ARTIFICIAL INTELLIGENCE AND EDUCATIONAL LEADERSHIP IN PHYSIOTHERAPY

Abstract

AI is quickly transforming educational administration in physiotherapy through data-based curriculum development, flexible student assessment and data-based organizational decision making. Historically, the education of physiotherapists has been administered through an established framework, fixed hierarchical decision-making models and predominantly on the basis of the sound judgment of past experiences and background. Consequently, AI (machine learning, natural language processing, and predictive analytics) is promoting a transformation in the methodologies of educational governance through more personalized, adaptable, and fair models. This chapter examines how AI supports curriculum design competency assessment, faculty development, and institutional governance in physiotherapy education, along with the associated benefits, challenges, policy considerations, and future directions. Finally, this chapter posits that although AI is a technology to assist the development of physiotherapists, it will completely change the way in which physiotherapy education is created, delivered, and assessed and will result in the development of more clinically competent, adaptable, and patient-centred healthcare practitioners.