Machine learning-based automatic scoring faces challenges with imbalanced student responses across scoring categories. To address this, we introduce a novel text data augmentation framework that leverages GPT-4, a generative large language model specifically tailored for imbalanced datasets in automatic scoring. Our experimental dataset consisted…

Online calibration estimates new item parameters alongside previously calibrated items, supporting efficient item replenishment. However, most existing online calibration procedures for Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) lack mechanisms to ensure content balance during live testing. This limitation can lead to uneven…

The "Test Adaptation Reporting Standards" (TARES), or "TARES statement" was developed to alleviate the problems arising from inadequate reporting of test adaptation procedures. The TARES contains a short preamble and a checklist, that comprises an evidence-based minimum set of information for reporting in test adaptations. The…

The higher the level of development of higher education, the larger its contribution to socioeconomic development. In order to predict the trend of higher education development in a country more accurately, a new methodology is employed in this study. A weakening buffer operator-based GM (1, 1) model is constructed using Kazakhstan's gross…

Purpose: Differences in social cognition between autistic and non-autistic people may put autistic people at greater risk of being deceived. To inform communication interventions related to deception, the purposes of this mixed-methods study were to examine the deception detection strategies used by young adults with varying levels of autistic…

To explore the dynamics of processing in manuscript production, it is necessary to possess a system for recording the writer's graphic activity. This work describes the new version of the Eye and Pen program (version 3.01). In addition to the fact that it is now freely available (https://www.eyeandpen.net), the improvements described focus on its…

A random-effects model is often applied in meta-analysis when considerable heterogeneity among studies is observed due to the differences in patient characteristics, timeframe, treatment regimens, and other study characteristics. Since 2014, the journals "Research Synthesis Methods" and the "Annals of Internal Medicine" have…

Predicting student performance using educational data is a significant area of machine learning research. However, class imbalance in datasets and the challenge of developing interpretable models can hinder accuracy. This study compares different variations of the Synthetic Minority Oversampling Technique (SMOTE) combined with classification…

Carefully chosen picturebooks offer a developmentally appropriate medium for helping children understand even the most complex challenges. However, it may be difficult for teachers to find high-quality children's books for explaining multifaceted topics such as climate change. This study explores the contents of a set of picturebooks about climate…

We investigated three different approaches for quantifying individual change and reporting it back to persons: (a) the common change score, which is obtained by first computing scale scores from two consecutive measurements and then subtract these scores from one another, (b) the ad-hoc approach, which is similar to the former approach but uses…

In sparse data meta-analyses (with few trials or zero events), conventional methods may distort results. Although better-performing one-stage methods have become available in recent years, their implementation remains limited in practice. This study examines the impact of using conventional methods compared to one-stage models by re-analysing…

Studying texts constitutes a significant part of student learning in health professions education. Key to learning from text is the ability to effectively monitor one's own cognitive performance and take appropriate regulatory steps for improvement. Inferential cues generated during a learning experience typically guide this monitoring process. It…

Imitation and emulation are both important response modalities when learning new tasks. The current study tested the effects of establishing generalized imitation (GI) across missing topographies (gross motor, fine motor, multiple-step motor) on number of sessions-to-criterion for four preschoolers with developmental delays who were learning novel…

This study examined the relationship between the accuracy of parental reporting of children's sleep duration compared to objectively measured child sleep and tested whether any discrepancies were related to childhood obesity prevalence in a sample of Latinx families (N = 119). A paired sample t-test revealed that parents significantly…

Scientific observation is a disciplinary-informed way of looking at the world that requires the coordination of domain knowledge and perceptual skills with specialized tools and techniques to systematically identify objects, organisms, specimens, or phenomena of interest. Identification is a particular form of skilled observational practice where…