Background: Aphasia therapy is an effective approach to improve language function in chronic aphasia. However, it remains unclear what prognostic factors facilitate therapy response at the individual level. Here, we utilized data from the POLAR (Predicting Outcomes of Language Rehabilitation in Aphasia) trial to (a) determine therapy-induced…

We studied ALEKS PPL placement scores, SAT scores, and entry-course grades for a population of 1659 students who placed into College Algebra or below over a span of 5 years. In addition to representing an understudied range of placement level, the study was conducted at an HBCU with majority Black/African American students, a demographic that is…

This qualitative biographical case study presents the case of 79-year-old Mrs. Blade and her attitude toward education and ICT (information and communication technology) use. A biographical-narrative interview with additional PCI questions was conducted. Material was analyzed using the approach of 'reconstruction of narrative identity'. The case…

Purpose: This paper aims to provide a parsimonious but rigorous model to assist decision-makers to determine critical factors which can lead to higher graduation rates amongst higher education institution (HEI) participants. It predicts the odds of dropout amongst university students, using HEI data from a developing country. This is used as a…

The 2019 coronavirus disease pandemic and distrust for popular media have highlighted the need for effective methods of direct communication of biomedical science to the public. It is presently unclear how well nonexperts can learn from primary scientific sources and what factors predict such learning in the general public. The present study…

Purpose: Using data from 1,868 children from the US, Australia, and Sweden who took a 10-word spelling test in kindergarten and a standardized spelling test in Grades 1, 2, and (except for the Australian children) Grade 4, we examined two questions. First, does the quality of a child's errors on the kindergarten test help predict later spelling…

In this longitudinal study, we investigate how demographic, cognitive and meta-cognitive variables affect students' success in chemistry and physics exams in two Science-Technology-Engineering-Mathematics undergraduate courses, biology and engineering. Independent variables include high school final examination performance, chemistry and physics…

Neural network models have recently made striking progress in natural language processing, but they are typically trained on orders of magnitude more language input than children receive. What can these neural networks, which are primarily distributional learners, learn from a naturalistic subset of a single child's experience? We examine this…

Creating high-quality programming is essential for fostering learning and development among youth. Outdoor adventure education programs have long been associated with the development of important transferable skills, such as leadership. This study used multi-level modeling to examine the association between six program quality…

This study aimed to examine whether Asian international students' mental health literacy predicts mental health help-seeking behaviors above and beyond known influencing factors. Hierarchical logistic regression was conducted in analyzing a national sample of 460 Asian international students who reported depressive symptomatology. Results…

The modeling of rates of biochemical reactions--fluxes--in metabolic networks is widely used for both basic biological research and biotechnological applications. A number of different modeling methods have been developed to estimate and predict fluxes, including kinetic and constraint-based (Metabolic Flux Analysis and flux balance analysis)…

Research Findings: This study aimed to explore the mediating role of social competence and the moderating role of teacher-child conflict in the relation between maternal overcontrol and Chinese preschooler's internalizing problems. Participants were 216 children aged 3-4 years, from two kindergartens in Shanghai, China. Mothers completed the…

Integrative data analysis (IDA) was used to derive developmental models of depression, externalizing problems, and self-regulatory processes in three prevention trials of the Family Check-Up and one longitudinal, community-based study of girls over a 10-year span covering early to late adolescence (N = 4,773; 74.9% female, 41.7% white). We used…

As vast amounts of data have become available in business in recent years, the demand for data scientists has been rising. The author of this article provides a tutorial on how one entry-level machine learning competition from Kaggle, an online community for data scientists, can be integrated into an undergraduate econometrics course as an…

The purpose of this study was to explore the experiences of student-facing staff in Jesuit higher education institutions in the United States. It was developed in response to the increasing turnover in higher education in the early 2020s and specifically examined the relationship between the job satisfaction and turnover intention of…