Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Cooperation | 2 |
Data Science | 2 |
Active Learning | 1 |
Adolescents | 1 |
Artificial Intelligence | 1 |
Computer Mediated… | 1 |
Criticism | 1 |
Data Processing | 1 |
Design | 1 |
Educational Technology | 1 |
Females | 1 |
More ▼ |
Author
Jazbo Beason | 1 |
Jennifer King Chen | 1 |
Luis Morales-Navarro | 1 |
Mark Leibowitz | 1 |
Matt J. Davidson | 1 |
R. Benjamin Shapiro | 1 |
Ruijia Cheng | 1 |
Tiffany Tseng | 1 |
Victoria Delaney | 1 |
Publication Type
Dissertations/Theses -… | 1 |
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
Ruijia Cheng – ProQuest LLC, 2023
As data becomes an integral part of our lives, the general public faces the increasing need to actively engage with data to participate in daily activities, support personal goals, and understand social issues. Formal data science training, however, remains out of reach for most people and does not cater to their diverse needs related to data.…
Descriptors: Information Literacy, Informal Education, Data Science, Computer Mediated Communication
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