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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
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Cano, Alberto; Leonard, John D. – IEEE Transactions on Learning Technologies, 2019
Early warning systems have been progressively implemented in higher education institutions to predict student performance. However, they usually fail at effectively integrating the many information sources available at universities to make more accurate and timely predictions, they often lack decision-making reasoning to motivate the reasons…
Descriptors: Progress Monitoring, At Risk Students, Disproportionate Representation, Underachievement
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Faria, Ann-Marie; Sorensen, Nicholas; Heppen, Jessica; Bowdon, Jill; Eisner, Ryan – Society for Research on Educational Effectiveness, 2018
The national high school graduation rate reached its highest level in U.S. history--82 percent--during the 2013-14 school year (Kena et al., 2016)--but dropout remains a persistent problem in the Midwest and nationally. Early warning systems that use research-based warning signs to identify students at risk of dropping out have emerged as one…
Descriptors: Progress Monitoring, At Risk Students, Graduation Rate, Program Effectiveness
Office of Planning, Evaluation and Policy Development, US Department of Education, 2016
In 2013-14, the high school graduation rate reached a record high of 82 percent (U.S. Department of Education 2015a). Despite the gains, over half a million students still drop out of high school each year (U.S. Department of Education 2015b). High schools have adopted various strategies designed to keep students who are at risk of not graduating…
Descriptors: High School Students, Graduation Rate, Dropouts, At Risk Students
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Jokhan, Anjeela; Sharma, Bibhya; Singh, Shaveen – Studies in Higher Education, 2019
Early warning systems are being used to assist students in their studies as well as understanding student behaviour and performance better. A home-grown EWS plug-in for Moodle was used to predict the student performance in a first year IT literacy course at University of the South Pacific. The alert tool was designed to capture student logins,…
Descriptors: Higher Education, College Students, Online Courses, At Risk Students
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Young, Ellie L.; Moulton, Sara E.; Julian, Alex – Preventing School Failure, 2021
The authors compared data from a social-emotional-behavior screener (i.e., the "Student Risk Screening Scale--Internalizing and Externalizing" [SRSS-IE]) with data from a high school early warning system. Data from 2,256 suburban high school students were used. Research questions examined the degree to which student demographic variables…
Descriptors: Student Behavior, Social Development, Emotional Development, At Risk Persons
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McMahon, Brian M.; Sembiante, Sabrina F. – Review of Education, 2020
Emphasis in school dropout literature has shifted from exploring wide-ranging causes of dropping out to soliciting a smaller number of predictive indicators to identify students at increased risk for dropping out. However, much of the past decade's Early Warning research excludes indicators that do not add to the predictive nature of the model…
Descriptors: Dropout Prevention, Intervention, Prediction, Educational Research
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Cassells, Laetitia – Assessment & Evaluation in Higher Education, 2018
The application of formative assessment principles in higher education has become increasingly important in South Africa. In this case study the researcher assesses the effectiveness of the application of an early warning system to the higher-education environment in a high failure rate subject. This method is applied according to recommended…
Descriptors: Identification, At Risk Students, Higher Education, Foreign Countries
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Frazelle, Sarah; Nagel, Aisling – Regional Educational Laboratory Northwest, 2015
To stem the tide of students dropping out, many schools and districts are turning to early warning systems (EWS) that signal whether a student is at risk of not graduating from high school. While some research exists about establishing these systems, there is little information about the actual implementation strategies that are being used across…
Descriptors: At Risk Students, Dropouts, Dropout Prevention, Prevention
Terrell, Misty – National Technical Assistance Center on Transition, 2017
Early warning systems (EWS), in the context of secondary transition, are tools that analyze individual student-level data and estimate each student's risk of dropping out of school or completing school on time. Such tools generally consider three primary types of data--commonly referred to as the A, B, Cs: attendance/absence data,…
Descriptors: Identification, Intervention, Secondary School Students, At Risk Students
O'Cummings, Mindee; Therriault, Susan Bowles – American Institutes for Research, 2015
Educators at all levels care deeply about helping students succeed academically, graduate on time, and emerge from school well prepared for college and careers. Today's emphasis on holding schools accountable for failure--while necessary--is at best a means to an end. Findings from local and statewide accountability systems can help state…
Descriptors: Dropout Prevention, At Risk Students, Leadership, Empowerment
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Curtin, Jenny; Hurwitch, Bill; Olson, Tom – National Center for Education Statistics, 2012
An early warning system is a data-based tool that helps predict which students are on the right path towards eventual graduation or other grade-appropriate goals. Through such systems, stakeholders at the school and district levels can view data from a wide range of perspectives and gain a deeper understanding of student data. This "Statewide…
Descriptors: Databases, Educational Indicators, Predictor Variables, At Risk Students
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Waddington, R. Joseph; Nam, SungJin; Lonn, Steven; Teasley, Stephanie D. – Journal of Learning Analytics, 2016
Early Warning Systems (EWSs) aggregate multiple sources of data to provide timely information to stakeholders about students in need of academic support. There is an increasing need to incorporate relevant data about student behaviors into the algorithms underlying EWSs to improve predictors of students' success or failure. Many EWSs currently…
Descriptors: Dropout Prevention, Data Analysis, STEM Education, Core Curriculum
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Penuel, William R.; Farrell, Caitliin C.; Daniel, Jula – Teachers College Record, 2020
Background/Context: Research on data and evidence use suggest that productive use depends on interactive processes, including sustained interactions between educators and researchers. Recent research on research-practice partnerships (RPPs) has examined conditions under which these sustained collaborations support evidence use. Findings from these…
Descriptors: Data Use, Dropout Prevention, Educational Research, Partnerships in Education
Massachusetts Department of Elementary and Secondary Education, 2016
A rise in data availability gives educators the opportunity to tailor instructional practices and interventions to student needs and invest resources in areas where students require the most support. Massachusetts developed the Early Warning Indicator System (EWIS), which synthesizes the wealth of student data available in the state, including…
Descriptors: At Risk Students, Progress Monitoring, Educational Indicators, Ability Identification
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