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Baker, Ryan S.; Berning, Andrew W.; Gowda, Sujith M.; Zhang, Shizhu; Hawn, Aaron – Journal of Education for Students Placed at Risk, 2020
Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse school district in Texas. We predict whether a student will drop out in a future school year from data on students' discipline, attendance, course-taking,…
Descriptors: At Risk Students, High School Students, Dropout Prevention, Student Diversity
Orr, Aline – Online Submission, 2019
This report includes findings regarding demographic characteristics and academic outcomes of Twilight program students; highlights emerging topics from the student, teacher, and staff surveys; and provides recommendations for future program implementation.
Descriptors: School Districts, High School Students, Middle School Students, At Risk Students
Clune, Bill; Knowles, Jared – Wisconsin Center for Education Research, 2016
Since 2012, the Wisconsin Department of Public Instruction (DPI) has maintained a statewide predictive analytics system providing schools with an early warning in middle grades of students at risk for not completing high school. DPI is considering extending and enhancing this system, known as the Dropout Early Warning System (DEWS). The proposed…
Descriptors: Predictive Measurement, Delivery Systems, State Standards, Early Intervention
Goodman, Christie L., Ed. – Intercultural Development Research Association, 2019
The "IDRA Newsletter" serves as a vehicle for communication with educators, school board members, decision-makers, parents, and the general public concerning the educational needs of all children across the United States. The focus of this issue is "School Holding Power." Contents include: (1) Texas Higher Education Law Aims to…
Descriptors: School Holding Power, Educational Legislation, State Legislation, Remedial Instruction
Villanueva, Chandra – Center for Public Policy Priorities, 2017
Roughly defined as grades four through eight, the middle grades are a known pressure point in the educational pipeline -- a make or break period for determining future academic success. Research has shown that students who are not proficient in reading by the beginning of fourth grade are four times more likely to drop out of school. Similarly,…
Descriptors: Middle School Students, Dropouts, Dropout Prevention, Pilot Projects
Somers, Marie-Andrée; Haider, Zeest – MDRC, 2017
The Communities In Schools (CIS) Model of Integrated Student Supports aims to reduce dropout rates by providing students with integrated and tiered support services based on their levels of need. The model includes preventive services that are available to all students (Level 1 services) as well as intensive, targeted, and sustained services…
Descriptors: Dropout Prevention, Student Needs, Elementary Schools, Middle Schools
Somers, Marie-Andrée; Haider, Zeest – MDRC, 2017
The Communities In Schools (CIS) Model of Integrated Student Supports aims to reduce dropout rates by providing students with integrated and tiered support services based on their levels of need. The model includes preventive services that are available to all students (Level 1 services) as well as intensive, targeted, and sustained services…
Descriptors: Dropout Prevention, Student Needs, Elementary Schools, Middle Schools
What Works Clearinghouse, 2015
"Career Academies" is a dropout prevention strategy for youth considered most at risk of dropping out of high school. Students in the program take both career-related and academic courses and acquire work experience through partnerships with local employers. "Career Academies" integrate rigorous academic curricula with career…
Descriptors: Career Academies, Dropout Prevention, At Risk Students, High School Students
Brandy R. Maynard; Elizabeth K. Kjellstrand; Aaron M. Thompson – Grantee Submission, 2014
Objectives: This study examined the effects of Check & Connect (C&C) on the attendance, behavior, and academic outcomes of at-risk youth in a field-based effectiveness trial. Method: A multisite randomized block design was used, wherein 260 primarily Hispanic (89%) and economically disadvantaged (74%) students were randomized to treatment…
Descriptors: Middle School Students, High School Students, Attendance, Student Behavior
Brandy R. Maynard; Elizabeth K. Kjellstrand; Aaron M. Thompson – Research on Social Work Practice, 2014
Objectives: This study examined the effects of Check & Connect (C&C) on the attendance, behavior, and academic outcomes of at-risk youth in a field-based effectiveness trial. Method: A multisite randomized block design was used, wherein 260 primarily Hispanic (89%) and economically disadvantaged (74%) students were randomized to treatment…
Descriptors: Middle School Students, High School Students, Attendance, Student Behavior
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
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