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…

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…

What happens when students cannot answer teachers' questions in oral examinations? This study investigates how teachers manage students' insufficient answers in disciplinary oral competence exams (DOCEs) in the secondary school context. Using conversation analysis, we show that teachers either pursue an answer by reformulating it and providing…

Running Records are thought to be an excellent formative assessment tool because they generate results that educators can use to make their teaching more responsive. Despite the technical nature of scoring Running Records and the kinds of important decisions that are attached to their analysis, few studies have investigated assessor accuracy. We…

A key aspect of metacognition is metacognitive accuracy, i.e., the degree to which confidence judgments differentiate between correct and incorrect trials. To quantify metacognitive accuracy, researchers are faced with an increasing number of different methods. The present study investigated false positive rates associated with various measures of…

A fundamental challenge in the cognitive sciences is discovering the dynamics that govern behavior. Take the example of spoken language, which is characterized by a highly variable and complex set of physical movements that map onto the small set of cognitive units that comprise language. What are the fundamental dynamical principles behind the…

In this study, 19 college-educated deaf adults with experience using interpreters in educational settings provided insights into how successfully various elements of classroom discourse were preserved through interpretation. The deaf adults, fluent in American Sign Language (ASL) and experienced at using interpreters, watched educational…