AI in Higher Education: A Case Study Examining Decision-Making Shifts and Personalised Learning Through Educators' Perspectives

<div> <p><span>Examining educators' perspectives on integrating artificial intelligence (AI) into higher education, this qualitative investigation focuses on decision-making processes and AI-driven personalised learning. Through semi-structured interviews with seven experienced educators from the humanities (including art) and sciences, nine themes emerged in three categories: pedagogical implications, operational considerations, and ethical-professional dimensions. The findings point towards a hybrid model where AI manages routine tasks whilst educators retain pedagogical authority. Although educators did not perceive AI-driven personalised learning as a direct threat to comprehensive education, they highlighted the significance of careful implementation to maintain academic integrity and critical thinking abilities. Key implications for curriculum development, policy reform, and professional development stress the importance of maintaining human judgement. These insights present practical recommendations to effectively include AI whilst preserving the irreplaceable human elements in educational pedagogies.</span></p> </div> <div> <div> <div dir="ltr"> <div> <div> <p dir="auto"></p> </div> </div> </div> </div> </div>