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Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative
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Jayaprakash, Sandeep M.; Moody, Erik W.; Lauría, Eitel J. M.; Regan, James R.; Baron, Joshua D. – Journal of Learning Analytics, 2014
The Open Academic Analytics Initiative (OAAI) is a collaborative, multi-year grant program aimed at researching issues related to the scaling up of learning analytics technologies and solutions across all of higher education. The paper describes the goals and objectives of the OAAI, depicts the process and challenges of collecting, organizing and…
Descriptors: At Risk Students, College Students, Open Source Technology, Data Analysis
Identifying At-Risk Students for Early Reading Intervention: Challenges and Possible Solutions
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McAlenney, Athena Lentini; Coyne, Michael D. – Reading & Writing Quarterly, 2011
Accurate identification of at-risk kindergarten and 1st-grade students through early reading screening is an essential element of responsiveness to intervention models of reading instruction. The authors consider predictive validity and classification accuracy of early reading screening assessments with attention to sensitivity and specificity.…
Descriptors: Intervention, Early Reading, Predictive Validity, At Risk Students
Data Driven Identification and Selection Algorithms for At-Risk Students Likely to Benefit from High School Academic Support Services
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Lacefield, 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
A Brief Broadband System for Screening Children at Risk for Academic Difficulties and Poor Achievement Test Performance: Validity Evidence and Applications to Practice
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Kettler, Ryan J.; Elliott, Stephen N. – Journal of Applied School Psychology, 2010
The Brief Academic Competence Evaluation Screening System (BACESS) is a broadband universal screening instrument with three increasingly stringent phases for the identification of children at risk for academic and related behavior difficulties. The development of the BACESS involved two samples of students: K-5 students (n = 827) from the…
Descriptors: Test Results, Intervention, Academic Achievement, Predictor Variables
Results of the Use of a Model that Predicts Individual Student Attrition to Intervene with Those Who Are Most at Risk
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Miller, Thomas E.; Tyree, Tracy; Riegler, Keri K.; Herreid, Charlene – College and University, 2010
This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…
Descriptors: Mentors, Student Attrition, Models, Multiple Regression Analysis
The Predictive Validity of the Early Warning System Tool
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Johnson, 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