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Robin Clausen – AASA Journal of Scholarship & Practice, 2024
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…
Descriptors: Dropout Prevention, High School Students, Graduation, Graduation Rate
Lee, Katelyn; Therriault, Susan – College and Career Readiness and Success Center, 2016
This brief examines strategies for leveraging State longitudinal data systems (SLDS) to promote college and career readiness (CCR) goals. The examples provided are based on current state efforts to use their state longitudinal data systems to achieve their CCR vision and goals. The following information outlines the basic purpose and elements of…
Descriptors: Longitudinal Studies, Career Readiness, College Readiness, Elementary Secondary Education
National Forum on Education Statistics, 2018
The Forum Guide to Early Warning Systems provides information and best practices to help education agencies plan, develop, implement, and use an early warning system in their agency to inform interventions that improve student outcomes. The document includes a review of early warning systems and their use in education agencies and explains the…
Descriptors: Educational Indicators, Best Practices, Elementary Secondary Education, Data Collection
Montana Office of Public Instruction, 2016
In today's economy, a quality public education is the key to economic prosperity for young people. When Superintendent of Public Instruction Denise Juneau took office in 2009, there were 2,272 public school students who dropped out of school, and Montana had a dropout rate of five percent. For a state with a school population as small as Montana,…
Descriptors: High School Graduates, Graduation Rate, Dropout Rate, Dropouts