Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 1 |
Descriptor
Active Learning | 1 |
Adolescents | 1 |
Artificial Intelligence | 1 |
Cooperation | 1 |
Data Processing | 1 |
Data Science | 1 |
Design | 1 |
Educational Technology | 1 |
Females | 1 |
Handheld Devices | 1 |
LGBTQ People | 1 |
More ▼ |
Source
ACM Transactions on Computing… | 1 |
Author
Jazbo Beason | 1 |
Jennifer King Chen | 1 |
Luis Morales-Navarro | 1 |
Mark Leibowitz | 1 |
Matt J. Davidson | 1 |
R. Benjamin Shapiro | 1 |
Tiffany Tseng | 1 |
Victoria Delaney | 1 |
Publication Type
Journal Articles | 1 |
Reports - Research | 1 |
Education Level
Audience
Location
New York (New York) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Tiffany Tseng; Matt J. Davidson; Luis Morales-Navarro; Jennifer King Chen; Victoria Delaney; Mark Leibowitz; Jazbo Beason; R. Benjamin Shapiro – ACM Transactions on Computing Education, 2024
Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…
Descriptors: Artificial Intelligence, Models, Data Processing, Design