Under the Hood: Montana Early Warning System
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| Title: | Under the Hood: Montana Early Warning System |
|---|---|
| Language: | English |
| Authors: | Robin Clausen |
| Source: | AASA Journal of Scholarship & Practice. 2024 21(2):15-30. |
| Availability: | AASA, The School Superintendent's Association. 1615 Duke Street, Alexandria, VA 22314. Tel: 703-528-0700; Fax: 703-841-1543; e-mail: info@aasa.org; Web site: http://www.aasa.org |
| Peer Reviewed: | Y |
| Page Count: | 16 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | High Schools Secondary Education |
| Descriptors: | Dropout Prevention, High School Students, Graduation, Graduation Rate, Dropout Characteristics, Dropout Programs, Program Evaluation, Program Effectiveness, State Policy, State School District Relationship, State Programs |
| Geographic Terms: | Montana |
| ISSN: | 1550-9850 1931-6569 |
| Abstract: | Policy research established that it is possible to predict a student will drop out of school based on academic, attendance, behavior indicators. Little is known about the processes that put Early Warning Systems (EWS) in place. This case study of the Montana EWS describes the characteristics of a statewide implementation, the efficiency of the EWS to predict graduation, and effectiveness of the tool among adopters. By painting a picture of high adopters, low adopters, and non-adopters, we can distinguish the demand for the use of the tool, how users respond to the Montana EWS, how the tool is used to intervene with students, and what are the outcomes for the schools that use the tool. Students in high adoption schools who received an EWS score are more likely to graduate in comparison to students in low adoption schools. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Access URL: | https://www.aasa.org/jsp.aspx |
| Accession Number: | EJ1434228 |
| Database: | ERIC |
| Abstract: | Policy research established that it is possible to predict a student will drop out of school based on academic, attendance, behavior indicators. Little is known about the processes that put Early Warning Systems (EWS) in place. This case study of the Montana EWS describes the characteristics of a statewide implementation, the efficiency of the EWS to predict graduation, and effectiveness of the tool among adopters. By painting a picture of high adopters, low adopters, and non-adopters, we can distinguish the demand for the use of the tool, how users respond to the Montana EWS, how the tool is used to intervene with students, and what are the outcomes for the schools that use the tool. Students in high adoption schools who received an EWS score are more likely to graduate in comparison to students in low adoption schools. |
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| ISSN: | 1550-9850 1931-6569 |
