Inteligencia artificial en la educación universitaria: una revisión sistemática sobre la mejora de la calidad y el rendimiento académico
DOI:
https://doi.org/10.23857/dc.v10i4.4136Palabras clave:
inteligencia artificial, calidad educativa, rendimiento académico, educación superiorResumen
La inteligencia artificial (IA) es un conjunto de tecnologías que utilizan algoritmos informáticos para imitar la inteligencia humana, de tal manera que los usuarios tengan la sensación de estar interactuando con otra persona. Esta nueva tecnología posee un gran potencial para acelerar el proceso de realización y desarrollo de los objetivos globales en torno a la educación al reducir las barreras de acceso al aprendizaje, automatizar los procesos de gestión y optimizar los métodos para mejorar el rendimiento de los estudiantes y, como resultado, los resultados del aprendizaje. Con respecto a la educación superior, el registro de los avances significativos en inteligencia artificial abre nuevas posibilidades y desafíos para el aprendizaje, lo cual propicia el inicio de una nueva era para las instituciones universitarias. Las experiencias de aprendizaje personalizadas con IA, diseñadas en torno a las habilidades únicas, preferencias de aprendizaje e intereses de cada estudiante, pueden elevar los niveles de participación, motivación y dominio conceptual. En este sentido, se puede determinar que esta incorporación de tecnologías, recursos y estrategias de IA a las metodologías de enseñanza es un avance fundamental en el camino hacia el logro de un aprendizaje significativo e integrado. En base a lo anteriormente planteado se desarrolló la presente revisión bibliográfica con el objetivo de analizar el impacto de la inteligencia artificial en la educación universitaria, con especial énfasis en la mejora de la calidad educativa y el rendimiento académico.
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