Cognitive Abilities Test (CogAT) is one of the most frequently used gifted identification tools. In this meta-analytic study, we investigated empirical evidence of the validity of CogAT, in relation to different types of instruments. After reviewing 1,480 studies, a total of 24 with 33 effect sizes were included in the meta-analysis. According to…

Schools conduct comprehensive psychoeducational evaluations to identify students with specific learning disabilities (SLDs) and determine whether they qualify for special education services. This decision-making process is complex and research has documented many factors influencing SLD identification decisions. One such factor may be…

Fluency confound (FC) has been a widely studied issue in divergent thinking (DT) tasks. In this study, the impact of DT task structure on FC was examined by focusing on activity level data from Torrance Tests of Creative Thinking (TTCT)-Figural. The TTCT-Figural involves two different task structures. Prompts in Activities 1 and 2 are designed for…

The purpose of this study is to investigate how K-12 school districts can create and increase a positive working relationship with parents and guardians who have students that are actively going through the initial evaluation process to determine if their student meets eligibility criteria to receive special education services. A phenomenological…

The early detection of neurodevelopmental disorders (NDDs) can significantly improve patient outcomes. The differential burden of non-synonymous de novo mutation among NDD cases and controls indicates that de novo coding variation can be used to identify a subset of samples that will likely display an NDD phenotype. Thus, we have developed an…

Machine learning has evolved and expanded as an interdisciplinary research method for educational sciences. However, cheating detection of test collusion among multiple examinees or sets of examinees with unusual answer patterns using machine learning techniques has remained relatively unexplored. This study investigates collusion on…

Background: Dementia is increasingly prevalent in people with severe/profound intellectual disabilities. However, early detection and diagnosis of dementia is complex in this population. This study aimed to identify observable dementia symptoms in adults with severe/profound intellectual disabilities in available literature. Method: A systematic…

ASD is a neurodevelopmental disorder impacting 1 in 44 children and early identification of children with ASD is critical for the intervention. Several screening measures have been developed for early identification, including the "Autism Spectrum Rating Scales, 6-18 years Parent Report (ASRS)." The ASRS has been understudied, and the…

Finding all the "gifted" students who would benefit from a gifted and talented service is a perpetual concern. In this article, we focus on how to effectively implement multiple criteria in identification. First, we provide some broad background before introducing three different ways to combine multiple data points (AND, OR, and MEAN)…

Camouflaging (or otherwise referred to as masking or passing) involves hiding one's autistic-related characteristics and differences to get by in social situations in predominantly non-autistic societies. Very little is known to date about the course of camouflaging motivations and strategies over time or the psychosocial factors that may…

Purpose: This study aimed to develop a model for identifying talented faculties in regional universities. Design/methodology/approach: In this study, the systematic grounded theory (GT) approach has been used. The research population consisted of academic and scientific experts of higher education system who had more knowledge about the subject of…

This paper presents a systematic literature review aimed at consolidating knowledge on the application of eye-tracking technology in the diagnosis of dyslexia among school-aged children (6-12 years). Through a meticulous search and selection process, 20 studies conducted over the last 10 years were identified and analyzed to evaluate the…

With the emergence of Artificial Intelligence (AI), smart education has become an attractive topic. In a smart education system, automated classrooms and examination rooms could help reduce the economic cost of teaching, and thus improve teaching efficiency. However, existing AI algorithms suffer from low surveillance accuracies and high…

The present study aimed to examine the opinions of preschool teachers regarding the characteristics of twice exceptional (2E) children. The research was conducted with the participation of 41 preschool teachers working at schools in a provincial centre in Turkey. The data were collected using a semi-structured interview form consisting of four…

This article explores how leadership functions as a form of identity among other multiple and often intersecting social identities. This article reviews emerging scholarship addressing racial identity, gender identity, and LGBTQ+ identities in diverse postsecondary institutional contexts. Finally, the article concludes with examples and…