ERIC Number: EJ1454559
Record Type: Journal
Publication Date: 2025
Pages: 20
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2693-9169
Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science
Jo Boaler; Kira Conte; Ken Cor; Jack A. Dieckmann; Tanya LaMar; Jesse Ramirez; Megan Selbach-Allen
Journal of Statistics and Data Science Education, v33 n1 p26-45 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 positive about a future in STEM and they tend to be older. Analysis of writing from the students shows that students are very positive about the course, appreciating the relevance of the content, the opportunity to investigate ideas, the chance to learn challenging, applied content, and the opportunity to think creatively. In an assessment of data and functions given to students in data science and Algebra 2 courses, the students in data science scored at significantly higher levels.
Descriptors: Mathematics Instruction, Opportunities, High School Students, Data Science, Disproportionate Representation, STEM Education, Student Attitudes, Relevance (Education), Student Experience, Active Learning, Student Projects, Futures (of Society), Age Differences
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Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: California
Grant or Contract Numbers: N/A