Workshop Facilitators: Dr Kimberly Dahlman, Dr Alana Newell, Prof Neil Osheroff and Dr Nancy Moreno

Logic models are valuable tools for program planning and evaluation. A logic model visually connects intended outcomes with the resources and activities that go into a program, depicting relationships among program inputs, planned work, measurable outputs or products, and short- and long-term outcomes or impacts for students or other learners. Thus, a well-constructed logic model can guide decision-making about data collection, assessment timepoints and overall program evaluation, supporting clear alignment between these measures and the desired outcomes. Importantly, these assessments and measurements need to be inclusive and multisource, considering near- and distal-peer and self-assessments. In this IAMSE-organized session, an experienced investigator and program evaluator team will guide participants through each of the elements of a logic model, and provide templates, strategies, and practice in the development of well-aligned education program logic models.