Objective: People with intellectual disabilities have historically often been excluded from cognitive based therapies, due to their cognitive deficits. However, adults with intellectual disabilities have been found to have the core cognitive abilities necessary to engage in Cognitive Behaviour Therapy. Despite this emerging evidence, the capacity…

This paper seeks to understand Black racial identity development as defined by Cross's (1991) Nigrescence and how nigrescence aids with solutions to the double bind challenges experienced by novice Black critical literacy teacher educators committed to community engagement during their becoming processes in academia. This paper will explain the…

Automated detection of facial emotions has been an interesting topic for multiple decades in social and behavioral research but is only possible very recently. In this tutorial, we review three popular artificial intelligence based emotion detection programs that are accessible to R programmers: Google Cloud Vision, Amazon Rekognition, and…

Early identification of autism spectrum disorder through cost-effective screening is crucial in low- and middle-income countries. The Child Behavior Checklist 1.5-5, using the Autism Spectrum Problems and Withdrawn Syndrome subscales, has potential as a level 1 autism spectrum disorder screening tool, though its construct validity in low- and…

In scholarly research, racial categories are typically taken for granted. However, race categories vary over time and geography and reflect the social beliefs of the people who use them. Informed by quantitative critical race theory analysis, we interrogate how race categories align (or not) with 24,000 U.S. higher education students' responses to…

Single and multiple sense stimuli create sensescapes, which combine to be perceived as multisensory integrated products. Such encounters may be experienced across multiple spaces and have importance due to esthetic sensuality, cultural value, economic benefit, or religious significance. This article presents a methodological protocol for the…

Autism spectrum disorder (ASD) is characterized by impairments in many functional areas requiring long-term interventions to promote autonomy. This study aims to map The Sensory Profile™ 2 (SP-2), one of the most widely used assessment tools in children with ASD, with the International Classification of Functioning, Disability and Health for…

Background: Despite ongoing efforts to broaden the participation of Black males in engineering, historical data point to a stagnation in their engineering bachelor's degree attainment. Furthermore, the relative dearth of literature that centers the voices of Black male engineering students has limited the propagation of positive change in…

The ability of large language models (LLMs) to generate code has raised concerns in computer science education, as students may use tools like ChatGPT for programming assignments. While much research has focused on higher education, especially for languages like Java and Python, little attention has been given to K-12 settings, particularly for…

Purpose: The notion of using a generative artificial intelligence (AI) engine for text composition has gained excessive popularity among students, educators and researchers, following the introduction of ChatGPT. However, this has added another dimension to the daunting task of verifying originality in academic writing. Consequently, the market…

Autism diagnosis before age three to expedite access to critical services is a public health priority in the United States. Still, the average age of autism diagnosis is 49 months with substantial variability across states. By examining policy--defined as laws, regulations, procedures, administrative actions, incentives, or voluntary practices of…

Purpose: Sentence repetition (SR) is a promising task for identifying children at risk for developmental language disorder (DLD) but is unclear how to calibrate the task for adults. In verbal recall, the frequency of language structures affects adults with DLD differently from peers with typical language (TL), particularly near the limits of…

Background: School absenteeism and health have a close bidirectional link: children with medical conditions miss more school, and chronic absenteeism is tied to poor health outcomes. Despite rising absenteeism, tools to assess school attendance in healthcare settings remain underexplored. Brief, standardized attendance screening may help address…

Operational definitions have a significant history in applied behavior analysis. The practice's importance stems from the role operational definitions play in detecting an event, human thought, or action. While operationalizing target behaviors has enjoyed widespread practice, some concerns have recently arisen with translation validity and…

This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…