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Download full textLacefield, Warren E.; Applegate, E. Brooks; Zeller, Pamela J.; Van Kannel-Ray, Nancy; Carpenter, Shelly – Online Submission, 2011
This study describes a well-defined data-driven diagnostic identification and selection procedure for choosing students at-risk of academic failure for appropriate academic support services. This algorithmic procedure has been validated both by historical quantitative studies of student precedents and outcomes as well as by current qualitative…
Descriptors: Academic Failure, At Risk Students, Identification, Information Systems
Peer reviewed
Direct linkJohnson, Evelyn; Semmelroth, Carrie – NASSP Bulletin, 2010
The Early Warning System is a tool developed by the National High School Center to collect data on indicators including attendance, grade point average, course failures, and credits earned. These indicators have been found to be highly predictive of a student's likelihood of dropping out of high school in large, urban areas. The Early Warning…
Descriptors: Suburban Schools, Grade Point Average, Academic Achievement, Predictive Validity
