Artificial Intelligence (AI) is transforming healthcare and shows considerable promise for the delivery of medical education. This systematic review provides a comprehensive analysis of the global situation, effects, and challenges associated with applying AI at the different stages of medical education. This review followed the PRISMA guidelines,…

Mothers and fathers of children on the autism spectrum may differ in their perception of their interpersonal resources and risk factors. Fathers (114) and mothers (507) of children on the autism spectrum participated in the study. Fathers (vs. mothers) reported lower interpersonal resources (interpersonal emotion regulation and perceived support…

This study qualitatively explored the process of student environmental identity development (sEID) within the highly social and structured context of elementary school science. Social practice theory was used as the lens to distinguish the dimensions of sEID that were visible during a curriculum-based, in-school program focused on the issue of…

Unwanted pursuit behaviours (UPBs) are behaviours that are often intended to initiate a relationship or restore romantic relationships following a break-up. Research shows relatively high prevalence rates of UPBs in college students. In the current study, we tested a conceptual mediation model, where perceived parental warmth would be indirectly…

Objective: The current study sought to clarify and harness the incremental validity of emotional dysregulation and unawareness (EDU) in emerging adulthood, beyond ADHD symptoms and with respect to concurrent classification of impairment and co-occurring problems, using machine learning techniques. Method: Participants were 1,539 college students…

Mixed results have been reported on the correlation between clickers and performance. This study investigates the usage of clickers in a voluntary context to answer in-class questions in a General Chemistry class. Scores on an internal chemistry placement exam were used to estimate cognitive ability, as a factor that students can no longer…

Our goal was to systematically identify, appraise and synthesise the qualitative research on parents' experiences of the autism assessment process. The empirical studies were quality appraised using the Critical Appraisal Skills Programme tool. We synthesised the data using a meta-synthesis approach. Parents' experiences were categorised into four…

Problem Statement: The problem addressed in this study was the experience of Latinx women leaders from multiple Southern California state universities who cry, or have been close to crying, about work in front of colleagues or followers. Purpose: The purpose of this study was to understand the experience of Latinx women leaders, who held…

New teachers are often assigned an experienced teacher who will serve as a mentor that will work with them during the first year of their initial teaching certificate. Although this is a common practice among states, not much guidance exists of what this mentoring should include or what strategies are the most effective. This study was designed to…

According to empirical evidence, there are associations between resilience and stress, resilience and emotion regulation, and emotion regulation and stress. However, studies underlying the mechanisms between resilience and stress among teachers are sparse. This study examines the associations between these variables and investigates which emotion…

This study explored the relationship between K-8 teachers' current usage and engagement of curriculum and instructional practices, assessment practices, and feedback practices through the implementation of standards-based grading practices. The theoretical works of Bobbitt (1924), Bloom (1956), and Sadler (1989) framed this study. A digital survey…

Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

The investigation delves into examining the influence of 2-parameter logistic (PL) and 3-parameter logistic models on the ability estimates of students in mathematical binary items. It ascertained the parameters of the items in the 2-PL and 3-PL models. We employed Item Response Theory (IRT) in the design of this research survey, with a sample…

We conducted an extensive Monte Carlo study of factor-rotation local solutions (LS) in multidimensional, two-parameter logistic (M2PL) item response models. In this study, we simulated more than 19,200 data sets that were drawn from 96 model conditions and performed more than 7.6 million rotations to examine the influence of (a) slope parameter…