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Yan Ping Xin; Soo Jung Kim; Jingyuan Zhang; Qingli Lei; Büsra Yilmaz Yenioglu; Samed Yenioglu; Signe Kastberg; Bingyu Liu; Xiaojun Ma – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Students with learning disabilities/difficulties in mathematics often apply ineffective procedures to solve word problems. Given that current mathematics curriculum standards emphasize conceptual understanding in problem solving as well as higher-order thinking and reasoning, the purpose of this study was to evaluate the impact of a model-based…
Descriptors: Learning Disabilities, Mathematics Instruction, At Risk Students, Problem Solving
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Yu Bao; Jin Liu; Christine DiStefano; Ruyi Ding – Psychology in the Schools, 2025
Behavioral and emotional disorders in childhood can have lasting impacts in areas such as education and future employment, often extending into adulthood. Identifying the potential disorders in children's early grades is beneficial to provide proactive assistance. In this study, we employed a well-validated scale - the Strengths and Difficulties…
Descriptors: Identification, Behavior Problems, Emotional Disturbances, Goodness of Fit
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Umer, Rahila; Susnjak, Teo; Mathrani, Anuradha; Suriadi, Lim – Interactive Learning Environments, 2023
Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…
Descriptors: Prediction, Student Behavior, Models, Academic Achievement
Reinke, Wendy M.; Herman, Keith C.; Thompson, Aaron; Copeland, Christa; McCall, Chynna S.; Holmes, Shannon; Owens, Sarah A. – Grantee Submission, 2021
Many youth experience mental health problems. Schools are an ideal setting to identify, prevent, and intervene in these problems. The purpose of this study was to investigate patterns of student social, emotional, and behavioral risk over time among a community sample of 3rd through 12th grade students and the association of these risk patterns…
Descriptors: Mental Disorders, Models, Mental Health, Prevention
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Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
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Reinke, Wendy M.; Herman, Keith C.; Thompson, Aaron; Copeland, Christa; McCall, Chynna S.; Holmes, Shannon; Owens, Sarah A. – School Psychology Review, 2020
Many youth experience mental health problems. Schools are an ideal setting to identify, prevent, and intervene in these problems. The purpose of this study was to investigate patterns of student social, emotional, and behavioral risk over time among a community sample of 3rd through 12th grade students and the association of these risk patterns…
Descriptors: Mental Disorders, Models, Mental Health, Prevention
Nicole Emidy – ProQuest LLC, 2023
This study investigated the impact of implementing School responder model (SRM) programs on addressing mental and behavioral health needs to reduce problem behavior and prevent the school-to-prison pipeline. While successful school-based mental health interventions exist, the effectiveness of SRM programs in countering the school-to-prison…
Descriptors: Middle School Students, Secondary School Students, Public Schools, Models
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Chow, Jason C. – School Psychology Quarterly, 2018
Children and youth rely on language skills to navigate environments, many of which are multifaceted and complex. In a society in which successful interactions involve language and prosocial behavior, children who struggle with language or classroom behavior are predisposed to failure. The present perspectives article (a) summarizes the comorbidity…
Descriptors: Behavior Problems, Children, Language Skills, Language Impairments
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Andrea Middleton – International Journal of Nurture in Education, 2022
Previous research exploring the causative risk factors of youth violence have determined that a combination of individual, relationship, community and societal factors contribute to the occurrence of this complex phenomenon. Viable solutions must address all of these levels to be effective and to sustainably prevent instances of youth violence.…
Descriptors: Intervention, Violence, Models, Caring
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Choo, Sam; Park, Sunhi; Nelson, Nancy J. – Learning Disability Quarterly, 2021
Science, Technology, Engineering, and Mathematics (STEM) education initiatives have placed pressure on teachers to bring technology tools into classroom, including three-dimensional (3D) printing. Yet, little research has examined what specific math skills are required for 3D printing technology. This article describes a follow-up analysis of…
Descriptors: Spatial Ability, Thinking Skills, Mathematics Instruction, Mathematics Skills
Brown­ Chidsey, Rachel, Ed.; Andren, Kristina J., Ed. – National Professional Resources, Inc., 2015
Problem-­solving assessment is an essential component of multi-­tiered systems of support such as response to intervention (RTI) and positive behavioral interventions and supports (PBIS). This authoritative work provides a complete guide to implementing a wide range of problem­-solving assessment methods, including: (1) functional behavioral…
Descriptors: Educational Assessment, Intervention, Response to Intervention, Positive Behavior Supports
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Baker, Ryan S.; Berning, Andrew W.; Gowda, Sujith M.; Zhang, Shizhu; Hawn, Aaron – Journal of Education for Students Placed at Risk, 2020
Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse school district in Texas. We predict whether a student will drop out in a future school year from data on students' discipline, attendance, course-taking,…
Descriptors: At Risk Students, High School Students, Dropout Prevention, Student Diversity
Linda A. Reddy; Todd A. Glover; Christopher M. Dudek; Alexander Alperin; Nicole B. Wiggs; Briana Bronstein – Grantee Submission, 2022
There is limited research on job-embedded professional development designed to promote paraprofessionals' use of research-based strategies to support students with disruptive behaviors. This study serves as the first clustered randomized controlled trial to investigate the efficacy of the Behavior Support Coaching for Paraprofessional Model…
Descriptors: Paraprofessional School Personnel, Behavior Problems, Intervention, Elementary School Students
Angevine, Colin; Cator, Karen; Liberman, Babe; Smith, Kim; Young, Viki – Digital Promise, 2019
Under the current model of education research and development (R&D), solutions to the pressing challenges facing schools and districts across the country often fail to meet the needs of those who need them most: historically marginalized populations such as Black and Latinx students and students living in poverty. To address this problem,…
Descriptors: Inclusion, At Risk Students, Equal Education, Research and Development
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Burns, Alison Reimuller; Hussong, Andrea M.; Solis, Jessica M.; Curran, Patrick J.; McGinley, James S.; Bauer, Daniel J.; Chassin, Laurie; Zucker, Robert A. – International Journal of Behavioral Development, 2017
The current study demonstrates the application of an analytic approach for incorporating multiple time trends in order to examine the impact of cohort effects on individual trajectories of eight drugs of abuse. Parallel analysis of two independent, longitudinal studies of high-risk youth that span ages 10 to 40 across 23 birth cohorts between 1968…
Descriptors: Substance Abuse, Cohort Analysis, Trend Analysis, Longitudinal Studies
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