Reconstruyendo las competencias de los supervisores de posgrado desde la perspectiva de la inteligencia artificial
DOI:
https://doi.org/10.5281/zenodo.16948695Palabras clave:
inteligencia artificial, supervisor de posgrado, alfabetización en IA, desafíos e innovacionesResumen
En la era de la inteligencia artificial (IA), el modelo de formación de posgrado está experimentando una transformación significativa, lo que impone nuevas exigencias a las competencias y cualidades de los supervisores de posgrado. Este artículo explora en profundidad la evolución y las vías de mejora de las competencias profesionales de los supervisores de posgrado en el contexto de la IA. Analiza el impacto de la IA generativa en los roles de docentes y estudiantes, así como en la docencia y la investigación en la formación de posgrado. Además, examina la estructura de edad de los supervisores de posgrado y los requisitos de las políticas pertinentes en la era de la IA. Profundiza en las nuevas expectativas de los supervisores en áreas como la alfabetización informacional, la adaptabilidad tecnológica, la competencia colaborativa entre humanos e IA, la capacidad de innovación y la conciencia ética. Finalmente, propone estrategias para mejorar las competencias de los supervisores, incluyendo el fomento de una comprensión adecuada de la tecnología digital, la mejora de los sistemas de formación, el establecimiento de nuevos marcos de evaluación y el fortalecimiento de la colaboración universidad-industria. Estas medidas buscan ayudar a los supervisores de posgrado a satisfacer mejor las necesidades educativas de la era de la IA y promover la integración profunda de la tecnología de IA en la formación de posgrado.
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