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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Wilkinson, David – 1990
Selected program evaluations through the GENeric Evaluation SYStem (GENESYS) of the Austin (Texas) Independent School District are reviewed. GENESYS, implemented in 1988-89, consists basically of a database methodology assessing the school system's longitudinal databases and a set of computer programs using the Statistical Analysis System (SAS) to…
Descriptors: Academically Gifted, Bilingual Education Programs, Computer Software, Data Collection
Wilkinson, David; Spano, Sedra G. – 1991
GENESYS is a GENeric Evaluation SYStem for data collection and evaluation through computer technology. GENESYS gathers and reports the standard information (student characteristics, achievement, attendance, discipline, grades/credits, dropouts, and retainees) for specific groups of students. In the Austin (Texas) Independent School District's…
Descriptors: Academically Gifted, Bilingual Education, Data Collection, Databases