INTEGRATING ARTIFICIAL INTELLIGENCE INTO UNIVERSITY TEACHING: BENEFITS AND CHALLENGES
##semicolon##
Artificial intelligence##common.commaListSeparator## higher education##common.commaListSeparator## university teaching##common.commaListSeparator## generative AI##common.commaListSeparator## assessmentAnnotatsiya
This article examines the integration of artificial intelligence (AI) into university teaching, focusing on practical strategies, pedagogical benefits, and key challenges. It outlines how AI can support course design, personalized learning, assessment, feedback, and student engagement, while emphasizing the continuing central role of the instructor. The paper also addresses risks related to academic integrity, bias, privacy, and overreliance on automated tools. Finally, it proposes actionable recommendations for responsible adoption, including AI literacy development, transparent assessment design, and institutional governance. The article aims to help university educators implement AI in ways that enhance learning outcomes while maintaining ethical and academic standards
