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Advances in Artificial Intelligence in Education: Leading Contributors, Current Hot Topics, and Emerging Trends

Year 2024, Volume: 11 Issue: H. Ferhan Odabaşı Gift Issue, 95 - 113, 31.12.2024
https://doi.org/10.17275/per.24.96.11.6

Abstract

Artificial Intelligence (AI) has emerged as a burgeoning field in education, characterized by rapid growth and diverse research interests. This study employs bibliometric analysis to explore the landscape of AI research in education, focusing on studies indexed in the Web of Science (WOS) database. A comprehensive search identified 1383 articles published between 1981 and 2024, which were analysed using the Bibliometrix R package. The analysis encompassed performance analysis, science mapping, and network analysis, yielding visualizations such as annual scientific production trends, most cited documents, and thematic maps. Key findings reveal a substantial increase in AI research from 2022 onwards, underscoring a shift towards longitudinal studies to track AI's evolution and impacts in educational contexts. Ethical considerations, data privacy, and societal implications emerged as critical areas requiring further investigation. While early studies focused on intelligent tutoring systems, contemporary research highlights topics like ChatGPT, machine learning, and higher education. The interdisciplinary nature of AI in education is evident through its publication in journals spanning educational technology and related fields. Future research directions emphasize the need for comprehensive studies addressing ethical frameworks and guidelines for responsible AI integration in education. Bridging technological advancements with pedagogical strategies is essential for developing integrative models that enhance personalized learning and educational outcomes. Ongoing bibliometric analyses will play a pivotal role in identifying emerging trends and guiding future research endeavours in AI and education.

Ethical Statement

This study does not contain any studies with human participants and/or animals performed by any of the authors.

References

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Year 2024, Volume: 11 Issue: H. Ferhan Odabaşı Gift Issue, 95 - 113, 31.12.2024
https://doi.org/10.17275/per.24.96.11.6

Abstract

References

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  • Arruda, H., Silva, E. R., Lessa, M., Proença Jr, D., & Bartholo, R. (2022). VOSviewer and bibliometrix. Journal of the Medical Library Association: JMLA, 110(3), 392. https://doi.org/10.5195/jmla.2022.1434
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  • Chou, C. Y., Chan, T. W., & Lin, C. J. (2003). Redefining the learning companion: the past, present, and future of educational agents. Computers & Education, 40(3), 255-269. https://doi.org/10.1016/S0360-1315(02)00130-6
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146-166. https://doi.org/10.1016/j.joi.2010.10.002
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  • Delgado, H. O. K., de Azevedo Fay, A., Sebastiany, M. J., & Silva, A. D. C. (2020). Artificial intelligence adaptive learning tools: the teaching of English in focus. BELT-Brazilian English Language Teaching Journal, 11(2), e38749. https://doi.org/10.15448/2178-3640.2020.2.38749
  • 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
  • Emin, C., Kayri, M., & Doğan, E. (2024). Examining the Influence of Narcissism and Some Demographic Variables on Online Shopping Addiction via the Exhaustive CHAID Method. International Journal of Mental Health and Addiction, 1-17. https://doi.org/10.1007/s11469-024-01273-5
  • Faria, L., Silva, A., Vale, Z., & Marques, A. (2009). Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems. IEEE Transactions on Learning Technologies, 2(2), 135-147. https://doi.org/10.1109/TLT.2009.16
  • Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846
  • Fyfe, P. (2023). How to cheat on your final paper: Assigning AI for student writing. AI & Society, 38(4), 1395–1405. https://doi.org/10.1007/s00146-022-01397-z
  • García, P., Amandi, A., Schiaffino, S., & Campo, M. (2007). Evaluating Bayesian networks’ precision for detecting students’ learning styles. Computers & Education, 49(3), 794-808. https://doi.org/10.1016/j.compedu.2005.11.017
  • Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. The International Journal of Management Education, 18(1), 100330. https://doi.org/10.1016/j.ijme.2019.100330
  • 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, 1-23. https://doi.org/10.1007/s10639-024-12491-8
  • Halff, H. M. (1986). Instructional applications of artificial intelligence. Educational Leadership, 43(6), 24-31.
  • Haque, M. U., Dharmadasa, I., Sworna, Z. T., Rajapakse, R. N., & Ahmad, H. (2022). " I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data. arXiv preprint arXiv:2212.05856. https://doi.org/10.48550/arXiv.2212.05856
  • Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051
  • Hwang, G. J. (2003). A conceptual map model for developing intelligent tutoring systems. Computers & Education, 40(3), 217-235. https://doi.org/10.1016/S0360-1315(02)00121-5
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There are 67 citations in total.

Details

Primary Language English
Subjects Specialist Studies in Education (Other)
Journal Section Research Articles
Authors

Ezgi Doğan 0000-0001-8011-438X

Ferhan Şahin 0000-0003-4973-9562

Early Pub Date December 30, 2024
Publication Date December 31, 2024
Submission Date October 1, 2024
Acceptance Date December 11, 2024
Published in Issue Year 2024 Volume: 11 Issue: H. Ferhan Odabaşı Gift Issue

Cite

APA Doğan, E., & Şahin, F. (2024). Advances in Artificial Intelligence in Education: Leading Contributors, Current Hot Topics, and Emerging Trends. Participatory Educational Research, 11(H. Ferhan Odabaşı Gift Issue), 95-113. https://doi.org/10.17275/per.24.96.11.6