Purpose: Adolescents with developmental language disorder (DLD) are an underserved population. Having DLD affects adolescents' academic and eventual economic success, supporting the need for accurate, clinically feasible DLD screening tools for adolescents. The objective of this review is to identify clinically feasible screening tools for…

This chapter presents a critical analysis of generative AI (GenAI) detection tools in higher education assessments. The rapid advancement and widespread adoption of GenAI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms. I explore the effectiveness, vulnerabilities, and ethical implications of AI…

Purpose: One important decision speech language pathologists make when planning anomia treatment is the identification and selection of the specific vocabulary items to target during therapy. However, this process is not entirely straightforward. Although 'functional relevance' has high face validity for the identification of target items,…

Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification…

Accurate identification of autism is a pressing challenge for rural, medically underserved communities. Tele-assessment could address some barriers to care by increasing access to expert diagnosticians, but questions remain regarding how best to implement these approaches. To gather community input regarding rural families' perceptions and use of…

Teachers' perceptions, attitudes, and opinions about students, curricula, or evaluation methods contribute to the development of students' talents. Thus, researchers often collect data from teachers to identify gifted students, determine educational practices to meet the students' needs and assess gifted education programs. Researchers often…

Early identification plays a crucial role in providing timely support to students with learning disabilities, such as dyslexia, in order to overcome their reading difficulties. However, there is significant variability in the methods used for identifying dyslexia. This study aimed to explore and understand the practices of dyslexia identification…

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…

Anonymous marking, as a means to mitigate bias in grading, involves evaluating student work with their identities withheld. Anonymous marking is explored in this self-study to mitigate implicit bias, which negated a practitioner-researcher's educational values. The mixed methods action research findings show withholding student identities during…

Research in the field of gifted and talented has significantly shifted in recent years to focus on broader conceptualizations of the construct, including performing arts, creativity, and leadership. Yet, it is not clear how states conceptualize and identify students as gifted and talented given the last review of state gifted and talented…

The wait for ASD evaluation dramatically increases with age, with wait times of a year or more common as children reach preschool. Even when appointments become available, families from traditionally underserved groups struggle to access care. Addressing care disparities requires designing identification tools and processes specifically for and…

This study investigates the familiarity with and application of Dynamic Assessment (DA) among Speech and Language Pathologists (SLPs) in Sweden, focusing on its use in diagnosing language disorders in children. Using a mixed-methods approach, survey data were collected from 565 SLPs, revealing that 72% were familiar with DA. However, a significant…

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…

The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI's ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments.…