Purpose: Children who have late language emergence, or are late talkers (LTs), have substantially lower vocabulary levels than their peers, on average. Notably, differences in how researchers define "who" comprises LTs can lead to inconsistencies across findings. The current study examined how the number of children identified as LTs…

This study focuses on how first-generation college students understand their first-generation identity in relation to their other multiple identities. Through photovoice methodology, students demonstrate the meaning making of being first-generation college students related to their other social identities. This study discusses four themes: (a)…

The purpose of this quantitative study was to examine if implicit bias among Indiana educators might affect the identification of gifted Black students for programming. Educators, within school districts with high minority populations, were asked to provide a demographic survey and then take the Implicit Association Test (IAT). Survey data were…

Professional learning focused on racial equity in schools should transform educators' beliefs and interrupt inequitable outcomes for students. To ensure that it does, professional learning leaders must not only excel at typical facilitation skills -- such as being aware of group dynamics, supporting inquiry, and creating relationships -- but…

This paper presents a novel approach for mitigating wormhole attacks on wireless networks using propagation delay timing. The wormhole attack is a persistent security threat that threatens the integrity of network communications, potentially leading to data theft or other malicious activities. While various methods exist for combating wormhole…

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…

This article explores the role of dyslexia identification within the broader shift toward inclusive education. While dyslexia is widely recognised as a neurobiological condition, ongoing debates question its validity, diagnostic criteria, and the fairness of access to support. Additionally, research presents conflicting findings on the impact of…

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…

Purpose: This study aims to evaluate the effectiveness of three large language models (LLMs), GPT-4o, Llama 3.3 70B and Llama 3.1 8B, in redacting personally identifying information (PII) from forum data in massive open online courses (MOOCs). Design/methodology/approach: Forum posts from students enrolled in nine MOOCs were redacted by three…

Being able to call on students during class increases the likelihood of instructor immediacy. As a result, due to a decrease of distance between students and the instructor which may increase the likelihood of creating an inclusive environment. An inclusive pedagogical strategy that has been shown to be effective in knowing student names is the…

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…