Dr. Kulamakan (Mahan) Kulasegaram is a Scientist at the Wilson Centre and Temerty Faculty of Medicine where he is the Temerty Chair in Learner Assessment and Program Evaluation. Additionally, he is an Associate Professor and Director of the Office of Education Scholarship in the Department of Family & Community Medicine.
Mahan’s research advances our understanding of how assessment can be used to help learners develop clinical reasoning as well as how education programs can use assessment as a tool to systems and outcomes for learners. His research examines educational assessment as an opportunity to enhance learning and in particular, how to support the transfer of learning that is required to develop clinical expertise in medicine. This involves reexamining the entire context of assessment – the objectives, process, tools, learners, and assessors – from theoretical perspectives informed by psychology and educational measurement. This program of research has led to significant changes in the practice and design of assessment at multiple levels of the education continuum for physicians. The next stage of this research – supported by the Temerty Chair in Learner Assessment – is utilizing assessment big data to understand opportunities to optimize programs and their impact on learners, teachers, and eventual clinical care. He is developing models with national and international collaborators to facilitate education data sharing within and between institutions as well as identifying best practices in this new area for medical education. Notably, in 2021-22, he co-lead the development of a national consensus statement on principles for ethical and equitable data sharing governance informed by national stakeholders in medical education (www.dataconnection.ca). Mahan also conducts research in instructional design, curriculum design, as well as in admissions and selection to medical education. He is currently accepting PhD students in all of the above areas.
The Wilson Centre generates high quality and innovative interdisciplinary education science to propel transformations in health professions education.
Qiuyue Fang
PhD Graduate Student
Thesis: Artificial intelligence (AI) usage in health professions measurements and assessment, along with big data analytics
Supervisors: Kulamakan (Mahan) Kulasegaram
Conrad Ian Tsang
PhD Graduate Student
Thesis: Fairness and inclusive excellence in medical school admissions
Supervisors: Kulamakan (Mahan) Kulasegaram