2025). Enhancing adaptive learning with generative AI for tailored educational support for students with disabilities. Journal of Disability Research, 4(3), Article 20250012. https://doi.org/10.57197/JDR-2025-0012
Fauziddin, M., Adha, T. R., Arifiyanti, N., Indriyani, F., Rizki, L. M., Wulandary, V., & Reddy, V. S. V. (2025). The impact of AI on the future of education in Indonesia. Educative: Jurnal Ilmiah Pendidikan, 3(1), 11–16. https://doi.org/10.70437/educative.v3i1.828
Funda, V., & Francke, E. (2024). Artificial intelligence powered decision support system for operational decision-making in the ICT department of a selected African university. African Journal of Science, Technology, Innovation and Development, 16(5), 689–701. https://doi.org/10.1080/20421338.2024.2376916
Guo, S., Zheng, Y., & Zhai, X. (2024). Artificial intelligence in education research during 2013–2023: A review based on bibliometric analysis. Education and Information Technologies. Advance online publication. https://doi.org/10.1007/s10639-024-12491-8
Hanna, M. G., Pantanowitz, L., Jackson, B., Palmer, O., Visweswaran, S., Pantanowitz, J., Deebajah, M., & Rashidi, H. H. (2025). Ethical and bias considerations in artificial intelligence/machine learning. Modern Pathology, 38, Article 100686. https://doi.org/10.1016/j.modpat.2024.100686
Karmakar, S., & Das, T. (2024). Effect of artificial intelligence on education. In Optimization and Computing Using Intelligent Data Driven Approaches for Decision Making (pp. 198–211). CRC Press. https://doi.org/10.1201/9781003536796-8
Kavitha, R. K., Krupa, C. R., & Kaarthiekheyan, V. (2025). AI powered digital solutions for smart learning: Revolutionizing education. In Cybersecurity and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities, and Communities (pp. 213–227). CRC Press. https://doi.org/10.1201/9781032711300-15
Luckin, R. (2024). Nurturing human intelligence in the age of AI: Rethinking education for the future. Development and Learning in Organizations: An International Journal, 39(3), 1–4. https://doi.org/10.1108/DLO-04-2024-0108
Medina, W. A., Flores Velásquez, C. H., Olivares Zegarra, S. D. R., Morales Romero, G. P., Quispe Andía, A., Aybar Bellido, I. E., … Bravo, N. A. (2024). Using ChatGPT in university academic writing: A bibliometric review study on the implications for writing reports, papers, essays, and theses. International Journal of Learning, Teaching and Educational Research, 23(12), 360–381. https://doi.org/10.26803/ijlter.23.12.19
Molina, E., & Medina, E. (2025). AI Revolution in Higher Education.
Murdoch, B. (2021). Privacy and artificial intelligence: Challenges for protecting health information in a new era. BMC Medical Ethics, 22, Article 122. https://doi.org/10.1186/s12910-021-00687-3
Nyamwange, C. (2025). Assessing the extent of integration of artificial intelligence in teaching and learning at Kenyan universities. Pan African Journal of Education and Social Sciences, 6(1), 76–87. https://doi.org/10.56893/pajes2025v06i01.06
Olafare, F. O. (2024). Artificial intelligence in educational technology: Panacea to efficient instructional delivery. In Educational Broadcasting in Nigeria in the Age of Artificial Intelligence (pp. 217–223). Cham: Springer Nature Switzerland.
Perkins, M. (2023). Academic integrity considerations of AI large language models in the post pandemic era: ChatGPT and beyond. Journal of University Teaching & Learning Practice, 20(2). https://doi.org/10.53761/1.20.02.07
Rinaldi, G., Crema Garcia, F., Agudelo Manozca, O., Becker, T., Vanthournout, K., Mestdagh, W., & De Moor, B. (2023). A framework for a data quality module in decision support systems: An application with smart grid time. In Proceedings of ICEIS 2023 (pp. 443–452).
Singh, T. M., Reddy, C. K. K., Murthy, B. R., Nag, A., & Doss, S. (2025). AI and education: Bridging the gap to personalized, efficient, and accessible learning. In Internet of Behavior-Based Computational Intelligence for Smart Education Systems (pp. 131–160). IGI Global. https://doi.org/10.4018/979-8-3693-8151-9.ch005
Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2025). AI driven adaptive learning for sustainable educational transformation. Sustainable Development, 33(2), 1921–1947. https://doi.org/10.1002/sd.3221
Sumathy, V., & Navamani, G. (2024). AI-Driven Personalized Learning: Enhancing Student Success through Adaptive Technologies. Library Progress – Library Science, Information Technology & Computer, 44(3), 16235–16242.
Vadivel, S., Banupriya, R., Nivodhini, M. K., Surendhar, N. D., Subashree, N., & Murali, M. S. (2025, May). AI powered personalization in online learning systems for enhanced engagement and effective learning using collaborative and content-based filtering algorithms. In Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) (pp. 1114–1139). Atlantis Press. https://doi.org/10.2991/978-94-6463-718-2_94
Velmurugan, R., Bhuvaneswari, R., Kalimuthu, M., & Abey, J. (2026). The role of AI in immersive learning in teacher education: Simulated environments, tools, and practices. In Immersive Learning in Teacher Education: Simulated Environments, Tools, and Practices (pp. 31–58). IGI Global. https://doi.org/10.4018/979-8-3693-9861-6.ch002
Wang, D., & Huang, X. (2025). Transforming education through artificial intelligence and immersive technologies: Enhancing learning experiences. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2025.2465451
Wongmahesak, K., Karim, F., & Wongchestha, N. (2025). Artificial intelligence: A catalyst for sustainable effectiveness in compulsory education management. Asian Education and Learning Review, 3(1), Article 4. https://doi.org/10.14456/aelr.2025.4
Xu, X. (2025). AI optimization algorithms enhance higher education management and personalized teaching through empirical analysis. Scientific Reports, 15(1), 10157. https://doi.org/10.1038/s41598-025-94481-5
Yadav, S. (2025). Leveraging AI to enhance teaching and learning in education: The role of artificial intelligence in modernizing classroom practices. In Optimizing Research Techniques and Learning Strategies with Digital Technologies (pp. 211–238). IGI Global Scientific Publishing
Yaseen, H., Mohammad, A. S., Ashal, N., Abusaimeh, H., Ali, A., & Sharabati, A. A. A. (2025). The impact of adaptive learning technologies, personalized feedback, and interactive AI tools on student engagement: The moderating role of digital literacy. Sustainability, 17(3), Article 1133. https://doi.org/10.3390/su17031133
Zhang, J. (2024). Application of Artificial Intelligence tools in educational assessment: Enhancing teaching and learning management in Beijing junior high schools. Eurasian Journal of Educational Research (EJER), (112).
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Copyright (c) 2020 Noorizan Mohamad Mozie, Erne Suzila Kassim, Nornazirah Ramli, Juli Dwina Puspita Sari
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