Implementation of Learning Analytics in Medical Education

This book chapter explores learning analytics (LA) in the context of medical education. It begins by establishing foundational aspects, defining learning and LA, and examining a systems approach to the subject. The chapter then delves into the multifaceted role of LA in medical education, spanning admissions processes, undergraduate and postgraduate medical education, continuing professional development, and its broader impact on health systems, from frontline data collection to interpretation, as well as policy development and ethical considerations. The authors then also address dilemmas and controversies associated with LA in medical education. Key issues explored include LA literacy and sustainability, variations in perceptions among stakeholders, biases in modeling, and the challenges posed by data beyond physician-generated sources. Finally, the authors explore future opportunities in the field of LA in medical education. It discusses potential avenues for growth, innovation, and the integration of emerging technologies. This chapter provides a nuanced understanding of the complexities and possibilities inherent in the application of LA within the medical education domain. It serves as a valuable resource for educators, researchers, and stakeholders seeking to navigate the evolving landscape of LA in medical education and envision its future trajectories.