Abstract
Personalization of student evaluation data and learning application usage has the potential to provide targeted feedback to support self-directed learning and expertise development among learners in health professions education. To provide personalization, health professions programs need to leverage both: (1) the technical infrastructure and analysis for existing student data, and (2) understand the interrelated contexts of learning, teaching, and expertise development within the clinical context. Personalization is more than feeding back results to learners; it also moves into intelligent tutors. Tips for successful adoption of personalization in health professions education, including security, legal, and administrative concerns, are discussed.
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