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Rebecca Hinze-Pifer; Lauren Sartain – Grantee Submission, 2018
Driven by a combination of concern for historically high suspension rates and substantial disproportionalities in suspension use, a recent wave of education reforms encourages schools to reduce their use of suspensions for student behavior management. Both academic and political discourse has focused on the extensive use of suspension for…
Descriptors: Behavior Disorders, Student Behavior, Suspension, Disproportionate Representation
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Rebecca Hinze-Pifer; Lauren Sartain – Peabody Journal of Education, 2018
Driven by a combination of concern for historically high suspension rates and substantial disproportionalities in suspension use, a recent wave of education reforms encourages schools to reduce their use of suspensions for student behavior management. Both academic and political discourse has focused on the extensive use of suspension for…
Descriptors: Behavior Disorders, Student Behavior, Suspension, Disproportionate Representation
Johnson, Courtney – ProQuest LLC, 2017
A metropolitan school district wanted to understand blended learning as it existed in one of their high schools. Blended learning had been school-wide for four years, and district administrators wanted to know how students, teachers, and school administrators perceived blended learning and its impact on student engagement. This was a…
Descriptors: High School Students, Urban Schools, Blended Learning, Learner Engagement
Somers, Marie-AndrĂ©e; Garcia, Ivonne – MDRC, 2016
Ninth Grade Academies (NGAs)--also called Freshman Academies--have attracted national attention as a particularly intensive and promising approach for supporting a successful transition for high school freshmen. An NGA is a self-contained learning community for ninth-graders that operates as a school within a school. NGAs have four core structural…
Descriptors: Grade 9, Transitional Programs, High School Freshmen, Student Adjustment
Espelage, Dorothy L.; Rose, Chad A.; Polanin, Joshua R. – Remedial and Special Education, 2016
This 3-year study evaluated the effectiveness of the Second Step-Student Success Through Prevention (SS-SSTP) social-emotional learning program on increasing prosocial behaviors that could serve as protective factors against peer conflict and bullying among students with disabilities. Participants included 123 students with disabilities across 12…
Descriptors: Longitudinal Studies, Prosocial Behavior, Academic Ability, Middle School Students
Terrier, Camille – Centre for Economic Performance, 2015
This paper tests if gender-discrimination in grading affects pupils' achievements and course choices. I use a unique dataset containing grades given by teachers, scores obtained anonymously by pupils at different ages, and their course choice during high school. Based on double-differences, the identification of the gender bias in grades suggests…
Descriptors: Gender Discrimination, Gender Bias, Grades (Scholastic), Grading
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Kaplun, Cathy; Knight, Jennifer; Grace, Rebekah; Dockett, Sue; Perry, Bob; Comino, Elizabeth; Jackson-Pulver, Lisa; Kemp, Lynn – Educational Studies, 2016
The Gudaga Goes to School Study described the transition to school and early education experiences of 117 urban Aboriginal children and their families. This paper outlines the methods and design of the study. A life course approach, employing multidimensional and multi-theoretical frameworks was used to capture the complexity of issues surrounding…
Descriptors: Indigenous Populations, Urban Areas, Children, Questionnaires
Johnson, Matthew; Demers, Alicia; Johnson, Cleo Jacobs; Gentile, Claudia – Mathematica Policy Research, Inc., 2016
As part of its ongoing efforts to raise the academic achievement of children from low-income families in Kansas City, Missouri, the Ewing Marion Kauffman Foundation founded the Ewing Marion Kauffman School in fall 2011. The Kauffman School's mission is "to prepare students to excel academically, graduate from college, and apply their unique…
Descriptors: Charter Schools, Low Income Groups, At Risk Students, Academic Achievement
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Reeve, Johnmarshall; Lee, Woogul – Journal of Educational Psychology, 2014
Changes in motivation anticipate changes in engagement, but the present study tested the reciprocal relation that changes in students' classroom engagement lead to corresponding longitudinal changes in their classroom motivation. Achievement scores and multiple measures of students' course-specific motivation (psychological need satisfaction,…
Descriptors: Learner Engagement, Student Motivation, Correlation, Scores
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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
Bartik, Timothy J. – W. E. Upjohn Institute for Employment Research, 2013
This paper uses a regression discontinuity model to examine the effects on kindergarten entrance assessments of the Kalamazoo County Ready 4s (KC Ready 4s) program, a half-day pre-K program for four-year-olds in Kalamazoo County, Michigan. The results are based on test scores and other characteristics of up to 220 children participating in KC…
Descriptors: Public Schools, School Districts, Enrollment Trends, Student Characteristics
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis