As a discipline-based-researcher (DBER) in statistics education, Kristen Roland is interested in studying how people learn statistics, specifically on developing understanding of conceptualizations of confidence intervals at various levels. She has recently presented her work at the United States Conference on Teaching Statistics: Research Satellite and has conference proceedings published for the International Conference on Teaching Statistics and the Conference on Research in Undergraduate Mathematics Education. Her paper titled “Brody and Jamie’s Colleague: The difference in confidence interval estimators and estimates” earned a 2022 Honorable Mention recognition from the International Association for Statistical Education for Best ICOTS Paper by an Early Career Researcher. Roland is part of the Association of Mathematics Teacher Educator’s Service, Teaching, and Research (STaR) fellowship program (2021 Cohort).

Kristen earned her Ph.D. in mathematics education, with a concentration in statistics education, at the University of Georgia after obtaining her master’s degree (M.S.) in statistics at the University of Rhode Island and her bachelor’s degree in statistics (BS) at Sonoma State University. Before joining UVA this year, Kristen taught at Appalachian State University and at the University of Rhode Island.

This year, Kristen will be teaching “Introduction to Data Science with R and Experimental Design.”