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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
George, Brandon J.; Leon, Juan – Journal of Statistics and Data Science Education, 2023
The recent rise in online learning in statistics has made it essential for instructors to teach effectively in that modality. In this retrospective, we reflect on how online course content was added to an introductory statistics course in a graduate public health program and how it was updated over time based on student feedback and instructor…
Descriptors: Online Courses, Flipped Classroom, Public Health, Statistics
Huang, Wen; London, Jeremi S.; Perry, Logan A. – Journal of Statistics and Data Science Education, 2023
Understanding statistics is essential for engineers. However, statistics courses remain challenging for many students, as they find them rigid, abstract, and demanding. Prior research has indicated that using project-based learning (PjBL) to demonstrate the relevance of statistics to students can have a significant effect on learning in these…
Descriptors: Student Projects, Active Learning, Student Attitudes, Relevance (Education)
Vinje, Hilde; Brovold, Helge; Almøy, Trygve; Frøslie, Kathrine Frey; Saebø, Solve – Journal of Statistics and Data Science Education, 2021
Historically, the introductory course in statistics at the Norwegian University of Life Sciences (NMBU), has taken a traditional, lecture-based form. A previous study at the NMBU concluded that the course structure appeared to disfavor certain cognitive or personality types, extraverts in particular. Therefore, in 2016, as an experiment, the…
Descriptors: Foreign Countries, Undergraduate Students, Statistics Education, Active Learning