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Marshall, David T. – Preventing School Failure, 2022
Using administrative data from an urban school district, two series of predictive models were tested for their ability to project a student's high school graduation status. The models included student grades, attendance, behavior, demographic predictors, and school-level variables. Eighth and ninth-grade variables were tested for two graduation…
Descriptors: High School Students, Grades (Scholastic), Grade 8, Grade 9
Kirk Vanacore; Adam Sales; Alison Liu; Erin Ottmar – Society for Research on Educational Effectiveness, 2023
Background: Persisting after experiencing difficulty allows students to work in the upper ends of their zones of proximal development, where most learning occurs (Ventura et al., 2013; Vygotsky & Cole, 1978). Digital educational games promote productive persistence by allowing students to repeat the same or similar problems until they reach…
Descriptors: Academic Persistence, Game Based Learning, Failure, Algebra
Li, Yibing; Garland, Marshall; Kilborn, Mitchell – Regional Educational Laboratory Southwest, 2022
The School Improvement Division of the Texas Education Agency (TEA) identifies, monitors, and supports low-performing schools. To identify low-performing schools, TEA assigns annual academic accountability ratings to its districts and schools, but these ratings are provided only once per year and are vulnerable to disruptions in the assessment…
Descriptors: Accountability, Low Achievement, Educational Indicators, Student Behavior
Regional Educational Laboratory Southwest, 2022
The School Improvement Division of the Texas Education Agency (TEA) identifies, monitors, and supports low-performing schools. To identify low-performing schools, TEA assigns annual academic accountability ratings to its districts and schools, but these ratings are provided only once per year and are vulnerable to disruptions in the assessment…
Descriptors: Accountability, Low Achievement, Educational Indicators, Student Behavior
Bos, Johannes M.; Graczewski, Cheryl; Dhillon, Sonica; Auchstetter, Amelia; Cassasanto-Ferro, Julia; Kitmitto, Sami – American Institutes for Research, 2022
The purpose of this study is to evaluate the implementation and impacts of the Building Assets, Reducing Risks (BARR) model in its first year of implementation in 66 schools across the U.S. and to document scale-up progress during the Investing in Innovation (i3) grant period (2017-2021). The impact evaluation included 21,529 9th grade students…
Descriptors: Program Effectiveness, Grade 9, Secondary School Students, Secondary School Teachers
Horowitz, Eric; Sorensen, Nicholas; Yoder, Nicholas; Oyserman, Daphna – Grantee Submission, 2018
Classroom activities aimed at changing students' identity-based motivation (IBM) improve student outcomes by helping students experience school as the path to their adult future identities and their difficulties along the way as signals of the importance of schoolwork. One way to scale these effects would be to have teachers deliver IBM…
Descriptors: Student Motivation, Identification (Psychology), Learning Activities, Intervention
Sarah Komisarow – Education Finance and Policy, 2022
StudentU is a comprehensive program that provides education, nutrition, and social support services to disadvantaged middle and high school students outside of the regular school day. In this paper I investigate the effects of this multiyear program on the early high school outcomes of participating students by exploiting data from oversubscribed…
Descriptors: Academic Achievement, Nutrition Instruction, Social Support Groups, Disadvantaged
Sarah Komisarow – Annenberg Institute for School Reform at Brown University, 2020
StudentU is a comprehensive program that provides education, nutrition, and social support services to disadvantaged students outside of the regular school day. In this paper I investigate the effects of this multi-year program on the early high school outcomes of participating students by exploiting data from oversubscribed admissions lotteries.…
Descriptors: Academic Achievement, Nutrition Instruction, Social Support Groups, Disadvantaged
Pareja, Amber Stitziel; Stachel, Suzanne – Society for Research on Educational Effectiveness, 2013
This current paper uses data collected as part of an efficacy trial funded by a grant from the Institute of Education Sciences (IES) National Center for Education Research (NCER) (See Symposium Justification and Paper #1 for a more complete description of the focus of the broader study). Since participation in the study was voluntary, students…
Descriptors: Remedial Mathematics, Summer Schools, Algebra, Credits
McKee, M. Todd; Caldarella, Paul – Education, 2016
Dropping out of high school has negative results and implications for individuals and society. The likelihood of dropping out is attributed to both social and academic risk factors. Poor high school attendance, low course completion, and low grade-point-average (GPA) have been identified as three leading indicators that students are at risk for…
Descriptors: Middle School Students, High School Students, Academic Achievement, Predictor Variables
Paeplow, Colleen – Wake County Public School System, 2013
Retention means repeating one or more courses in high school, rather than a full grade. Over 3,500 high school students were retained in 2011-12 in Wake County Public School (WCPSS), with the largest numbers in grades 9 and 10. Some students enter high school below grade level. In 2011-12, half the WCPSS high schools had greater than 30% of…
Descriptors: High School Students, Readiness, Academic Failure, Reading Achievement
Mac Iver, Martha Abele; Messel, Matthew – Council of the Great City Schools, 2012
This study of high school outcomes in the Baltimore City Public Schools builds on substantial prior research on the early warning indicators of dropping out. It sought to investigate whether the same variables that predicted a non-graduation outcome in other urban districts--attendance, behavior problems, and course failure--were also significant…
Descriptors: Academic Achievement, Grade Point Average, Enrollment, Behavior Problems
Klapproth, Florian; Schaltz, Paule – International Journal of Higher Education, 2013
If teachers knew in advance whether their students are at risk of school failure, they would have the opportunity to supply these students with additional or special instruction. In Luxembourg, the likelihood of failure in school is particularly high. Taking this result into account, this paper deals with the identification of variables of primary…
Descriptors: At Risk Students, Academic Failure, Foreign Countries, Elementary School Students
Brunner, Josie; Malerba, Cathy – Online Submission, 2010
This research brief provides highlights from the full report (published separately). In the report on AISD students, with a focus on the graduating class of 2009, the most powerful predictors of overall student dropout risk were having an 8th-grade attendance rate of less than 90% and failing both the 8th-grade reading and math TAKS tests. [For…
Descriptors: Grade 8, Predictor Variables, Dropout Characteristics, Dropouts
Brunner, Josie – Online Submission, 2010
The most powerful predictors of overall dropout risk among Austin Independent School District (AISD) 9th graders were failing either the state of Texas reading or math TAKS tests, having school attendance below 90%, and being 16 years or older at the start of the school year.
Descriptors: Grade 9, At Risk Students, Dropouts, Attendance
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