EDUCATIONAL REVOLUTION: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON TEACHER TRAINING

Authors

  • William Niebles
  • Hernán Guzmán
  • José Torres

DOI:

https://doi.org/10.52152/801949

Keywords:

Artificial intelligence, Teacher education, Teacher training, Machine learning, Bibliometrics

Abstract

This bibliometric review analyzed 166 documents related to the impact of artificial intelligence in teacher training published in 2014-2024, using R Studio and VOSviewer. The analysis proves that artificial intelligence is revolutionizing the education and training of teachers according to scientific production. Lecture Notes in Computer Science is the most relevant source with 23 publications, while production by country is led by China with 295 documents; The most productive institution comes from there, Central China Normal University with 25 publications contributed. Among the key terms with the greatest impact found are “Artificial intelligence”, “Teacher training”, “Adversarial machine learning”, among others.

Downloads

Published

2025-10-19

Issue

Vol. 23 No. S6 (2025)

Section

Article

License

Copyright (c) 2025 Lex localis - Journal of Local Self-Government

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

EDUCATIONAL REVOLUTION: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON TEACHER TRAINING. (2025). Lex Localis - Journal of Local Self-Government, 23(S6), 1254-1267. https://doi.org/10.52152/801949