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Direct linkJo 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
Ian Thacker; Rebecca Schroeder; Sara Shields-Menard; Nickolas Goforth – International Journal of Science and Mathematics Education, 2025
To create opportunities for meaningful applications of data science for diverse students, we developed and implemented an online learning module focused on engaging students at a Hispanic Serving Institution (HSI) in an analysis of authentic soil data. Development of the module occurred over three design iterations involving interviews with 10…
Descriptors: Hispanic American Students, Minority Serving Institutions, Data Science, Undergraduate Students
Okhee Lee; Scott Grapin – Journal of Research in Science Teaching, 2025
We propose a conceptual framework for STEM education that is centered around justice for minoritized groups. Justice-centered STEM education engages all students in multiple STEM subjects, including data science and computer science, to explain and design solutions to societal challenges disproportionately impacting minoritized groups. We…
Descriptors: Social Justice, STEM Education, Bilingual Students, Multilingualism
