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Jo Boaler; Kira Conte; Ken Cor; Jack A. Dieckmann; Tanya LaMar; Jesse Ramirez; Megan Selbach-Allen – Journal of Statistics and Data Science Education, 2025
This article reports on a multi-method study of a high school course in data science, finding that students who take data science take more mathematics courses than those who do not, there are more under-represented students in data science than is typical for other advanced mathematics courses; that the students who take data science are more…
Descriptors: Mathematics Instruction, Opportunities, High School Students, Data Science
Esther Drill; Jessica A. Lavery; Stephanie Lobaugh; Jessica Flynn; Samantha Brown; Hannah Kalvin; Joanne F. Chou; David Nemirovsky; Zoe Guan; Sujata Patil; Kay See Tan – Journal of Statistics and Data Science Education, 2025
Persistent underrepresentation of Black and Hispanic Statistics degree holders relative to the U.S. population occurs at all levels in post-secondary education, contributing to the underrepresentation of Black and Hispanic Bio/Statisticians. Attempting to address this inequity before the undergraduate level, Memorial Sloan Kettering (MSK)'s Bridge…
Descriptors: Interaction, Electronic Learning, Statistics, Outreach Programs