ChatGPT has emerged as a popular choice in education that has transformed the experience for both teachers and students. This study investigates the performance of ChatGPT in aiding learning in the biochemistry classroom in two ways. We sought to determine how effective ChatGPT 3.5 was in generating study materials for an introductory biochemistry…

This brief focuses on the school year 2024-2025 implementation of "My Reading Academy" across 17 voluntary pre-kindergarten (VPK) sites in the Early Learning Coalition of Brevard County. It highlights the effects of the programs on students' development of early reading skills as well as educators' capacity to support their students'…

In assessment contexts, the domain definition inference requires accurate documentation of linguistic demands in a specific target domain for precise measurement. The present study examines several aspects of repetitions in academic lecture settings to offer the domain definition inference for academic listening tests. To do this, I analyzed the…

This study explores how private tutoring relates to students' transitions to demanding post-compulsory schools and their success there, considering their competencies after tutoring but before the transition. Analyzing PISA and linked register data from Switzerland, we find that students who received private tutoring before the transition are more…

Reflexivity in quantitative research is central to questioning the ways in which the data is designed, collected and interpreted. It requires the researcher to be reflexive about their knowledge, their positionality, and the bias they may bring at each stage of the research. Unfortunately, though, limited evidence exists on the use of reflexive…

Background: Breast cancer is as frequent in women with intellectual disabilities as the general population, but the mammography uptake rate for women with intellectual disabilities is almost a third lower. This meta-synthesis aimed to explore physical and psychosocial barriers to mammography access for women with intellectual disabilities from the…

Artificial intelligence (AI) tools like ChatGPT offer new opportunities to enhance student learning through active recall and self-directed inquiry. This study aimed to determine student perceptions of a classroom assignment designed to develop proficiency in using ChatGPT for these strategies. First-semester Doctor of Pharmacy students in a…

Student responses on the PISA 2022 creative thinking test are a rich source of data. The CT Rescoring Project applied new scoring methods to PISA 2022 creative thinking data in 14 countries and economies to identify the most creative responses in the sample and shed new light on key questions about creativity and creative thinking. This report…

Self-report surveys are widely used in applied linguistics. Nevertheless, insufficient effort responding--often stemming from a lack of motivation from participants--can compromise survey data quality and distort research findings. This study investigated insufficient effort responding through an online survey assessing second language (L2)…

Purpose: This paper aims to introduce a novel AI learning progression for upper-elementary students and aligns assessment items across levels of each construct to gather evidence of understanding. It also validates this quantitative measure by examining these items as two subscales for psychometric properties using the Rasch model.…

This study concludes that traditional logistic regression models, particularly those using ACT Composite scores, tend to demonstrate better fairness metrics across subgroups compared to a fairness-aware machine learning gradient-boosted machine model. The exclusion of race/ethnicity from predictive models does not introduce notable bias and may…

Given the high prevalence of sleep problems in children with autism spectrum disorder (ASD), there is a critical need to examine how sleep problems may be exacerbated for children exposed to social and environmental adversity. Guided by the socio-ecological model, this review aimed to evaluate factors linked to sleep health disparities (SHDs) in…

The integration of artificial intelligence (AI) into nursing education is essential for equipping future nurses with the skills required to navigate an increasingly technology-driven healthcare environment. This study aimed to validate the Arabic version of the Unified Theory of Acceptance and Use of Technology (UTAUT-2012) model in assessing…

Point-of-care ultrasound (POCUS) is an important skill for healthcare professionals. However, adding POCUS training to medical education can be difficult because ultrasound simulators can be expensive. This study assessed whether an interactive, PowerPoint-based computer tool could be a valid alternative to an entry-level ultrasound simulator for…

Many scholars have traditionally examined features linked to students' science performance by using classical statistical methods. However, there is a dearth of research on predicting student achievements by using machine learning (ML) models in science education. We aim to address this gap using the 2006 and 2015 Program for International Student…