Desarrollo de una aplicación de recomendación de contenido educativo, personalizado por Inteligencia Artificial, para una asignatura de una carrera de educación superior.

Abstract

Abstract: This work develops a personalized educational content recommendation application using an Artificial Intelligence (AI)-based chatbot for university students. Using advanced technologies such as Google Gemini and the Make.com platform, the system offers accurate and contextualized recommendations, optimizing the search for educational resources and improving the learning experience. The solution addresses problems such as information overload and lack of personalization, providing equitable access to quality materials. The agile Scrum methodology enables iterative and efficient development, validated through usability testing and SUS surveys, which confirmed its acceptability and usefulness. This project contributes to higher education by integrating generative AI to boost academic performance and reduce educational disparities.