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Kevin A. Gee; Michael A. Gottfried; S. Colby Woods – Annenberg Institute for School Reform at Brown University, 2024
While foster youth miss more school versus their non-foster counterparts, their status as a foster youth is not static, with many of them entering and exiting the foster care system over time. These dynamics of entry and exit can represent particularly crucial transition periods of stability and instability that may differentially influence…
Descriptors: Foster Care, Child Welfare, Student Behavior, Attendance
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C. Rashaad Shabab – Teaching Mathematics and Its Applications, 2024
This paper applies the well-known cognitive bias of loss aversion from behavioural economics to student decisions over engagement with mathematically demanding coursework. This bias is shown to predict behaviour that is consistent with mathematics anxiety in a dynamic model of student engagement. It is shown that these forces can imply…
Descriptors: Mathematics Anxiety, Mathematics Instruction, Difficulty Level, Student Behavior
Asaad, Marina – ProQuest LLC, 2023
The purpose of this study was to determine changes noted in at-risk students following the implementation of at-risk students of all ages. The study assessed the impact of mentorship on at-risk students' behavior, confidence, and self-efficacy. Qualitative and quantitative analyses were examined, and pre- and post-data were collected and analyzed.…
Descriptors: At Risk Students, Mentors, Program Effectiveness, Student Behavior
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Caroline Mierzwa; Nathaniel von der Embse; Eunsook Kim; Melissa Brown – Journal of Psychoeducational Assessment, 2025
Unaddressed social, emotional, and behavioral (SEB) needs and academic challenges may lead to negative youth outcomes. Universal behavioral risk screeners, like the student self-report Social, Academic, and Emotional Behavior Risk Screener (SAEBRS-SRS), identify at-risk students. To improve screening tool use, research is needed to identify the…
Descriptors: Psychological Patterns, Prediction, Academic Achievement, Screening Tests
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Rochdi Boudjehem; Yacine Lafifi – Education and Information Technologies, 2024
Teaching Institutions could benefit from Early Warning Systems to identify at-risk students before learning difficulties affect the quality of their acquired knowledge. An Early Warning System can help preemptively identify learners at risk of dropping out by monitoring them and analyzing their traces to promptly react to them so they can continue…
Descriptors: At Risk Students, Identification, Dropouts, Student Behavior
Corey Thomas Throckmorton – ProQuest LLC, 2024
The purpose of this study was to explore the alternative education placement characteristics in the state of Arkansas and the demographics of the students placed in ALE. There are eleven characteristics of which two are required to be present in a student profile in order for a student to be placed in alternative education in Arkansas. This…
Descriptors: Nontraditional Education, Student Characteristics, At Risk Students, Discipline
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Hilary Davis; Leigh Anne Tang; Erin M. Picou; Lisa Bastarache; Anne Marie Tharpe – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This methodological study describes a technique for extracting information from deidentified electronic health records (EHRs) to identify occurrences of permanent unilateral hearing loss (UHL) and associated educational comorbidities. Method: This was an exploratory methodological study utilizing approximately 3.3 million de-identified…
Descriptors: Records (Forms), Hearing Impairments, Students with Disabilities, At Risk Students
Smith, Michelle Renee – ProQuest LLC, 2023
There are ramifications for the educational loss that comes with student disengagement. Contemporary use of alternative high schools focuses on Tier III responses to intervention for disengaged students at comprehensive high schools. Alternative schools are affiliated with students disenfranchised by traditional educational institutions and are…
Descriptors: Learner Engagement, Readiness, Nontraditional Education, High School Students
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Amanda P. Williford; Pilar Alamos; Jessica E. Whittaker; Maria R. Accavitti – Early Education and Development, 2024
Research Findings: Students perceived as struggling to regulate their emotions and behavior are at risk for experiencing classroom and school exclusion beginning in preschool. In this preliminary and exploratory secondary data analysis study, we examined teachers' self-reported use of classroom-based soft exclusionary discipline practices with…
Descriptors: Preschool Teachers, Kindergarten, Student Behavior, Discipline
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Charlotte Corran; Mayesha Khan; Stephanie Gallant; Uri Shalev; Roisin M. O'Connor – Journal of American College Health, 2024
The association between restrained eating and alcohol use remains poorly understood among undergraduates. Consistent with tension reduction theory, individuals with disordered eating may be motivated to drink alcohol to cope with negative emotionality. Perhaps what pushes them to drink despite restriction goals is impulsivity. The combined impact…
Descriptors: Undergraduate Students, Eating Disorders, Alcohol Abuse, Coping
S. Colby Woods; Michael Gottfried; Kevin Gee – Annenberg Institute for School Reform at Brown University, 2024
Students in the foster care system tend to have lower educational outcomes than their peers, including more frequent disciplinary events. However, few studies have explored how transitions into and out of foster care placements are associated with educational outcomes. Using longitudinal data from four California school districts, this study…
Descriptors: Foster Care, Discipline, Student Behavior, Attendance
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Stefanie Findeisen; Alexander Brodsky; Christian Michaelis; Beatrice Schimmelpenningh; Jürgen Seifried – Empirical Research in Vocational Education and Training, 2024
Evidence on the extent to which dropout intention can serve as a valid predictor of dropout decisions remains scarce. This study first presents the results of a systematic literature review of 14 studies examining the relationship between dropout intention and actual dropout in post-secondary education (vocational education and training [VET] or…
Descriptors: At Risk Students, Intention, Dropouts, Predictor Variables
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Navjot Pachu; Sandra Webber; Shaelyn Strachan – Journal of American College Health, 2024
Objective: Examine effects of self-affirmation on university students' processing of health risk messages related to sedentary behavior. Participants: Eighty-eight students from a Canadian university (females = 53; males = 35; M[subscript age] = 21.74, SD = 5.36) participated during the 2018-2019 academic year. Methods: Participants were…
Descriptors: Foreign Countries, College Students, Student Behavior, Physical Activity Level
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Annie Goerdt; Faith Miller; Danielle Dupuis; Meg Olson – Journal of Psychoeducational Assessment, 2024
School-based universal screening in the social, emotional, and behavioral (SEB) domains allows for the early identification of students in need of SEB support. Importantly, equitable assessment in universal screening for the SEB domains is critical to engage in accurate and ethical data-based decision-making. Measurement invariance is one method…
Descriptors: Error of Measurement, Screening Tests, Student Behavior, Elementary School Students
Muata Niamke – ProQuest LLC, 2024
This study examines the effects of the Students of Promise (SOP), USA school-based planned mentoring program on African-American high school students' academic performance, behavior, and attendance. One of the primary goals of SOP, serving middle through high school students, is to provide academic support and behavioral guidance to youth…
Descriptors: Mentors, African American Students, Academic Achievement, Student Behavior
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