The Coventry Grid (CG) seeks to address clinicians' concerns over the misdiagnosis of autistic spectrum conditions (ASC) and attachment problems (AP). While literature exists exploring the clinical benefits of the CG, and recent modifications have included the Pathological Demand Avoidance (PDA) profile, its potential in the educational context…

University student populations are often characterised by low levels of subjective wellbeing. To understand student wellbeing from the social perspective, this study aimed to explore the prediction of wellbeing by social factors over and above the effects of stress. A particular focus was placed on the impact of social support from different…

Background: School nurses are often tasked with identifying and managing mental and behavioral health concerns. The objective of this study was to better understand school nurse and school preparedness to identify and manage mental health conditions and psychological stressors. Methods: The authors developed a questionnaire, which was…

This document reports on the methodology used to approach a series of six evidence reviews on the best practices in the identification, support, and collaborative practices of children and young people with SEND aged 0-25 available to teachers and early year practitioners working in mainstream education in England. These reviews were commissioned…

This rapid review explores how early years practitioners and settings can better support children with stammering, speech and language needs, and promote strong communication development across universal and targeted support levels. Three core areas were examined: (1) identification and assessment; (2) support and intervention; and (3) working…

The young thousand talents (YTT) program has been the largest among various global diasporas attraction programs in China, and its impact assessment has generated mixed results. Using the first five groups of YTT program members as the treatment group, this study constructed a control group using a local and focal matching strategy and enhanced…

Machine learning algorithms have been widely used for identifying at-risk students. Current research focuses on timeliness and accuracy of the predictions, leading to a heavy reliance on demographic data, which introduces severe bias issues. This study develops fairness-aware machine learning models to identify at-risk students in high school…

Teachers serving racially, ethnically, and linguistically diverse communities of learners often struggle to enact instruction that is responsive to their unique backgrounds and lived experiences. This paper introduces Biography-Driven Instruction as an instructional framework for advancing enactment of culturally and linguistically…

This study aims to understand how multiracial Asian American children are portrayed and illustrated in children's picturebooks, with a special focus on their racial identity development. Multiracial individuals are those whose parents are from two or more distinct racial groups (Reynolds, 2009; Viager, 2011). In this study, the descriptor…

Building on the careful racial analyses of Charles W. Mills, this article uses the example case of Black ethnics to illustrate the general plausibility of ethnic identity as a useful political analytic category, suggesting that the absence of ethnic identity in racial analyses mutes important aspects of the lived experiences of racialized persons…

There is limited research regarding the Gilliam Autism Rating Scales-3rd Edition (GARS-3) despite its extensive use. A comprehensive diagnostic evaluation, including the Autism Diagnostic Observation Schedule--2nd Edition (ADOS-2) was provided to 186 clinically referred children suspected of autism ([x-bar] age = 8.98; Autism [AUT] n = 87; Not…

Many autistic people do not learn they are autistic until adulthood. Parents may wait to tell a child they are autistic until they feel the child is "ready." In this study, a participatory team of autistic and non-autistic researchers examined whether learning one is autistic at a younger age is associated with heightened well-being and…

Audit correspondence studies are field experiments that test for discriminatory behavior in active markets. Researchers measure discrimination by comparing how responsive individuals ("audited units") are to correspondences from different types of people. This article elaborates on the tradeoffs researchers face between sending audited…

Native American students appear to be overrepresented in the special education population of PreK-12 schools. In 2021, the National Center for Education Statistics (NCES) reported that a higher percentage of American Indian/Alaska Native children were served by the Individuals with Disabilities Education Act (IDEA) than children in any other…

The first aim of this study was to construct/validate a subscale--with cut-offs considering gender/age differences--for the school-age Child Behavior CheckList (CBCL) to screen for Autism Spectrum Disorder (ASD) applying both data-driven (N = 1666) and clinician-expert (N = 15) approaches. Further, we compared these to previously established CBCL…