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…

Social and emotional (SE) skills are known to be linked with many important life outcomes, including academic performance, performance on standardized college entrance exams, and college enrollment. In this technical brief, the authors evaluated whether the five SE skills measured with the Mosaic™ by ACT® predict postsecondary enrollment and…

Errors are natural elements of the learning process and provide a high potential to promote students' learning outcomes. In recent years, there has been much research about learning from errors. However, we know little about the relationship between students' error beliefs in chemistry and chemistry learning outcomes at present. Thus, the aim of…

This study was inspired by the Indian movie 'Three idiots' and purposed to investigate the reasons behind the high rate of engineering degree programmes dropouts in India. Accordingly, factors related to academic, demographic, economic, family, future, institutional, personal, and social were derived and examined on their impacts on student…

Teacher-level factors are theoretically linked to student outcomes in data-based instruction (DBI; Lembke et al., 2018). Professional development and ongoing support can increase teachers' knowledge, skills, and beliefs related to DBI, as well as their instructional fidelity (McMaster et al., 2020). However, less is known about how each of these…

Our study proposes the use of a free classification task for investigating the dimensions used by listeners in their perception of nonnative sounds and for predicting the perceptual discriminability of nonnative contrasts. In a free classification task, participants freely group auditory stimuli based on their perceived similarity. The results can…

This quantitative, multiple regression analysis examined the rate of engagement in antiracist practices, as well as the predictors of antiracist actions school counselors report taking to address racism and bias in schools. A national survey data set of 8,266 school counselor respondents was examined. After data cleaning, a total of 5,007 school…