Inteligencia computacional, robótica educativa e inteligencia artificial en el ámbito educativo. Un estudio bibliométrico y modelación temática
DOI:
https://doi.org/10.46661/ijeri.10369Palabras clave:
tendencias de investigación, aprendizaje automático LDA, desafíos éticos, análisis de impacto, innovación en educaciónResumen
Este estudio aborda la convergencia entre tecnología y educación, explorando el impacto de paradigmas como la "inteligencia computacional", la "robótica educativa" y la "inteligencia artificial" en la investigación educativa. La metodología se definió en tres etapas. En la primera etapa se eligió la base de datos Web of Science y se desarrolló una cadena de búsqueda. La segunda etapa implicó la selección de estudios mediante criterios de inclusión/exclusión y el uso de PRISMA. La tercera etapa incluyó la extracción y análisis de datos cuantitativos y cualitativos, utilizando software bibliométrico, análisis de contenido y herramientas como R Studio, Bibliometrix, VOSViewer y Python. Se revela un crecimiento anual del 56,51% entre 2019 y 2023, con 208 obras. "Sustainability" lidera las revistas con 39 artículos, lo que indica concentración en revistas altamente productivas. El análisis de la coocurrencia de palabras clave revela áreas temáticas frecuentes, destacando "inteligencia artificial", "educación", "tecnología", "aprendizaje automático" y "Big data". La institución líder es la Universidad China de Hong Kong, mientras que China destaca con 61 trabajos a nivel de país. Destaca la importancia de considerar calidad y cantidad en la producción científica e identifica cinco temas clave en los resúmenes de investigación, sugiriendo áreas de investigación enfocadas en la integración de tecnología e innovación educativa.
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Derechos de autor 2024 Alejandra Corina Vargas, Marcos Antonio Espinoza Mina, Luis López Catálan, Blanca López Catalán
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
