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Thanh Pham; Kun Dai; Eisuke Saito – Compare: A Journal of Comparative and International Education, 2025
The notion of agency has been widely used in various disciplines but is relatively new in the field of employability of international graduates and returnees. This discussion paper addresses this gap by unpacking the determinants that influence the enactment of agency of international Ph.D. graduates in Australia and Ph.D. returnees in China. In…
Descriptors: Personal Autonomy, Foreign Students, Doctoral Students, College Graduates
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
Morgan L. McNair; Victoria Mondejar; Erin J. Libsack; Nicole H. Mordekai; Clark McKown; Nicole M. Russo-Ponsaran; Matthew D. Lerner – Journal of Autism and Developmental Disorders, 2025
Social problem solving (SPS) represents a social cognitive reasoning process that gives way to behavior when individuals are navigating challenging social situations. Autistic individuals have been shown to struggle with specific aspects of SPS, which, in turn, has been related to social difficulties in children. However, no previous work has…
Descriptors: Elementary School Students, Autism Spectrum Disorders, Interpersonal Competence, Social Problems
Manuel S. González Canché; Kaiwen Zheng; Yantao Song; Yunhao Liang – Research in Higher Education, 2025
Despite the emergence of test-optional policies, standardized admission tests continue shaping the college composition and financial aid prospects of hundreds of thousands of students. This is concerning for the following reasons: (a) standardized test results have historically favored test-takers from wealthier and majority backgrounds, (b) test…
Descriptors: Standardized Tests, Talent Identification, Geographic Location, Test Bias
Asha Yadav; Randall Alan Phelps; Jane Squires – Infants and Young Children, 2025
The impact of the coronavirus (COVID-19) pandemic on families of young children with disabilities is well documented; however, there is little published research on the experiences of pediatricians and Part C Early Intervention (EI) personnel during the pandemic. This study examined the collective experiences of general pediatricians and Part C EI…
Descriptors: COVID-19, Pandemics, Pediatrics, Physicians
Catherine Corr; Carlomagno C. Panlilio; Casey Mullins; Samantha Ellner; Jonathan Bystrynski; Mia Chudzik – Topics in Early Childhood Special Education, 2025
We aimed to understand the relation between child maltreatment and special education (SPED) service evaluation referrals in U.S. childcare settings. Extant data (N = 1,354) from the Longitudinal Studies of Child Abuse and Neglect (LONGSCAN) was used to address the study aims. Results indicated that the odds of teacher-initiated service evaluation…
Descriptors: Special Education, Referral, Incidence, Gender Differences
Daniel R. Fredrick; Thomas P. Corbin Jr.; Gregory VanderPyl – Athens Journal of Education, 2025
This paper analyzes essay writing in AI (ChatGPT) and high school students, focusing on their use of specific details. Discussing the writing examples from Waltzer, Cox, and Heyman's study, we employ Aristotle's rhetorical theory to explore how clarity is achieved through specificity in writing. The analysis reveals both ChatGPT and students…
Descriptors: Artificial Intelligence, Technology Integration, Computer Software, Essays
Hyeseong Lee; Jake Cho; Anne Walsh – Journal of Advanced Academics, 2025
This study explores machine learning (ML) approaches for identifying gifted students by integrating academic and socioemotional characteristics from the data collected with the Having Opportunities Promotes Excellence teacher rating scale. By using the Gaussian Mixture Model (GMM) and ML approaches, including support vector machine (SVM) and…
Descriptors: Gifted Education, Talent Identification, Academically Gifted, Electronic Learning
Qixuan Wu; Hyung Jae Chang; Long Ma – Journal of Advanced Academics, 2025
It is very important to identify talented students as soon as they are admitted to college so that appropriate resources are provided and allocated to them to optimize and excel in their education. Currently, this process is labor-intensive and time-consuming, as it involves manual reviews of each student's academic record. This raises the…
Descriptors: Electronic Learning, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Isabella Barclay; Kapil Sayal; Tamsin Ford; Ann John; Mark J. Taylor; Anita Thapar; Kate Langley; Joanna Martin – JCPP Advances, 2025
Background: Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental condition, more often diagnosed in males. In many individuals, particularly females, ADHD is diagnosed later or missed, the reasons for this are not fully understood. Timely diagnosis is needed to provide support, management, and treatment to improve…
Descriptors: Attention Deficit Hyperactivity Disorder, Clinical Diagnosis, Disability Identification, Gender Differences
Jarvais J. Jackson – Urban Review: Issues and Ideas in Public Education, 2025
This paper examines how African Diaspora Literacy (ADL) can be meaningfully integrated into elementary classrooms to center Black histories, cultures, and identities. Grounded in Black educational traditions and critical inquiry, the study explores how two teachers--one teaching African Studies to grades K-5 and another teaching fifth…
Descriptors: Afrocentrism, African Culture, Literacy, Racial Identification
Lotte Van den Eynde; Pieter De Clercq; Ellen Rombouts; Maaike Vandermosten; Inge Zink – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study addresses the challenge of identifying developmental language disorder (DLD) in bilingual children. Despite the broad range of language measurements documented in the literature, their individual contribution to a DLD diagnosis remains unclear. Administrating a high number of tests will yield a holistic child view, but it needs…
Descriptors: Language Impairments, Developmental Delays, Bilingualism, Young Children
Tate LeBlanc; Juan Ramón Arvizu-Sevilla; Aerika Brittian Loyd; Bernadette Sánchez; Lauren Applebaum – Journal for STEM Education Research, 2025
Despite facing systemic and persistent exclusion from STEM careers, Black and Latine youth show rising STEM aspirations during adolescence under certain conditions. Guided by meaning-making and career development perspectives, this study explores how ethnic-racial identity and career outcome expectations predict STEM aspirations among Black and…
Descriptors: Ethnicity, Racial Identification, Occupational Aspiration, Expectation
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
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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