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Kevin John Coyne – ProQuest LLC, 2024
Chronic absenteeism is a critical predictor for student achievement and high school graduation rates and helps to identify at-risk students. It is a significant challenge in the NYC public school system, driving inequitable outcomes for marginalized students. Since 2014, NYC public schools have used the community school model as an equity…
Descriptors: High Schools, Attendance, At Risk Students, Barriers
Jillian M. Thoele; Sarah DeAngelo – Education and Treatment of Children, 2023
High-quality single-case design research should include measures that assess the social significance of intervention goals, the social importance of intervention outcomes, and the acceptability and feasibility of procedures. We conducted a systematic review to examine the inclusion and use of social validity metrics in academic and behavioral…
Descriptors: Emotional Disturbances, Behavior Disorders, At Risk Students, Intervention
Smith, Bevan I.; Chimedza, Charles; Bührmann, Jacoba H. – Education and Information Technologies, 2022
Although using machine learning for predicting which students are at risk of failing a course is indeed valuable, how can we identify which characteristics of individual students contribute to their being At-Risk? By characterising individual At-Risk students we could potentially advise on specific interventions or ways to reduce their probability…
Descriptors: Individualized Instruction, At Risk Students, Intervention, Models
Jacob S. Gray; Kelly A. Powell-Smith – Annals of Dyslexia, 2025
Rapid automatized naming (RAN) has surged in popularity recently as an important indicator of reading difficulties, including dyslexia. Despite an extensive history of research on RAN, including recent meta-analyses indicating a unique contribution of RAN to reading above and beyond phonemic awareness, questions remain regarding RAN's relationship…
Descriptors: Reading Rate, Naming, Scores, Reading Difficulties
Samantha Shera; Alyssa Blasko; Lee Kern; Christopher T. H. Liang; Jennifer Freeman – Career Development and Transition for Exceptional Individuals, 2025
Students with emotional and behavioral disorders (EBD) are at an increased risk for poor outcomes (e.g., dropout, unemployment, mental health problems). These risks are heightened for students placed in juvenile justice and/or alternative placement settings. Increasing college and career readiness (CCR) opportunities may potentially lead to…
Descriptors: College Readiness, Career Readiness, Emotional Disturbances, Behavior Disorders
John W. Maag – Beyond Behavior, 2025
Use of high-probability request sequences is a low-intensity intervention for increasing student compliance. There are several subtleties in implementing high-probability request sequences that make the process more complex. Review of supporting research raises concerns about how well the intervention translates into practice. This article…
Descriptors: Sentences, Language Usage, Compliance (Psychology), Student Behavior
Paula W. Tharp – International Journal on Social and Education Sciences, 2025
This study examines the capacity for improvement in high-poverty Mississippi schools by comparing internal coherence (IC) levels in Mississippi high-needs improving (MHN-I) and Mississippi high-needs struggling (MHN-S) schools. Despite decades of research identifying best practices in leadership and instruction, the state ranks among the lowest in…
Descriptors: Poverty, Educational Improvement, Leadership Role, Teacher Collaboration
Kelley Hill; Gerard H. Poll; Elizabeth Roberts; Caylee Brand; Sammi DiMuzio – Language, Speech, and Hearing Services in Schools, 2025
Purpose: Adolescents with developmental language disorder (DLD) are an underserved population. Having DLD affects adolescents' academic and eventual economic success, supporting the need for accurate, clinically feasible DLD screening tools for adolescents. The objective of this review is to identify clinically feasible screening tools for…
Descriptors: Literature Reviews, Young Adults, Adolescents, At Risk Students
Tufan Inaltekin; Arzu Kirman Bilgin; Devrim Erginsoy Osmanoglu; Senay Özen Altinkaynak – Learning Disabilities: A Multidisciplinary Journal, 2025
This study aims to examine the extent of conceptual knowledge of students with and at risk of learning disabilities on entrepreneurial business ideas in the region where they reside. Clinical interviews were utilized to collect data in this study, which aims to reveal the current situation. The business ideas discussed in the interviews were…
Descriptors: Students with Disabilities, At Risk Students, Learning Disabilities, Entrepreneurship
Chiara Masci; Marta Cannistrà; Paola Mussida – Studies in Higher Education, 2024
This paper investigates the student dropout phenomenon in a technical Italian university from a time-to-event perspective. Shared frailty Cox time-dependent models are applied to analyse the careers of students enrolled in different engineering programs with the aim of identifying the determinants of student dropout through time, predicting the…
Descriptors: Foreign Countries, Dropouts, Dropout Prevention, Potential Dropouts
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
Storie, Michelle S.; Joseph, Laurice M.; Gillespie, Theresa; McDougal, James – Psychology in the Schools, 2024
The use of brief dyslexia rating scales is increasing given current dyslexia legislation efforts across the United States. The purpose of this article is to provide an overview of the historical context of the use of brief dyslexia rating scales, strengths, and limitations of using these measures, criteria for selecting these measures, and a…
Descriptors: Dyslexia, Rating Scales, Screening Tests, At Risk Students
Lena R. Østergaard; Christina P. Larsen; Lotus S. Bast; Erik Christiansen – Psychology in the Schools, 2024
Danish schools offering "preparatory basic education and training" (FGU schools) have students that are characterized by having different academic, social, or personal problems. In addition, many FGU students are at high risk of suicidal behavior. Many young people with suicide behavior do not seek help and early identification is…
Descriptors: Foreign Countries, Secondary Schools, At Risk Students, Suicide
Jason Willard King – ProQuest LLC, 2024
The Great Mountain High School (GMHS) started a program to help support students at risk for not graduating high school. The focus of this study was to provide a formative program evaluation of the created program that (a) investigated the fidelity of implementation of the activities and processes of the program, (b) gathered an understanding of…
Descriptors: High School Seniors, Grade 12, At Risk Students, Dropout Prevention
Poonam Punia; Swati Jangra; Manju Phor – Open Education Studies, 2024
The present study explored the correlation between different types of stress (acute and chronic) and the influence of their negative emotional manifestations on delinquent tendencies in adolescent students. Within the framework of the general strain theory, the study aims to analyse the intermediary role of depression in the relationship between…
Descriptors: Correlation, Stress Variables, Anxiety, Depression (Psychology)

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