Resumen

RUIZ REYNOSO, Adriana Mercedes; DELGADILLO GOMEZ, Patricia  y  HERNANDEZ BONILLA, Blanca Estela. Innovations in teaching and learning through Artificial Intelligence at the UAEM University Center Valle de México. RIDE. Rev. Iberoam. Investig. Desarro. Educ [online]. 2025, vol.15, n.30, e888.  Epub 08-Ago-2025. ISSN 2007-7467.  https://doi.org/10.23913/ride.v15i30.2431.

This research analyzed the integration of artificial intelligence (AI) in the educational processes of the Centro Universitario UAEM Valle de México, with emphasis on its impact on the personalization of learning, the automation of evaluations, and the development of professional skills in higher education students. The objective was to design a strategy that incorporates technological tools to optimize the interaction between students, teachers, and educational content, promoting personalized learning experiences and innovative pedagogical practices.

The pilot test, conducted with 30 students enrolled in the Bachelor's Degree in Administrative Informatics, utilized platforms such as Seduca (a digital academic management system used in Mexican universities), Proctorio (an AI-based exam proctoring tool), ScribeSense (automated assessment tool), Duolingo, and Coursera, facilitating tasks such as secure testing, automated grading, and soft skills development.

The results showed that personalized learning increased understanding and knowledge retention by 25%, while automated evaluation reduced grading time by 40% and improved average grades by 20%. Additionally, 85% of students expressed satisfaction with the tools used, and 90% showed progress in teamwork, leadership, and problem-solving skills.

This evidence highlights improvements in educational processes achieved through AI implementation and proposes a model that combines adaptive learning, efficient evaluations, and the holistic development of competencies. This approach demonstrates significant potential for scaling these technologies across other academic programs, thereby enhancing student training in diverse educational contexts.

Palabras llave : Artificial Intelligence; Higher Education; Professional Skills; Personalized Learning.

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