Andrew Krumm is an Assistant Professor of Learning Health Sciences, specializing in learning analytics and quality improvement. Prior to joining the Department of Learning Health Sciences at the University of Michigan, Andrew was the Director of Learning Analytics Research at Digital Promise and a Senior Education Researcher in the Center for Technology in Learning at SRI International. At both organizations, Andrew specialized in developing data-intensive research-practice partnerships with educational organizations of all types. As a learning scientist, Andrew’s work explores the use of data-intensive research methods to measure learning and improve learning environments in health and education systems.
Areas of Interest
Research and scholarly interests: Learning analytics, data science, quality improvement, improvement science, and organizational learning
Subject matter expertise: Learning sciences, data-intensive research methods
Other professional highlights:
- Author of the book "Learning Analytics Goes to School: A Collaborative Approach to Improving Education"
Published Articles or Reviews
- Krumm AE, Marcotte K, George BC. Model-based operative performance expectations for quantifying competency in general surgery. JAMA Surg. Published online March 08, 2023. doi:10.1001/jamasurg.2023.0014. https://pubmed.ncbi.nlm.nih.gov/36884256/.
- Krumm AE, Marcotte KM, Thelen AE et al. Connecting quantity and quality: An innovative statistical method for linking ACGME case logs and surgical resident autonomy. Global Surg Educ 2, 34 (2023). https://doi.org/10.1007/s44186-023-00111-x.
- Krumm AE, Means, B, Bienkowski, M. Learning analytics goes to school: A collaborative approach to improving education. New York: Routledge, 2018.
A list of all publications can be found here.