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Wagner, Ellen; Longanecker, David – Change: The Magazine of Higher Learning, 2016
The metrics used in the US to track students do not include adults and part-time students. This has led to the development of a massive data initiative--the Predictive Analytics Reporting (PAR) framework--that uses predictive analytics to trace the progress of all types of students in the system. This development has allowed actionable,…
Descriptors: Predictor Variables, Reflection, Academic Achievement, Models
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Stout, Karen E.; Christenson, Sandra L. – Prevention Researcher, 2009
Students' engagement at school has emerged as a critical factor across hundreds of dropout prevention and recovery programs in the United States. By supporting and improving academic, behavioral, cognitive, and emotional engagement, we can mitigate the risk of dropping out. This article describes the history of school dropout, predictors of…
Descriptors: Dropout Prevention, Learner Engagement, High School Graduates, Graduation Rate
Soine, Karen M. – ProQuest LLC, 2011
This primary purpose of the study was to expand the work of Garet, Porter, Desimone, Birman, and Yoon (2001) by creating and psychometrically testing an instrument designed to measure teachers' perceptions of characteristics of professional development. Elementary teachers (n = 406) from five school districts in Washington State participating in a…
Descriptors: Psychometrics, Construct Validity, Predictive Validity, Factor Analysis
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Sanders, Mavis; Sheldon, Steven; Epstein, Joyce – Journal of Educational Research & Policy Studies, 2005
The current wave of educational reform includes an emphasis on family and community involvement as a strategy for school improvement. Yet, to effectively engage families and communities in the educational process, educators need assistance and support. In 1996, the National Network of Partnership Schools (NNPS) was established to build the…
Descriptors: Community Involvement, Partnerships in Education, Educational Change, School Community Relationship