La integración de la IA en la educación superior: Una experiencia en el aprendizaje estudiantil
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Tribunal
Abstract
La integración de la inteligencia artificial en la educación superior revoluciona el aprendizaje al ofrecer experiencias educativas personalizadas y relevantes. El objetivo de esta investigación fue evaluar la percepción de estudiantes universitarios con relación al uso de inteligencias artificiales en sus actividades docentes. Se trabajó un un enfoque cuantitativo con un diseño descriptivo transversal. La población fue de 30º estudiantes universitarios. Los principales resultados destacan que el 38.67% de los estudiantes han utilizado herramientas de IA, mientras el 36.67% logra un impacto muy positivo en su aprendizaje y el 44% mejora significativa su rendimiento académico. Se concluye que la integración de la IA en educación superior genera percepciones duales entre los estudiantes: un segmento valora su potencial para optimizar el aprendizaje mediante personalización y eficiencia, mientras otra evidencia muestra resistencias por brechas formativas y técnicas. La adopción varía según disciplinas académicas, siendo mayor en áreas técnicas.
The integration of artificial intelligence in higher education revolutionizes learning by offering personalized and relevant educational experiences. The objective of this research was to evaluate the perception of university students regarding the use of artificial intelligence in their teaching activities. A quantitative approach was used with a cross-sectional descriptive design. The population was 30% university students. The main results highlight that 38.67% of students have used AI tools, while 36.67% achieve a very positive impact on their learning and 44% significantly improve their academic performance. It is concluded that the integration of AI in higher education generates dual perceptions among students: one segment values its potential to optimize learning through personalization and efficiency, while other evidence shows resistance due to training and technical gaps. Adoption varies according to academic disciplines, being higher in technical areas.
The integration of artificial intelligence in higher education revolutionizes learning by offering personalized and relevant educational experiences. The objective of this research was to evaluate the perception of university students regarding the use of artificial intelligence in their teaching activities. A quantitative approach was used with a cross-sectional descriptive design. The population was 30% university students. The main results highlight that 38.67% of students have used AI tools, while 36.67% achieve a very positive impact on their learning and 44% significantly improve their academic performance. It is concluded that the integration of AI in higher education generates dual perceptions among students: one segment values its potential to optimize learning through personalization and efficiency, while other evidence shows resistance due to training and technical gaps. Adoption varies according to academic disciplines, being higher in technical areas.
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Vol. 5, No. 11