Purpose: Children with neurodevelopmental disorders historically exhibit lower and more variable nonverbal intelligence (NVIQ) scores compared to their typically developing peers. We hypothesize that the intrinsic characteristics of the tests themselves, particularly the cognitive constructs they assess, may account for both the lower scores and…

Mixed-effects models are an analytic technique for modeling repeated measurement or nested data. This paper explains the logic of mixed-effects modeling and describes two examples of mixed-effects analyses using R. The intended audience of the paper is psychologists who specialize in cognitive development research. Therefore, the concepts and…

This guidance centers around the users of artificial intelligence (AI) in various roles throughout West Virginia PK-12 schools. It is designed to assist individuals such as superintendents, district staff, educators, and support staff in the appropriate and effective use of AI, particularly generative AI technologies, within West Virginia schools.…

Purpose: Artificial intelligence (AI) is more capable and accessible than ever before. But what does this mean for clinical practice? How can speech-language clinicians evaluate the efficacy, validity, and reliability of AI and machine learning tools for automating assessment and treatment? How can speech-language clinicians ethically use these…

The Smarter Balanced Assessment Consortium (Smarter Balanced) strives to provide every student with a positive and productive assessment experience, generating results that are a fair and accurate estimate of each student's achievement. Further, Smarter Balanced is building on a framework of accessibility for participating students, including…