The Autism Mental Status exam (AMSE) has demonstrated excellent sensitivity and specificity in Western high-risk population with suspected autism spectrum disorder (ASD). This study aimed to evaluate the psychometric properties of the AMSE in a sample of high-risk Chinese children, and to determine the optimal cutoff score of the Chinese version…

Collaborative learning with peers can lead to students learning from each other and solving physics problems correctly not only in situations in which one student knows how to solve the problems but also when none of the students can solve the problems alone. We define the rate of construction as the percentage of groups collaborating on problem…

A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…

Background: PPE training is essential to prevent transmission of infections or autoinoculation of infections among healthcare providers and patients. Student nurses play a vital role in infection control practices to protect themselves and patients from transmittable infections. The purpose of this study was to evaluate an innovative teaching and…

This laboratory experiment was divided into four parts. In the first part, students evaluate previously published data and check their normality using histograms, Q-Q plots, the Shapiro-Wilk test, and boxplots. In the second part, two different groups were compared. First, data normality and homoskedasticity were checked by using the Shapiro-Wilk…

The purpose of this study was to examine the accuracy of function-based decisions made in consideration of scores from the Intervention Selection Profile (ISP)-Function, a tool founded upon direct behavior rating methodology. The ISP-Function is designed to be a brief measure, given the need for efficient and low resource assessments in schools.…

The purpose of this study was to examine the accuracy of function-based decisions made in consideration of scores from the Intervention Selection Profile--Function (ISP-Function), a tool founded upon direct behavior rating (DBR) methodology. The ISP-Function is designed to be a brief measure, given the need for efficient and low-resource…

Research on input processing and processing instruction has often employed a scoring method known as trials to criterion to observe the effects of instruction that emerge during training. Despite its common use in this research (see Fernández, 2021) this metric has never been evaluated critically. The present study first discusses several…

Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…

Natural Language Processing (NLP) has emerged as a transformative tool for EFL speaking instruction. However, prior research lacks robust empirical investigations into how distinct NLP tools independently enhance adaptability, accuracy, and fluency--particularly through controlled, large-scale interventions. Most studies focus on short-term…

The study tested how the Recency Preference and Predicate Proximity model (Gibson et al. in Cognition 59(1):23-59, 1996, https://doi.org/10.1016/0010-0277(88)90004-2) plays out by examining the attachment preferences of native Russian speakers when processing locally ambiguous participial relative clause sentences with three potential NP…

Corrective feedback (CF) has long been a hot topic in language education circles and has received extensive research attention. However, there is still controversy over the effectiveness of CF use and error correction in language classes. To address this discrepancy, the current study probed the effectiveness of different CF types in improving…

The use of large language models like ChatGPT is widely discussed for educational purposes. Using this technology requires teachers to have appropriate competences that incorporate knowledge of how to make use of this technology. In this study, we investigate pre-service teachers' knowledge through the lens of the KTMT model ("Knowledge for…

It has been reported for decades that preschool children (age 4-7) tend to assign non-adult-like interpretations for sentences with pre-subject exclusive only. This study reports findings from two experiments investigating (1) the effects of (in)congruent implicit questions in discourse contexts and (2) word order transformation on children's…

The rapid advancement of powerful Large Language Models (LLMs), such as ChatGPT and Llama, has revolutionized the world by bringing new creative possibilities and enhancing productivity. However, these advancements also pose significant challenges and risks, including the potential for misuse in the form of fake news, academic dishonesty,…