Using Data to Make Classroom Decisions by COL Krista Watts Visit https://rstats.ai/nyr/ to learn more. Abstract: The nature of how classes are executed at the United States Military Academy makes it a unique opportunity to assess the effectiveness of different pedagogical approaches. Core classes generally have dozens of small sections, often with students randomly assigned to sections, facilitating the opportunity for cluster randomized trials. I will discuss several recent studies including sectioning by demonstrated aptitude for a subject and use of technology in the classroom. Bio: Colonel Krista Watts is the Vice Dean for Operations at the United States Military Academy (USMA) at West Point and a form Academy Professor in the Department of Mathematical Sciences. She is a 1996 graduate of USMA with a Bachelor’s of Science in Operations Research. Krista also holds a Master’s of Science in Operations Research from the Naval Postgraduate School and a PhD in Biostatistics from Harvard University. She is the former Director of the Operations Research and Statistics Program in the Mathematical Science Department at West Point and serves on several other committees and governance bodies at USMA. She has been an active duty Military Police officer since 1996, serving in a variety of tactical and operational assignments. Her research interests focus on applied statistical analysis and include Bayesian Methods for Effect Estimation and Public Health. Presented at the 2021 New York R Conference (September 10, 2021)