Innovation in the use of AI in teaching undergraduate students

Abstract

This qualitative research aimed to examine the impact of AI on undergraduate teaching and learning processes and to examine the impact of AI on adapting teaching and learning for undergraduate students. Data collection was conducted using interviews, document analysis, and in-depth interviews with 17 key informants. A purposive, triangulated approach was used to analyze data, interpret it, and draw inductive conclusions. The results revealed that artificial intelligence (AI) significantly impacts the development of undergraduate teaching and learning processes, enabling more flexibility and responsiveness to learners' needs. AI helps instructors understand student behavior and potential, enabling effective personalized teaching. At the same time, it transforms instructors' roles into facilitators rather than content transmitters. However, the use of AI must be guided by ethical principles and the conscious use of technology to ensure sustainable learning and truly empower students in the 21st century.