Publication Date
| In 2025 | 1 |
| Since 2024 | 2 |
Descriptor
| Dropout Prevention | 2 |
| High Schools | 2 |
| Academic Achievement | 1 |
| Administrator Attitudes | 1 |
| Causal Models | 1 |
| Counselor Attitudes | 1 |
| Data Analysis | 1 |
| Data Use | 1 |
| Decision Making | 1 |
| Educational Assessment | 1 |
| Educational Change | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| High Schools | 2 |
| Secondary Education | 2 |
Audience
Location
| Montana | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkRobin Clausen – Discover Education, 2025
Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…
Descriptors: Dropout Prevention, Data Analysis, Principals, School Counselors
Hank S. Bohanon; Meng-Jia Wu; Ali Kushki; Cheyne LeVesseur – Australasian Journal of Special and Inclusive Education, 2024
Schools have an increased focus on implementing schoolwide initiatives (e.g., multi-tiered systems of support; MTSS) to address risk factors related to dropping out. These interventions can involve multiple domains, including academic, behavioural, and social and emotional supports. Although researchers suggest that schoolwide interventions are…
Descriptors: High Schools, Educational Change, Multi Tiered Systems of Support, Academic Achievement
