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Brigham, Frederick J.; McKenna, John William; Claude, Christopher M.; Brigham, Michele M. – Advances in Special Education, 2021
This chapter summarizes issues related to the accurate and timely identification of students with emotional and/or behavioral disorders (EBDs) as well as identifying need, planning interventions, and monitoring outcomes. First, we describe ongoing issues and concerns with accurate (e.g., minimization of false positives and false negatives) and…
Descriptors: Emotional Disturbances, Behavior Disorders, Disability Identification, Student Needs
Goldhaber, Dan; Koedel, Cory; Ozek, Umut; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2021
We use comprehensive administrative data from three states to document the relationships between geographic mobility and student outcomes during K-12 schooling. We focus specifically on "nonstructural" mobility events--which we define as school or district changes that do not occur naturally as the result of planned transitions between…
Descriptors: Student Mobility, At Risk Students, Identification, Elementary Secondary Education
Rebecca E. Murray; Erin E. Barton – Review Journal of Autism and Developmental Disorders, 2021
The American Academy of Pediatrics recommends using an autism-specific screening tool for all young children at primary care well visits. Screening can detect risk of autism spectrum disorder (ASD) in young children whose parents and pediatrician may not otherwise have developmental concerns. The identification of children with or at-risk for ASD…
Descriptors: Pediatrics, Physicians, Autism Spectrum Disorders, Young Children
Zachary D. Maupin – ProQuest LLC, 2021
Students with school refusal behavior (SRB) often present complex cases that include variations of internalizing (anxiety and depression) and externalizing (opposition and defiance) mental health struggles. Historically, incongruent classification methods and terminology have hindered the progress of effectively or consistently assessing SRB.…
Descriptors: Mental Health, Student Welfare, Student Behavior, Behavior Problems
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – AERA Open, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Identification, Two Year College Students, Community Colleges
Meghan Phadke – ProQuest LLC, 2021
In the last quarter century, the United States has seen the highest levels of immigration since the turn of the 19th century (Frey, 2020; Massey, 2013). Unlike migrations of the past, this one has brought Brown and Black folks from across the Global South to the United States, forever changing the demographics of the nation (Frey, 2020; Foner,…
Descriptors: Asian Americans, Teachers, Sense of Belonging, United States History
C. June Maker; Randy Pease; A. Kadir Bahar – Roeper Review, 2024
During the Cultivating Diverse Talent in STEM (CDTIS), studies were designed to identify and cultivate talent in potential innovators from low socioeconomic status (SES) and cultural groups underrepresented in the region: American Indian and Hispanic. Comparisons were made between those identified using conventional measures (CI) and those…
Descriptors: STEM Education, Academically Gifted, Talent Development, Talent Identification
Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
Sarika S. Gupta; Gregory A. Cheatham; Natasha Strassfeld; Xiaohan Zhu; Cristina Medellin; Mark Nagasawa – Contemporary Issues in Early Childhood, 2024
Our team was awarded a grant by a private organization in partnership with a local research network to examine disparities in the special education referrals and services provided to young children in New York City (NYC). Our convergent mixed-methods study is exploring how the NYC preschool ecology--consisting of "process,"…
Descriptors: Inclusion, Preschools, Teacher Attitudes, Teacher Role
Nelson Flores; Mark Lewis – Equity & Excellence in Education, 2024
At the core of contemporary U.S. language education policy is the dichotomous dividing of bilingual students into English Learners (ELs) who are entitled to extra support and non-ELs who are not entitled to this support. In this article, we genealogically trace the normative assumptions that go into this framing of the issue. We begin by examining…
Descriptors: Educational Policy, Educational Legislation, Bilingual Education, Second Language Learning
Charity B. Griffin; Josefina Bañales; Elan C. Hope; Kamilah B. Legette – Psychology in the Schools, 2024
This preliminary investigation explored associations between Black adolescents' experiences with parental racial socialization (racial pride and racial barrier messages), dimensions of racial identity (centrality and private regard), and critical reflection regarding the need for school change of racial inequity. One hundred fifty-one (78 girls;…
Descriptors: Blacks, High School Students, Racial Identification, Racial Relations
Raul Villanueva; Yaziri Gonzalez; Izabela Gomes – Journal of Extension, 2024
Two graduate students and a faculty member of the Department of Entomology at the University of Kentucky developed and implemented a two-year extension program aimed to train Amish farmers on identification and management of their major agricultural problems. Students conducted periodical visits to the community, inquired about farmers' needs, and…
Descriptors: Extension Education, Student Experience, Graduate Students, Religious Cultural Groups
Berkay Ceylan; Melek Altiparmak Karakus – International Journal of Technology in Education and Science, 2024
This research aims to investigate the use of an artificial intelligence-based mobile application with plants and plant identification techniques (AImPLANT) with prospective science teachers in outdoor activities. The goals of the study are: (i) to develop an AI-based mobile application from scratch based customized for education (ii) to enhance…
Descriptors: Artificial Intelligence, Handheld Devices, Telecommunications, Computer Oriented Programs
Melody Wilson; Jamaal Sharif Matthews – npj Science of Learning, 2024
This study investigates the racial-mathematical identity profiles of Black American adolescents. Survey data were collected in five schools across one U.S. urban school district at two time points (spring 2018 [n = 197] and spring 2019 [n = 210]). Based on extant research regarding psychological response patterns to racialized school stress, we…
Descriptors: Adolescents, African American Students, Urban Schools, Anxiety
Deen Mohd Dar – Online Submission, 2024
This study explores the educational implications of autism spectrum traits as assessed by the Deenz Autism Spectrum Profile Assessment Scale (DASPAS-42). The scale evaluates 14 dimensions: socialization, communication, sensory processing, flexibility, routine adherence, repetition, emotional sensitivity, anxiety, empathy, motor skills, attention,…
Descriptors: Autism Spectrum Disorders, Preadolescents, Adolescents, Interpersonal Competence

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