Acortando la brecha: aplicación de la IA y la estadística bayesiana a la formación tradicional en liderazgo educativo
DOI:
https://doi.org/10.31637/epsir-2024-916Palabras clave:
Liderazgo, Inteligencia Artificial, educación superior, Análisis Bayesiano, Aprendizaje basado en proyectos, Estrategias educativas, desarrollo curricular, éxito profesionalResumen
Introducción: En el dinámico panorama de las organizaciones modernas, el liderazgo es una competencia vital. Sin embargo, los enfoques tradicionales uniformes a menudo no abordan los desafíos diversos que presentan los entornos contemporáneos. Las transformaciones sociales, educativas y tecnológicas, incluyendo el auge de la inteligencia artificial (IA), requieren un cambio hacia estilos de liderazgo más adaptativos. Metodología: Este estudio explora el liderazgo situacional en la educación superior, centrándose en su capacidad de respuesta a la gestión de recursos impulsada por IA y su papel en el fomento del éxito profesional. Utilizando análisis bayesiano, el estudio evalúa la efectividad del aprendizaje basado en proyectos (PBL) en el desarrollo de cualidades de liderazgo. Se analizaron datos de 404 educadores de 28 instituciones, abarcando diez variables relacionadas con el liderazgo y PBL. Resultados: Los resultados ofrecen ideas sobre el desarrollo curricular y estrategias educativas para dotar a los estudiantes de habilidades esenciales para el éxito profesional. Discusión: El liderazgo situacional, desarrollado por Hersey y Blanchard, enfatiza la adaptación de los estilos de liderazgo a la madurez de los seguidores y situaciones específicas, destacando la necesidad de flexibilidad en entornos dinámicos. Conclusiones: El enfoque en la madurez de los seguidores distingue este modelo de los modelos de liderazgo estáticos, subrayando su relevancia duradera.
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