Computational and animal models suggest that the unlearning or pruning of incorrect meanings matters for word learning. However, it is currently unclear how such pruning occurs during word learning and to what extent it depends on supervised and unsupervised learning. In two experiments (N[subscript 1] = 40; N[subscript 2] = 42), adult…

Empathy research has long emphasized accuracy when imagining other minds. We explore whether empathy can be a creative process, where people think of multiple diverging possibilities of others' experiences. We developed two tasks to measure creative empathy. First, we adapted "forward flow" to measure the dynamic unfolding of creativity…

This study introduces an optimized ensemble deep neural network (Optimized Ensemble Deep-NN) to enhance the accuracy of predicting student grades. This model solves the problem of different and complicated student performance data by using deep neural networks, ensemble learning, and a number of optimization algorithms, such as Adam, SGD, and RMS…

Objective: Define microbiological characteristics of pathogens causing lower urinary tract infections (LUTI), frequency of "Chlamydia trachomatis" (CT) or "Neisseria gonorrhea" (GC), and accuracy of self-diagnosis by college women with LUTI symptoms. Participants: Sexually active women with LUTI symptoms attending a large…

Children acquire gender stereotypes at a young age and these subsequently influence cognition and behavior. Stereotypes may be learned through a child's direct observation of gender differences as well as perpetuated by inaccurate cultural depictions. Children's mass media, a cultural product, may be a powerful source of gender stereotype…

Large language models (LLMs) are now widely accessible, reaching learners across all educational levels. This development has raised concerns that their use may circumvent essential learning processes and compromise the integrity of established assessment formats. In physics education, where problem solving plays a central role in both instruction…

Research and policy reports estimate that 10%-40% of U.S. children and adolescents currently have or very recently have had at least one significant mental health condition. Students who exhibit substantial behavior and emotional problems in school often show less severe problems when younger. Screening for less severe problems at younger ages can…

This study undertakes a dual exploration, examining the effects of individual differences on self-assessment accuracy, and students' perspectives on the reasons for their inaccuracies. A total of 112 psychology students self-scored an essay, then received the instructor's score and were interviewed. Results revealed: (1) a weak positive…

Limiting the search date is a common approach utilised in therapeutic/interventional rapid reviews. Yet the accuracy of pooled estimates is unknown when applied to rapid reviews of diagnostic test accuracy studies. Data from all systematic reviews of diagnostic test accuracy studies published in the Cochrane Database of Systematic Reviews, until…

Monitoring the fidelity with which implementers implement behavioral procedures is important, but individuals tasked with monitoring fidelity may have received little training. As a result, their data may be affected by variations in implementers' performance, such as the frequency of fidelity errors. To determine the extent to which the frequency…

One limitation of the naturalistic observation method is that it is understudied how accurately personal relationships may be judged by observers in real-life settings. To assess this judgment accuracy, we observed 285 dyads of individuals in public places and then asked whether they were affiliated or strangers. We found that human observers were…

When selecting fillers to include in a police lineup, one must consider the level of similarity between the suspect and potential fillers. In order to reduce misidentifications, an innocent suspect should not stand out. Therefore, it is important that the fillers share some degree of similarity. Importantly, increasing suspect-filler similarity…

As an excellent means of improving students' effective learning, knowledge tracking can assess the level of knowledge mastery and discover latent learning patterns based on students' historical learning evaluation of related questions. The advantage of knowledge tracking is that it can better organize and adjust students' learning plans, provide…

Sustainable Development Goals (SDG) 4.7 aims to ensure learners acquire the knowledge and skills for promoting sustainable development by 2030. Yet, Open Educational Resources (OERs) that connect the public with SDGs are currently limitedly assigned and insufficient to promote SDG and sustainability education to support the achievement of SDG 4.7…

Bayesian estimations of complex regression models with high-dimensional parameter spaces require advanced priors, capable of addressing both sparsity and multicollinearity in the data. The Dirichlet-horseshoe, a new prior distribution that combines and expands on the concepts of the regularized horseshoe and the Dirichlet-Laplace priors, is a…