Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan: the clinical cohort comprised 1203 autistic participants and 1182 non-autistic comparisons, and…

We use data from Michigan and an interrupted time series strategy to show how the COVID-19 pandemic impacted special education identifications and discontinuations. We find a substantial decrease in K-5 identifications and discontinuations during the 2019 to 2020 and 2020 to 2021 school years. Identifications fell by 19% and 12% in the first two…

Purpose: This study aimed to evaluate a novel communication system designed to translate surface electromyographic (sEMG) signals from articulatory muscles into speech using a personalized, digital voice. The system was evaluated for word recognition, prosodic classification, and listener perception of synthesized speech. Method: sEMG signals were…

This study examined caregivers' longitudinal reports of adolescent multiracial categorization across the ages of 9.5, 10.5, and 14 years, and adolescents' reports of their own multiracial categorization at the age of 14 years. A portion of caregivers' reports of adolescent multiracial status were inconsistent across the years of the study; some…

Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses…

Deep neural network (DNN) has been widely used in various artificial intelligence applications and is, unsurprisingly, penetrating the field of school psychology. In the school environment, universal screening is used by teachers to identify children's emotional and behavioral risk (EBR) within a screener. EBR can be used to predict possible…

From the point of word formation, the phenomenon of lexical blending is a common productive process, entailing the notion of combination of lexemes in so many languages. In the vast majority of literature on blends, they preserve a linear formation of segments with a shortening of both lexemes. However, in sign languages where morphological…

Although collecting data from multiple informants is highly recommended, methods to model the congruence and incongruence between informants are limited. Bauer and colleagues suggested the trifactor model that decomposes the variances into common factor, informant perspective factors, and item-specific factors. This study extends their work to the…

E-learning environments can store huge amounts of data on the interaction of learners with the content, assessment and discussion. Yet, after the identification of meaningful patterns or learning behaviour in the data, it is necessary to use these patterns to improve learning environments. It is notable that designs to benefit from these patterns…

E-learning is renowned as one of the highly effective modalities of learning. Social learning, in turn, is considered to be of major importance as it promotes collaboration between learners. For properly managing learning resources, recommender systems have been implemented in e-learning to enhance learners' experience. Whilst recommender systems…

To examine reliability and validity of the new Social Motor Function Classification System for Children with Autism Spectrum Disorders (SMFCS-ASD). The SMFCS-ASD reliability was examined on 25 children (62.4 months SD 7.8) with ASD among six physical therapists. The validity study involved 1001 children (57.0 months, SD 9.9) with ASD using the…

Classroom observation is a common approach to teacher evaluation. Yet, concerns about differences in rater judgment are widespread. Despite this concern, few researchers have examined the practical impact of such differences in rater judgments on teachers' judged effectiveness. This study fills that gap. Using data from a large-scale teacher…

The aim of this study was to examine classification accuracy for the expressive language skills of children with autism spectrum disorder (ASD) in terms of object play and imitation scores. A total of 61 children with ASD, who were 2.0-5.11 years old, were included in the study. In order to collect data play and imitation assessment tasks which…

The camp community understands that participation in camp produces a variety of impacts; what is less understood are the causal mechanisms leading to outcomes. In the past, research on the camp experience treated causal mechanisms as monolithic; this commentary argues that a weakness in existing camp research is the assumption that…

As children progress through the elementary grades, they are expected to begin to use attributes of shapes to name and classify them. When listening to children talk about shapes, it becomes clear that the process of learning to reason geometrically is complex. Recognizing the complex nature of students' geometric reasoning, the authors present in…