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Goldstein, Sam; Sellars, Tiffany; Velez, Alexandro – Psychology in the Schools, 2023
The mean age of identification for autism spectrum disorder (ASD) occurs during the months before children enter kindergarten. The incidence and prevalence of "autistic behaviors" in the general population are not fully understood, however, census-matched studies of these behaviors have yielded important new data. As children presenting…
Descriptors: Eligibility, Identification, Intervention, Autism Spectrum Disorders
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deLeyer-Tiarks, Johanna M.; Li, Michael G.; Levine-Schmitt, Michelle; Andrade, Bryndis; Bray, Melissa A.; Peters, Emily – Psychology in the Schools, 2023
The purpose of this review is to broadly identify technological advances in supports and evaluation for individuals on the autism spectrum. Literature review with commentary on the evolving technologies supporting and/or evaluating social-emotional, behavioral, academic, and cognitive domains. There has been an increasing synthesis of technology…
Descriptors: Autism Spectrum Disorders, Technology Uses in Education, Technological Advancement, Educational Technology
Rachel R. Mcgee – ProQuest LLC, 2024
The rate of children being diagnosed with autism is growing rapidly. Currently, 1 in every 36 children born will go on to have an autism diagnosis (Centers for Disease Control and Prevention, 2023). Teachers and early educators working with young children do not have the training required to identify children at risk for this developmental…
Descriptors: Autism Spectrum Disorders, Disability Identification, Intervention, Early Childhood Teachers
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Sabatini, John – Adult Literacy Education, 2022
Despite intensive study in the fields of neuroscience, psychology, genetics, and education, simple truths about dyslexia have been slow to emerge, with some early results not holding up to further scientific scrutiny. Research conducted with and applied to adult learners is especially thin, as intensive scientific scrutiny has increasingly focused…
Descriptors: Dyslexia, Reading Difficulties, Adults, Adult Learning
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Xiaona Xia; Wanxue Qi – European Journal of Education, 2025
Massive Open Online Courses (MOOCs) effectively support online learning behaviour; while constructing a sustainable learning process, MOOCs have also formed the social network. In addition, learners' burnout state has become a serious obstacle to the development and promotion of MOOCs. This study analyzes the potential social behaviour associated…
Descriptors: MOOCs, Burnout, Social Behavior, Feedback (Response)
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Ser Hong Tan; Jerrell C. Cassady; Jason Kang Chiang Wong; Kiat Hui Khng; Wei Shin Leong – Psychology in the Schools, 2025
Test anxiety is experienced in competence-based situations, such as tests and exams, where one is anxious and concerned about failure in performance outcomes. It is often of interest to both research and applied settings to identify students who are high on test anxiety to understand the characteristics of high test anxiety or to provide support…
Descriptors: Test Anxiety, Identification, Children, Adolescents
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Si-Jia Jia; Jia-Qi Jing; Chang-Jiang Yang – Journal of Autism and Developmental Disorders, 2025
Purpose: With the increasing prevalence of autism spectrum disorders (ASD), the importance of early screening and diagnosis has been subject to considerable discussion. Given the subtle differences between ASD children and typically developing children during the early stages of development, it is imperative to investigate the utilization of…
Descriptors: Autism Spectrum Disorders, Screening Tests, Clinical Diagnosis, Artificial Intelligence
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Patterson, Chris R.; York, Emily; Maxham, Danielle; Molina, Rudy; Mabrey, Paul, III – Journal of Learning Analytics, 2023
The anticipation, inclusion, responsiveness, and reflexivity (AIRR) framework (Stilgoe et al., 2013) is a novel framework that has helped those in science and technology fields shift their focus from products to the processes used to create those products. However, the framework has not been known to be applied to the development and…
Descriptors: Learning Analytics, Innovation, School Holding Power, At Risk Students
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Artawan Eka Putra, I. Wayan Gede; Purnama Dewi, Ni Putu Eka; Probandari, Ari Natalia; Notobroto, Hari Basuki; Wahyuni, Chatarina Umbul – Health Education & Behavior, 2023
Lack of participation of household contacts is the main problem of early detection of tuberculosis (TB) in Indonesia. A comprehensive health education (CHE) program has been developed to encourage the participation of household contacts. This study aimed to assess the implementation of the CHE to improve participation of household contacts in…
Descriptors: Health Education, Identification, Communicable Diseases, Foreign Countries
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Cusack, L.; Jones, M.; Desha, L.; Hoffmann, T. C. – Health Education Research, 2023
Making informed health decisions requires knowledge and skills in appraising health claims, and teaching adolescents these skills may prepare them for future decision-making. This cluster randomized trial evaluated the effectiveness of an educational intervention on students' ability to identify and appraise health claims. Nine Australian high…
Descriptors: Foreign Countries, High School Students, Critical Thinking, Thinking Skills
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Fendler, Richard J.; Yates, Michael C.; Godbey, Jonathan M. – Journal of Instructional Pedagogies, 2023
This research utilizes a unique, validated, multiple-choice exam design that allows researchers to observe and measure the degree to which students copy answers from their peers. Using data collected from the exam, this study investigates whether asking students to sign an honor code at the start of the exam reduced instances of cheating relative…
Descriptors: Cheating, Prevention, Multiple Choice Tests, Ethics
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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
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Knoo Lee; Camille Brown; Emily Singerhouse; Lauren Martin; Barbara J. McMorris – Journal of School Nursing, 2025
Regular attendance is integral for students' academic success; it also affects adolescents' physical and mental health. Very few studies consider (a) differences between partial- and full-day absences regarding chronic absenteeism (CA; missing school [greater than or equal to]15 days in an academic year); or (b) roles of school nurses in…
Descriptors: School Nurses, Role, School Health Services, Attendance
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Alison M. Hardy; J. E. Miller; Sarah R. Powell; Nancy Scammacca – Psychology in the Schools, 2025
Students encounter hundreds of word problems throughout the elementary grades and on standardized assessments through high school. To demonstrate proficiency on these measures of mathematics competency, students must be skilled in solving word problems. Early detection of word-problem difficulty is essential, and screeners play an important role…
Descriptors: Elementary School Students, Word Problems (Mathematics), Mathematics Education, Secondary School Students
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Mohammad A. Beirat; Ahmad Algolaylat; Hussein Al Njadat; Bassam AlAbdallat; Alaa K. Al-Makhzoomy – Educational Process: International Journal, 2025
Background/purpose: This paper systematically reviews current advancements in AI-based diagnostic tools and assistive technologies, analyzing their influence on the early detection, treatment, and educational support of autism spectrum disorders (ASDs). The review aims to identify both the benefits and challenges of incorporating these…
Descriptors: Artificial Intelligence, Assistive Technology, Autism Spectrum Disorders, Clinical Diagnosis
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