Transformation of teaching strategies in higher education in the context of the development of AI

Abstract

The study explores the evolution of teaching strategies in higher education within the context of the rapid development of artificial intelligence. The aim is to analyse the impact of AI technologies on educatiobal practices and to determine effective ways of integrating them into university teaching. The research is based on a qualitive approach, particulatly the case study method, which includes an analysis of works by Ukrainian and international scholars as well as case studies of AI implementation in educational settings. The main selection criteria were professional teaching experience and AI usage. Purposive sampling was applied to recruit participants who met these criteria. This study has focused on the perspective of educators, but more research is needed on the student side. Future studies should explore how students use AI in their learning and how it affects their critical thinking and academic performance. The goal is to explore personal experiences and views. The findings of the study reveal a significant shift towards individualized learning, adaptive assessment, and increased use of AI teaching strategies. The research concludes that successful integration of AI demands not only technological preparedness, but also pedagogical innovation and educational support.