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Natalie Brezack; Melissa Lee; Kelly Collins; Wynnie Chan; Mingyu Feng – Grantee Submission, 2025
Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Behavior Patterns, Student Behavior
Xin Wei; Susu Zhang – Grantee Submission, 2023
This study analyzed performance, process, and survey data of eighth graders with learning disabilities (LDs) who took the 2017 National Assessment of Educational Progress (NAEP) digital math test. Compared with students with LDs who did not receive extended time accommodations (ETA), students with LDs who received and used ETA scored significantly…
Descriptors: Grade 8, Middle School Students, Learning Disabilities, Students with Disabilities
Jasmine Lewis; Srinidhi Jayakumar; Rosanna Breaux; Melissa R. Dvorsky; Joshua M. Langberg; Stephen P. Becker – Grantee Submission, 2023
Objective: This longitudinal study investigated the predictors of and changes in psychological trauma during the COVID-19 pandemic. Method: Participants included 236 adolescents (130 males; M age = 16.74 years in spring 2020; 49.6% diagnosed with attention-deficit hyperactivity disorder; 16.1% diagnosed with an anxiety or depressive disorder) in…
Descriptors: Adolescents, COVID-19, Pandemics, Trauma
Rui Fu; Ann L. Perepezko; Catherine P. Bradshaw; Tracy Evian Waasdorp – Grantee Submission, 2023
Race-based bullying (RBB) victimization is a significant concern among youth and can translate into a range of adjustment problems. As such, additional research is needed on possible protective factors that may buffer these effects among RBB victims. One potential factor is school equity, as it may buffer race-based bullying victims from…
Descriptors: Bullying, Racial Differences, Ethnicity, Victims
Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – Grantee Submission, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
David Aguayo; Keith C. Herman; Katrina J. Debnam; Nikita McCree; Lora Henderson Smith; Wendy M. Reinke – Grantee Submission, 2024
Scholars have developed culturally responsive frameworks and interventions to support educators as they aim to create inclusive and equitable classroom environments. Despite the number of frameworks on the topic, research on culturally responsive practices (CRPs) is limited by the lack of clear definitions or evidence on the effectiveness of…
Descriptors: Student Attitudes, Culturally Relevant Education, Equal Education, Inclusion
Emma Armstrong-Carter; Connie Siskowski; Julie Belkowitz; Catherine Johnson; Elizabeth Olson – Grantee Submission, 2022
In the United States, it is estimated that more than 5.4 million children and adolescents under age 18 provide care for adult family members who are aging or have a chronic illness, disability, or other health conditions that require assistance. However, little is known about how providing care to the family during childhood and adolescence…
Descriptors: Adolescents, Caregivers, Middle School Students, High School Students
Pas, Elise T.; Kaiser, Lauren; Rabinowitz, Jill; Lochman, John E.; Bradshaw, Catherine P. – Grantee Submission, 2020
The extent to which youth attend Tier 2 evidence-based intervention is an important dimension of implementation. This study examined attendance patterns of 369 middle schoolers involved in a randomized trial testing the impact of Coping Power, an evidence-based Tier 2 preventive intervention. We conducted latent profile analysis to examine student…
Descriptors: Prevention, Intervention, Middle School Students, Comparative Analysis
Sumi, W. Carl; Woodbridge, Michelle W.; Wei, Xin; Thornton, S. Patrick; Roundfield, Katrina D. – Grantee Submission, 2021
This study examines differential effects of the Cognitive Behavioral Intervention for Trauma in Schools (CBITS) program on behavioral and academic outcomes of middle school students. Researchers administered screenings to grade 6 students to assess traumatic stress and then randomized those with elevated levels to the CBITS treatment (n = 150; 47%…
Descriptors: Trauma, Group Therapy, Middle School Students, Cognitive Restructuring
Meghan E. Clifford; Amanda J. Nguyen; Catherine P. Bradshaw – Grantee Submission, 2021
Social-emotional factors associated with youth aggression have largely been studied in the context of social information-processing models. The ability to accurately encode and appropriately interpret others' emotions has yet to be fully examined in the context of aggressive behavior, particularly during adolescence. Using cross-sectional data…
Descriptors: Self Control, Aggression, Theory of Mind, Social Cognition
Huang, Francis L.; Lewis, Crystal; Cohen, Daniel R.; Prewitt, Sara; Herman, Keith – Grantee Submission, 2018
Students involved in bullying experience mental health issues and negative psychosocial outcomes. Few studies have investigated how teacher-student relationships (TSRs) may buffer the negative outcomes experienced by students involved in bullying. To investigate the moderating role of TSRs with bullying involvement status and psychosocial…
Descriptors: Bullying, Teacher Student Relationship, Mental Health, Psychological Patterns
Wang, Yutao; Heffernan, Neil T.; Heffernan, Cristina – Grantee Submission, 2015
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…
Descriptors: Majors (Students), Affective Behavior, Psychological Patterns, Predictor Variables