"How do witnesses make identification decisions when viewing a lineup?" Understanding the witness decision-making process is essential for researchers to develop methods that can reduce mistaken identifications and improve lineup practices. Yet, the inclusion of fillers has posed a pivotal challenge to this task because the traditional…

Large-scale data and data visualizations are ubiquitous now in the stories that shape our society. In particular, these stories influence youth and families' communication and understanding of scientific, social, and personal issues. Consequently, we need to better understand how youth and families can engage and learn with the tools that generate…

A deep understanding of pelvic floor anatomy requires a three-dimensional visualization of the spatial relationships among pelvic neurovasculature, soft tissue structures, and bony landmarks, which are highly complex and difficult to comprehend solely through traditional teaching methods such as didactic lectures and anatomical dissection. This…

The ability to extract structural information from a drawing of a molecule is key to being successful in organic chemistry. One source of difficulty for novices in interpreting structures is that hydrogens bound to carbon are represented implicitly in the often-used line-angle structures. Other representations that explicitly show hydrogens, such…

There is much interest in employing computer technology in design professions and education. However, few attempts have been made to apply immersive visualization technology to learn design details in landscape architecture. This study aims to illuminate how virtual reality (VR) technology helps students with design details in landscape…

The 3D stereoscopic technique consists in providing the illusional perception of depth of a given object using two different images mimicking how the right and left eyes capture the object. Both images are slightly different and when overlapped gives a three-dimensional (3D) experience. Considering the limitations for establishing surgical…

This study investigates inter- and intracoder reliability, proposing a new approach based on social network analysis (SNA) and exponential random graph models (ERGM). During a recent exit poll, the responses of voters to two open-ended questions were recorded. A coding experiment was conducted where a group of coders coded a sample of text…

This contribution deals with effect measures for covariates in ordinal data models to address the interpretation of the results on the extreme categories of the scales, evaluate possible response styles, and motivate collapsing of extreme categories. It provides a simpler interpretation of the influence of the covariates on the probability of the…

Biochemistry is an important professional course to undergraduates majoring in rehabilitation therapy in medical colleges and universities. To deepen students' understanding of the taught content, enhance their application ability and cultivate their high-level thinking ability, we investigated the effect of integration of the nine-grid thinking…

A strong understanding of molecular structure is key for mastering structure-function concepts in life sciences and is based on the visualization of biomolecules. Therefore, various approaches to help students translate between the 2D space of a textbook figure to the 3D space of a molecule have been developed. Object-based learning is an approach…

Heterogeneity is commonplace in meta-analysis. When heterogeneity is found, researchers often aim to identify predictors that account for at least part of such heterogeneity by using mixed-effects meta-regression models. Another potentially relevant goal is to focus on the amount of heterogeneity as a function of one or more predictors, but this…

Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…

Purpose: One challenge to the design and delivery of effective vocabulary intervention is the selection of vocabulary targets. The purpose of this study was to examine the relation of word characteristics to vocabulary learning from explicit vocabulary intervention. Method: This study was a secondary analysis of data from two recent efficacy…

Generative artificial intelligence (GenAI) models have led to many positive changes in educational settings; however, the validity of the content they produce remains a significant topic of academic discussion. This research aims to determine the validity of content produced by text-to-image models within the context of social studies education.…

Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…