Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Classification | 1 |
| Comparative Analysis | 1 |
| Computer Software | 1 |
| Data Collection | 1 |
| Dropouts | 1 |
| Graduation Rate | 1 |
| High School Graduates | 1 |
| Middle School Students | 1 |
| Models | 1 |
| Open Source Technology | 1 |
| Prediction | 1 |
| More ▼ | |
Source
| Journal of Educational Data… | 1 |
Author
| Knowles, Jared E. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| High Schools | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Wisconsin | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textKnowles, Jared E. – Journal of Educational Data Mining, 2015
The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…
Descriptors: Dropouts, Models, Prediction, Risk
