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Robin Clausen – Grantee Submission, 2024
Early warning systems (EWS) using analytical tools that have been trained against prior years' data, can reliably predict dropout risk in individual students so that educators may intervene early to help avert this from happening. Risk profiles for dropouts aren't always useful since students often do not conform to the profiles. Researchers with…
Descriptors: Early Intervention, Predictor Variables, Potential Dropouts, At Risk Students
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
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Khosravi, Hassan; Shabaninejad, Shiva; Bakharia, Aneesha; Sadiq, Shazia; Indulska, Marta; Gasevic, Dragan – Journal of Learning Analytics, 2021
Learning analytics dashboards commonly visualize data about students with the aim of helping students and educators understand and make informed decisions about the learning process. To assist with making sense of complex and multidimensional data, many learning analytics systems and dashboards have relied strongly on AI algorithms based on…
Descriptors: Learning Analytics, Visual Aids, Artificial Intelligence, Information Retrieval
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Regional Educational Laboratory Southeast, 2020
More than half of North Carolina's grade 3 students struggle with reading. The percentage of students scoring below proficient in reading at the end of grade 3 was 55 percent in 2017/18. That percentage has remained largely unchanged, at above 50 percent, since 2013/14, when North Carolina passed its K-3 Read to Achieve literacy act. Read to…
Descriptors: Elementary School Students, Identification, Reading Achievement, Reading Skills
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
This report examined three potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college: (1) Chicago: Designed to predict high school graduation; based on earning six course credits--the minimum to advance to the next grade in HISD--and having at most one semester…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
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Regional Educational Laboratory Southeast, 2020
More than half of North Carolina's grade 3 students struggle with reading. The percentage of students scoring below proficient in reading at the end of grade 3 was 55 percent in 2017/18. That percentage has remained largely unchanged, at above 50 percent, since 2013/14, when North Carolina passed its K-3 Read to Achieve literacy act. Read to…
Descriptors: Elementary School Students, Identification, Reading Achievement, Reading Skills
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Regional Educational Laboratory Mid-Atlantic, 2020
Pittsburgh Public Schools (PPS), the Propel Schools charter network, and the Allegheny County Department of Human Services (DHS) want to better identify students at risk for academic problems in the near term. The stakeholders partnered with the Regional Education Laboratory Mid-Atlantic to develop an approach for identifying at-risk students…
Descriptors: Elementary Secondary Education, At Risk Students, Welfare Services, Child Welfare
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Regional Educational Laboratory Southeast, 2019
In spring 2015 Mississippi began testing the college readiness of all grade 11 public high school students and found that approximately 18 percent were ready for college math, a percentage that had changed little by 2017/18. This study examined: (1) the sequences of math courses that Mississippi students took in grades 6-11; (2) the math…
Descriptors: Grade 6, Grade 7, Grade 8, Grade 9
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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Cummings, Kelli D.; Smolkowski, Keith – Assessment for Effective Intervention, 2015
This paper aims to translate for practitioners the principles and methods for evaluating screening measures in education, including benchmark goals and cut points, from our technical manuscript "Evaluation of Diagnostic Systems: The Selection of Students at Risk of Academic Difficulties" (this issue). We offer a brief description of…
Descriptors: Identification, At Risk Students, Learning Disabilities, Student Characteristics
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Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
This study examines whether scores from an interim reading assessment in grade 9, the Florida Assessments for Instruction in Reading--Florida Standards, can be used to identify students who may score below the college readiness benchmark on the Preliminary SAT/National Merit Scholarship Qualifying Test and ACT Plan in grade 10. Using scores on an…
Descriptors: Reading Tests, Scores, Predictor Variables, College Readiness
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Banks, Tachelle; Eaton, India – Preventing School Failure, 2014
Preparing at-risk youth and students with mild disabilities for state and district tests is important for improving their test performance, and basic instruction in test preparation can significantly improve student test performance. The article defines noncognitive variables that adversely affect test-taker performance. The article also describes…
Descriptors: Secondary School Students, At Risk Students, Test Wiseness, Test Coaching
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Fitzpatrick, Caroline – South African Journal of Childhood Education, 2014
Reducing the economic and social burden associated with poor academic achievement represents an urgent concern in South Africa. Increasingly research suggests that child characteristics in kindergarten play an important role in charting courses towards academic success and educational attainment by early adulthood. Although math and reading skills…
Descriptors: Advantaged, Disadvantaged, Achievement Gap, Executive Function
National Center on Response to Intervention, 2013
A valid screening system requires a screener that accurately predicts whether or not students are at risk given their current performance. To understand a screening measure's accuracy, predicted student performance data (i.e., screening data) must be compared with actual performance data. When these sets of data are compared in a setting where…
Descriptors: Screening Tests, Classification, Accuracy, Response to Intervention
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Regional Educational Laboratory Southeast, 2011
Over the past decade, research on dropout prevention has become focused on using evidence-based practice, and data-driven decisions, to mitigate students' dropping out of high school and instead, support and prepare students for career and college. Early warning systems or on-track indicators, in which readily available student-level data are used…
Descriptors: Elementary Secondary Education, Dropout Prevention, Evidence, At Risk Students
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