Purpose: Earlier work has established developmental benchmarks for intelligibility and articulation rate, but the intersection of these two variables, especially within individual children, has received limited attention. This study examines the interaction between intelligibility and speaking rate in typically developing children between the ages…

Evidence suggests custom chatbots are superior to commercial generative artificial intelligence (GenAI) systems for text-based anatomy content inquiries. This study evaluates ChatGPT-4o's and Claude 3.5 Sonnet's capabilities to interpret unlabeled anatomical images. Secondarily, ChatGPT o1-preview was evaluated as an AI rater to grade AI-generated…

As Artificial Intelligence (AI) keeps advancing, Generation Alpha and future generations are more likely to cope with situations that call for critical thinking by turning to AI and relying on its guidance without sufficient critical thinking. I defend this worry and argue that it calls for educational reforms that would be designed mainly to (a)…

To see whether communicative-based multimodal skills (compared to non-communicative motor skills) predicted complex language skills, this study examined the predictive power of multimodal and motor skills on narrative and expressive pragmatic abilities across two groups. Participants were children with typical development (N = 88, M[subscript age]…

Purpose: The challenges of language assessment in bilinguals include a lack of assessment tools and bilingual speech-language pathology services. Additionally, the weighting of subtests in standardized tests has not been empirically explored to maximize sensitivity and specificity. Language exposure might also inform the decision to diagnose…

Background: Self-assessment, crucial skill in professional practice, is essential for dentists to deliver patient care. Teaching self-assessment in dental education prepares students for this role. Structured self-assessment refers to self-assessment guided by a predefined criterion-based checklist. This study aimed to evaluate the impact of…

Purpose: Many children with developmental language disorder (DLD) demonstrate impaired executive function skills, including shifting. However, language demands in shifting tasks make it difficult to accurately assess shifting ability. Combining behavioral measures (accuracy, reaction time) with event-related potentials (ERPs) can help dissociate…

Purpose: Predictive coding theories posit that autism is characterized by an over-adjustment to prediction errors, resulting in frequent updates of prior beliefs. Atypical weighting of prediction errors is generally considered to negatively impact the construction of stable models of the world, but may also yield beneficial effects. In a novel…

Real-world recognition requires our memory system to accommodate perceptual changes that occur after encoding; for example, eyewitnesses must recognize perpetrators across changes in appearance. However, it is not clear how this "flexible recognition" ability can be improved: Standard encoding strategies not only tend to be ineffective,…

Use of artificial intelligence (AI) to score responses is growing in popularity and likely to increase. Evidence of the validity of scores relies on quadratic weighted kappa (QWK) to demonstrate agreement between AI scores and human ratings. QWK is a measure of agreement that accounts for chance agreement and the ordinality of the data by giving…

Human users are now able to generate synthetic face images with artificial intelligence (AI) tools. Although indistinguishable from real photographs, these images have tended to feature fictional identities that do not exist in the real world. As a result, their use in applied contexts, including the spread of fake information, is similarly…

Background: Educational programs often use student test scores to determine access to some treatment, such as remedial support or graduation (Jacob & Lefgren, 2004; Martorell, 2004; Matsudaira, 2008; Papay et al., 2011, 2014). In these cases, treatment assignment is based on the student's score from one or more subjects. For example, students…

Successful action anticipation in dynamic social environments, such as sports, requires the integration of prior expectations with observed kinematic cues. However, little is known about how temporal constraints modulate this integration process. In this EEG study, thirty-five expert basketball players completed a sport-specific prediction task in…

When selecting fillers to include in a police lineup, one must consider the level of similarity between the suspect and potential fillers. In order to reduce misidentifications, an innocent suspect should not stand out. Therefore, it is important that the fillers share some degree of similarity. Importantly, increasing suspect-filler similarity…

The multidimensional mixture data structure exists in many test (or inventory) conditions. Heterogeneity also relatively exists in populations. Still, some researchers are interested in deciding to which subpopulation a participant belongs according to the participant's factor pattern. Thus, in this study, we proposed three analysis procedures…