Shan Li

Shan Li's innovative methodologies enhance understanding of health professions education through the lens of intelligent learning systems. As an Assistant Professor in the College of Health at Lehigh University, affiliated with the Department of Education and Human Services, Dr. Li delves into the intricacies of learning processes and learner data analysis. His work is pivotal in identifying performance differences through advanced computational techniques, offering a nuanced perspective on educational experiences in health professions. Dr. Li's academic journey is marked by a robust foundation in Learning Sciences from McGill University and Educational Technology from Beijing Normal University. This diverse educational background equips him with a unique perspective on student learning processes, particularly within the realm of health professions. His research is dedicated to understanding and enhancing educational experiences, ensuring that students in these fields are equipped with the necessary skills and knowledge. His research interests extend to the application of Artificial Intelligence in Education, where he explores the potential of intelligent learning systems to transform traditional educational paradigms. By focusing on self-regulated learning and learning analytics, Dr. Li aims to develop advanced learning technologies that cater to the evolving needs of students in STEM and health professions education. Dr. Li's contributions to the field are not only theoretical but also practical, as he seeks to implement innovative solutions that address real-world challenges in education. His work is instrumental in shaping the future of health professions education, ensuring that it remains relevant and effective in an ever-changing educational landscape.