AI Integration and Teacher Performance in Peruvian Higher Education: An Empirical Study of Educational Dimensions

Riojas Rivera J.R.; Panta Chunga M.I.; Romero Jauregui C.A.; Del Castillo Castillo V.; Luz Marisol C.T.; Ampuero Joyo J.O.; Arapa Carrillo R.S. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2025) · DOI: 10.18687/laccei2025.1.1.1148

Resumen

The integration of Artificial Intelligence (AI) in education is transforming teaching practices and influencing teacher performance. This study explores the correlation between AI adoption and key aspects of teacher performance, including personalized learning, classroom management, and assessment methodologies. Employing a quantitative research design, the study analysed survey responses from 65 university faculty members. Results indicate a moderate yet significant positive correlation between AI usage and teacher performance, particularly in areas such as space and time management, teaching resources, classroom climate, and evaluation methods. These findings underscore the potential of AI to enhance educational quality while highlighting the need for faculty training in AI tools to maximize their pedagogical impact. The study concludes that AI serves as a valuable pedagogical ally, enhancing teaching effectiveness and improving student engagement.

Instituciones: Universidad Privada del Norte; Universidad Nacional de Educación Enrique Guzmán y Valle