Dergiler / Sosyal Bilimler ve Eğitim Dergisi / 2023 / Cilt: 6 Sayı: Education Special Issue

Articles on Education and Artificial Intelligence: A Bibliometric Analysis

Sayfa
279–312
Yayın Tarihi
2023-09-25
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The rich insights into evolving trends, dominant themes, and research priorities position this work as a resource for both academia and industry.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In our rapidly evolving technological landscape, the educational sector is undergoing a profound transformation with the integration of artificial intelligence (AI).
📊
Temel Bulgular & Veri:By employing advanced bibliometric techniques, an analysis of 6498 articles spanning the years 1980 to 2022 is conducted, revealing core thematic areas, influential author networks, and the dynamic evolution of keywords.
💡
Sonuç & Katkı:The rich insights into evolving trends, dominant themes, and research priorities position this work as a resource for both academia and industry.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2022 Verileri
⚙️Değişkenler:Artificial ıntelligence · education · bibliometric analysis

Abstract

In our rapidly evolving technological landscape, the educational sector is undergoing a profound transformation with the integration of artificial intelligence (AI). This study undertakes a comprehensive investigation at the intersection of education and AI to shed light on emerging trends and intricate relationships. By employing advanced bibliometric techniques, an analysis of 6498 articles spanning the years 1980 to 2022 is conducted, revealing core thematic areas, influential author networks, and the dynamic evolution of keywords. The remarkable annual growth rate of 22.68% in published articles underscores the rapid expansion of this field. Noteworthy contributors include prominent countries such as China, the US, the UK, Australia, and India. Predominant themes like Machine Learning and AI permeate the discourse, while visually engaging word clouds highlight the most prominent keywords. Through meticulous thematic analysis, this study categorizes themes into core, niche, emerging, and declining categories, providing a nuanced understanding of focal points and underserved areas. The insights gained from this analysis hold significant implications for both researchers and policymakers, helping to shape future directions in the realm of education and AI. This study takes a forward-looking perspective, envisioning the dynamic future where education and AI intertwine, offering guidance for research endeavors and strategic decision-making. In essence, this study not only encapsulates the historical and current landscape of education and AI but also forecasts their potential trajectories. The rich insights into evolving trends, dominant themes, and research priorities position this work as a resource for both academia and industry.

🔖

Bu Makaleye Atıf Yap

METLİ, A. (2023). Articles on Education and Artificial Intelligence: A Bibliometric Analysis. Sosyal Bilimler ve Eğitim Dergisi, Cilt: 6 Sayı: Education Special Issue, 279–312. https://ajindex.com/articles/964713

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (13)

  1. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
  2. Baek, C., & Doleck, T. (2020). A bibliometric analysis of the papers published in the Journal of Artificial Intelligence in Education from 2015-2019, International Journal of Learning Analytics and Artificial Intelligence for Education, 2(1). https://doi.org/10.3991/ijai.v2i1.14481
  3. Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. https://media.nesta.org.uk/documents/Future_of_AI_and_education_v5_WEB.pdf.
  4. Birinci, H. G. (2008). Turkish Journal of Chemistry’nin Bibliyometrik Analizi. Bilgi Dünyası, 9(2), 348-369. https://doi.org/10.15612/BD.2008.310
  5. Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28-47. https://www.jstor.org/stable/48647028
  6. Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., & Herrera, F. (2011).
  7. An Approach for Detecting, Quantifying, and Visualizing the Evolution of a Research Field: A Practical Application to The Fuzzy Sets Theory Field. J. Informetr. 5, 146–166. https://doi.org/10.1016/j.joi.2010.10.002.
  8. Destereci, Z., Karaca, G. G., Baybaş, B., & Tosun, C. (2023). Eğitim Araştırmalarında Kritik Teknoloji Alanlarının Uygulamaları Kapsamında Yayınlanan Makalelerin Eğilimlerinin İncelenmesi: Bibliyometrik Haritalama Analizi. Bilgi ve İletişim Teknolojileri Dergisi, 5(1), 20-45. https://doi.org/10.53694/bited.1261406
  9. Egghe, L. (2006). Theory and Practice of the G-Index. Scientometrics, 69(1), 131-152, https://doi.org/10.1007/s11192-006-0144-7
  10. Harzing, A.W. (2012). Reflections on the H-Index. Business & Leadership, 1(9), 101-106. https://harzing.com/publications/white-papers/reflections-on-the-h-index
  11. 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). https://doi.org/10.3390/educsci9010051
  12. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. National Academy of Sciences United States of America, 102(46), 16569–72. https://doi:10.1073/pnas.0507655102
  13. Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education. Globethics Publications. Kamde