A Primer for Using Generative Artificial Intelligence in Medical Education
This module, featuring Christopher Runyon, Ph.D., is designed specifically for faculty members to empower them to confidently integrate generative AI into teaching practices and leverage AI to support assessment efforts.
This module, facilitated by Monica Cuddy, Ph.D., focuses on the foundational concepts of validity in assessment, helping learners develop, evaluate, and apply validity arguments and evidence to create trustworthy, defensible assessments that support meaningful educational decisions.
From Data to Action: Interpreting Score Reports and Dashboards
This module, facilitated by Mara Sadtler, Ph.D., focuses on the foundational concepts needed to interpret assessment score reports and dashboards, helping faculty make sense of scores, benchmarks, trends, and performance data to support informed educational decisions.
Using Item Analysis Results to Improve Assessment Quality
This module, facilitated by Francis O’Donnell, Ph.D., focuses on the foundational concepts that underpin effective assessment design, including how to calculate and interpret item statistics on multiple choice assessment questions.
Using INSIGHTS® to Support Student Success: A Collaboration with the Medical Education Learning Specialists (MELS) Group
This module, presented by Learning Specialists Kristen M. Coppola, Ph.D., and Kiely Madhavan Ph.D., dives into effectively utilizing the NBME INSIGHTS® Dashboard to interpret assessment data to support student success.
