Oportunidades y desafíos en la aplicación de la inteligencia artificial en la educación superior

This article addresses the growing intersection of artificial intelligence (AI) in education. It meticulously analyzes how AI can personalize the learning experience, adjusting to the individual abilities of each student, which represents a significant advancement for inclusion. However, it emphasizes that such customization poses ethical and security dilemmas concerning data handling, urging a careful and conscious approach. It highlights the relevance of emotional intelligence and socio-emotional skills in this learning environment, associating with the AI's ability to adapt to the needs of the students. Despite countless opportunities, the inherent challenges to the implementation of AI are also emphasized, including the digital gap and the possibility of inadvertently excluding some groups of students. The conclusion of the article strongly emphasizes the importance of prioritizing ethics in the application of AI in education. It urges those responsible for implementation to ensure that the use of AI in education is always oriented towards the best interests of the students, ensuring an equitable, inclusive, and adaptive learning environment. Keywords: artificial intelligence, higher education, AI opportunities in higher education, AI challenges in higher education, AI ethics.Este artículo aborda la creciente intersección de la inteligencia artificial (IA) en la educación. De manera meticulosa, se analiza cómo la IA puede personalizar la experiencia de aprendizaje, ajustándose a las habilidades individuales de cada estudiante, lo cual representa un avance significativo para la inclusión. No obstante, se recalca que dicha personalización plantea dilemas éticos y de seguridad con respecto al manejo de datos, instando a un enfoque cuidadoso y consciente. Se destaca la relevancia de la inteligencia emocional y las habilidades socioemocionales en dicho entorno de aprendizaje, asociándose con la capacidad de la IA para adaptarse a las necesidades de los estudiantes. A pesar de las innumerables oportunidades, se enfatizan también los desafíos inherentes a la implementación de la IA, incluyendo la brecha digital y la posibilidad de excluir involuntariamente a algunos grupos de estudiantes. La conclusión del artículo enfatiza firmemente la importancia de priorizar la ética en la aplicación de la IA en la educación. Insta a los responsables de la implementación a asegurar que el uso de la IA en la educación siempre se oriente en función del mejor interés de los estudiantes, garantizando un entorno de aprendizaje equitativo, inclusivo y adaptativo. Palabras claves: Inteligencia artificial, educación superior, oportunidades de la IA en la educación superior, desafíos de la IA en la educación superior, ética de la IA. ABSTRACT This article addresses the growing intersection of artificial intelligence (AI) in education. It meticulously analyzes how AI can personalize the learning experience, adjusting to the individual abilities of each student, which represents a significant advancement for inclusion. However, it emphasizes that such customization poses ethical and security dilemmas concerning data handling, urging a careful and conscious approach. It highlights the relevance of emotional intelligence and socio-emotional skills in this learning environment, associating with the AI's ability to adapt to the needs of the students. Despite countless opportunities, the inherent challenges to the implementation of AI are also emphasized, including the digital gap and the possibility of inadvertently excluding some groups of students. The conclusion of the article strongly emphasizes the importance of prioritizing ethics in the application of AI in education. It urges those responsible for implementation to ensure that the use of AI in education is always oriented towards the best interests of the students, ensuring an equitable, inclusive, and adaptive learning environment. Keywords: artificial intelligence, higher education, AI opportunities in higher education, AI challenges in higher education, AI ethics. Información del manuscrito:Fecha de recepción: 05 de julio de 2023.Fecha de aceptación: 20 de septiembre de 2023.Fecha de publicación: 16 de octubre de 2023