We propose a novel approach for modeling judgment accuracy that, for the first time, allows for simultaneously considering the rank, level, and differentiation component, the predominantly applied operationalization of teacher judgment accuracy. These components are conceptualized as latent, unobserved individual abilities. The model is introduced…

Contextual shifts are crucial for episodic memory, setting event boundaries during event segmentation. While lab research provides insights, it often lacks the complexity of real-world experiences. We addressed this gap by examining perceptual and conceptual boundaries using virtual reality (VR). Participants acted as salespeople, interacting with…

Popular item response theory (IRT) models are considered complex, mainly due to the inclusion of a random factor variable (latent variable). The random factor variable represents the incidental parameter problem since the number of parameters increases when including data of new persons. Therefore, IRT models require a specific estimation method…

Large language models (LLMs), through their exposure to massive collections of online text, learn to reproduce the perspectives and linguistic styles of diverse social and cultural groups. This capability suggests a powerful social scientific application--the simulation of empirically realistic, culturally situated human subjects. Synthesizing…

Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such as pilot studies or when populations are inherently small, increasing samples sizes is not feasible. As a remedy, we propose a two-stage regularized…

A 2016 field study conducted in collaboration with the Houston Police Department reported that simultaneous lineups were diagnostically superior to sequential lineups, that confidence was strongly predictive of accuracy, and that high-confidence suspect identifications were highly reliable. The study also estimated that most lineups (65%)…

Background/purpose: This study aimed to reveal the accuracy of estimation of multiple-choice test items parameters following the models of the item-response theory in measurement. Materials/methods: The researchers depended on the measurement accuracy indicators, which express the absolute difference between the estimated and actual values of the…

Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…

Despite the availability and potential usefulness of demographic and contextual data in many quantitative studies within engineering education, the preference for ANOVA over regression models remains prevalent, often without clear justification. A mapping review of literature from the EJEE and JEE spanning 2012-2022 identified 98 studies using…

Assignments and tests are the main forms of evaluation in the educational process, students usually lose interest in boring exercises during course learning. In spired of elements from human-computer battle game, a course test system is designed to encourage students to take tests more frequently and actively to achieve better learning effect,…

As automation becomes increasingly integrated into complex military tasks, its role in supporting human performance under fatigue warrants careful evaluation. A specific military use case in which automatic target cuing (ATC) is integrated is undersea threat detection (UTD). These types of tasks demand sustained vigilance, accurate classification,…

Background/purpose: The incorporation of generative artificial intelligence (AI) into higher education is transforming competency-based learning by enabling adaptive, interactive, and immersive environments. This study aimed to design and evaluate an innovation mechanism that integrates AI agents with 3D interfaces, focusing not only on technical…

Preparing mandatory reporters--those responsible for identifying and reporting abuse and neglect--requires innovative approaches. One effective method is the continuous case study. This article discusses the creation and implementation of culturally relevant continuous case studies within a multidisciplinary child and adult advocacy certificate…

This study investigated the effectiveness of a Virtual Reality (VR) intervention with integrated Electroencephalography (EEG) biofeedback (VR-EEG) in enhancing English as a Foreign Language (EFL) learner proficiency compared to a traditional classroom setting. Learners (N = 60) were randomly assigned to either the VR-EEG group or the traditional…