Análisis Cienciométrico de la Intersección de la Educación STEM e Inteligencia Artificial: Tendencias y Perspectivas
DOI:
https://doi.org/10.18041/2619-4465/interfaces.2.13401Palavras-chave:
Educación STEM, Inteligencia Artificial, Análisis cienciométrico, Innovación educativa, Aprendizaje personalizadoResumo
La intersección entre la Inteligencia Artificial (IA) y la educación STEM se ha convertido en un área de interés creciente. Aunque varios estudios han abordado la IA en contextos educativos, pocos han ofrecido una visión integral de su relación con los campos STEM. Por lo tanto, el objetivo de este artículo es examinar la evolución de la investigación académica en esta área a través de un enfoque cienciométrico. Se realizó una búsqueda sistemática en las bases de datos Scopus y Web of Science, centrándose en publicaciones que incluyen los términos "STEM", "educación", "artificial" e "inteligencia". Los resultados destacan dos fases principales: un periodo inicial de crecimiento gradual y una fase reciente de rápida expansión y consolidación. El análisis identifica a Estados Unidos, China y España como los países con mayor producción científica, y resalta el papel de autores clave como Kumar A. y Sharma R. El análisis de redes revela temas emergentes como el aprendizaje personalizado, la gamificación y el desarrollo de habilidades de pensamiento computacional. Este estudio proporciona una base sólida para que investigadores y educadores identifiquen tendencias y áreas de oportunidad para la innovación futura en la educación STEM impulsada por la IA.
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