Artificial Intelligence as a Support Tool for University Teaching: Opportunities, Challenges and Educational Implications

Abstract

Artificial Intelligence (AI) has emerged as a key support tool for university teaching, transforming instructional processes, learning environments, and academic decision-making. This article presents a bibliographic review analyzing the role of AI in higher education, focusing on its pedagogical applications, benefits, and challenges. The findings show that AI contributes to personalized learning, adaptive instruction, automated assessment, and data-driven teaching strategies that enhance student engagement and academic performance. AI systems also support teachers by reducing administrative workload, improving feedback processes, and strengthening instructional planning. However, ethical concerns, data privacy issues, digital competency gaps, and institutional readiness remain significant challenges for its effective implementation. The study concludes that AI represents a strategic resource for educational innovation and digital transformation in universities, reinforcing teaching practices while complementing, not replacing, the human role of educators in fostering critical thinking, ethical awareness, and meaningful learning experiences for future educational development.

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