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
Author
| Alex Acquah | 1 |
| Amanda Barany | 1 |
| Andi Danielle Scarola | 1 |
| Jack A. Dieckmann | 1 |
| Jesse Ramirez | 1 |
| Jo Boaler | 1 |
| Justice Walker | 1 |
| Ken Cor | 1 |
| Kira Conte | 1 |
| Megan Selbach-Allen | 1 |
| Michael A. Johnson | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Tests/Questionnaires | 1 |
Education Level
| High Schools | 2 |
| Secondary Education | 2 |
Audience
Location
| California | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
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
Amanda Barany; Andi Danielle Scarola; Alex Acquah; Sayed Mohsin Reza; Michael A. Johnson; Justice Walker – Information and Learning Sciences, 2024
Purpose: There is a need for precollege learning designs that empower youth to be epistemic agents in contexts that intersect burgeoning areas of computing, big data and social media. The purpose of this study is to explore how "sandbox" or open-inquiry data science with social media supports learning. Design/methodology/approach: This…
Descriptors: Student Empowerment, Data Science, Social Media, Open Education
