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Chuan Cai; Adam Fleischhacker – Journal of Educational Data Mining, 2024
We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…
Descriptors: College Students, Student Attrition, Dropouts, Potential Dropouts
Marcell Nagy; Roland Molontay – International Journal of Artificial Intelligence in Education, 2024
Student drop-out is one of the most burning issues in STEM higher education, which induces considerable social and economic costs. Using machine learning tools for the early identification of students at risk of dropping out has gained a lot of interest recently. However, there has been little discussion on dropout prediction using interpretable…
Descriptors: Dropout Characteristics, Dropout Research, Intervention, At Risk Students
Oda Charlotte Larsen Saetre; Serap Keles; Thormod Idsoe – Scandinavian Journal of Educational Research, 2024
We investigated changes in youths' intentions to quit school after following a group-based cognitive behaviour therapy (CBT) based intervention for depressed adolescents in upper secondary school: the Adolescent Coping with Depression Course (ACDC). Data were collected from 228 youths, 133 of whom received the 14-week ACDC intervention and 95 who…
Descriptors: Depression (Psychology), Correlation, Intention, Dropouts
Piehler, Timothy F.; Zhang, Jingchen; Bloomquist, Michael L.; August, Gerald J. – Prevention Science, 2022
Current evidence-based prevention programming targeting child externalizing problems demonstrates modest overall effect sizes and is largely ineffective for a sizable proportion of youth who participate. However, our understanding of the youth and family characteristics associated with response to specific programming is quite limited. The current…
Descriptors: Kindergarten, Young Children, Aggression, At Risk Persons
Splett, Joni W.; Brann, Kristy L.; Trainor, Kathryn M.; Shen, Zuchao – School Psychology, 2023
Along with increased attention to universal screening for identifying social, emotional, and behavioral (SEB) concerns is the need to ensure the psychometric adequacy of tools available. Nearly all extant tests of universal SEB screening validity focus on traditional inferential forms with little to no study of the consequences of actions…
Descriptors: Elementary School Students, Screening Tests, Social Problems, Emotional Problems
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Edgar I. Sanchez – ACT Education Corp., 2024
Prior research has shown the importance of the ACT score and high school GPA (HSGPA) in predicting college success. Early college success, as indicated by students' first-year college GPA (FYGPA), plays a pivotal role in later college success and timely degree completion (Demeter et al., 2022; Gershenfeld et al., 2016). The accurate prediction of…
Descriptors: College Freshmen, Grade Point Average, Scores, Predictor Variables
Clayton, M. Annette; Teasley, Martell L. – Children & Schools, 2022
Although students must successfully navigate transition years in school in pursuit of sustained academic success, not enough is known about the context-linked experiences of African American male adolescents as they seek to traverse their senior year, one of the most important pivotal points in time for all students. This study examined the…
Descriptors: Context Effect, Academic Achievement, Outcomes of Education, African American Students
Marah Sutherland; Taylor Lesner; Derek Kosty; Cayla Lussier; Keith Smolkowski; Jessica Turtura; Christian T. Doabler; Ben Clarke – Journal of Learning Disabilities, 2023
High-quality Tier 1 instruction is frequently conceptualized as the "foundation" for other tiers of intervention within multitiered systems of support (MTSS) models. However, the vast majority of Tier 2 intervention studies do not account for Tier 1 variables when examining intervention effectiveness. The purpose of this study was to…
Descriptors: Multi Tiered Systems of Support, Mathematics Instruction, Intervention, Fidelity
Söderholm, Fiia; Lappalainen, Kristiina; Holopainen, Leena; Viljaranta, Jaana – Educational Psychology, 2022
This study examined the role of support and schoolwork difficulties in the development of school burnout in general upper secondary education students. Students participated the study twice, in the spring of the first year of general upper secondary education (N = 464) and in the spring of the second year (N = 326). Participants completed…
Descriptors: Burnout, Secondary School Students, Barriers, Student Responsibility
Yoon, Susan; Quinn, Camille R.; Shockley McCarthy, Karla; Robertson, Angela A. – Youth & Society, 2021
The primary aim of this study was to examine gender and racial differences in the association between system involvement types (i.e., child protective services [CPS] only, juvenile justice system only, and dual involvement) and academic outcomes (i.e., grade failure, chronic absenteeism). This study used records from a linked database of public…
Descriptors: Gender Differences, Racial Differences, Child Welfare, Juvenile Justice
Marah Sutherland; Taylor Lesner; Derek Kosty; Cayla Lussier; Keith Smolkowski; Jessica Turtura; Christian T. Doabler; Ben Clarke – Grantee Submission, 2022
High-quality Tier 1 instruction is frequently conceptualized as the "foundation" for other tiers of intervention within multi-tiered systems of support (MTSS) models (Gersten et al., 2009). However, the vast majority of Tier 2 intervention studies do not account for Tier 1 variables when examining intervention effectiveness (Hill et al.,…
Descriptors: Multi Tiered Systems of Support, Mathematics Instruction, Intervention, Fidelity
Kandia Lewis; Jessica A. R. Logan; Leiah J. G. Thomas; Naomi Schneider; Cynthia M. Zettler-Greeley; Laura L. Bailet; Shayne B. Piasta – Grantee Submission, 2023
Research Findings: The current study examined whether collective small-group behavioral engagement and teacher behavior management during small-group instruction predicted print knowledge, phonological awareness, letter writing, and expressive vocabulary gains for preschoolers at-risk for literacy difficulties. This study, part of a larger…
Descriptors: Preschool Children, Preschool Education, Small Group Instruction, Child Behavior
Kandia Lewis; Jessica A. R. Logan; Leiah J. G. Thomas; Naomi Schneider; Cynthia M. Zettler-Greeley; Laura L. Bailet; Shayne B. Piasta – Early Education and Development, 2023
Research Findings: The current study examined whether collective small-group behavioral engagement and teacher behavior management during small-group instruction predicted print knowledge, phonological awareness, letter writing, and expressive vocabulary gains for preschoolers at-risk for literacy difficulties. This study, part of a larger…
Descriptors: Preschool Children, Preschool Education, Small Group Instruction, Child Behavior
Foreman-Murray, Lindsay; Krowka, Sarah; Majeika, Caitlyn E. – Preventing School Failure, 2022
Students with disabilities drop out of high school at a higher rate than typically learning students, impacting their short and long-term educational and employment opportunities and making long-term financial stability less likely. In this review, the authors examined the indicators of dropout among students with high-incidence disabilities at…
Descriptors: Students with Disabilities, Dropout Prevention, At Risk Students, Secondary School Students