Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Source
Journal of Statistics and… | 2 |
Author
Barb Bennie | 1 |
Jack A. Dieckmann | 1 |
Jesse Ramirez | 1 |
Jo Boaler | 1 |
Ken Cor | 1 |
Kira Conte | 1 |
Megan Selbach-Allen | 1 |
Richard A. Erickson | 1 |
Tanya LaMar | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Tests/Questionnaires | 2 |
Education Level
High Schools | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Teachers | 1 |
Location
California | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Barb Bennie; Richard A. Erickson – Journal of Statistics and Data Science Education, 2024
Effective undergraduate statistical education requires training using real-world data. Textbook datasets seldom match the complexities and messiness of real-world data and finding these datasets can be challenging for educators. Consulting and industrial datasets often have nondisclosure agreements. Academic datasets often require subject area…
Descriptors: Undergraduate Students, Statistics Education, Data Science, Earth Science
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