We use Eurobarometer data to examine barriers to international student mobility. Multivariate analysis is employed to study how individual characteristics are related to the obstacles preventing higher education students from participating in activities in another EU country. The results suggest that several demographic factors including area of…

Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…

Few studies holistically examine how students experience the multiple dimensions of school climate and resilience promoting characteristics, or how these two constructs may be interrelated. This study utilised a sample of 78,550 7th, 9th, and 11th grade students in California. Roughly half of the participants were female (52%), and roughly half…

The aim of this work is to provide data-driven insights regarding the factors behind dropouts in Higher Education and their impact over time. To this end, we analyzed students' data collected by a Higher Education Institute over the last 11 years and we explored how socio-economic and academic changes may have impacted student dropouts and how…

Building on the existing body of literature on academic motivation, this research examines various factors associated with the academic motivation of students living in refugee camps in Kenya. I employ self-determination theory and a sense-of-belonging construct to explore the academic motivation of these students who, despite the overwhelming…

Over the past decade, but especially in the past few years, programs with a "promise" label have been advanced at the local, state, and federal levels. To advance understanding of the design, implementation, and impact of the many different versions of emerging programs, policymakers, practitioners, and researchers need an organizing…

The purpose of this study is to examine the characteristics of US schools associated with two measures of scientific literacy (content knowledge and "procedural and epistemic" knowledge) using the 2015 Programme for International Student Assessment (PISA) data. Because outcomes are nested within students, and students within schools, a…

Researchers have demonstrated the influence of the perceived efficacy of a conduct system on student learning (King, 2012; Stimpson & Janosik, 2015). Multivariate Analysis of Variance (MANOVA) was used to test the relationship between perceived level of conduct system efficacy, institutional culture, and self-reported student learning. More…

Student loans have become a social-financial issue in the United States. This study uses a nationally representative dataset to examine the association between financial socialization and student loan borrowing behavior of individuals after controlling a number of different socio-demographic factors. Results show that the financial burdens of…

Group research projects frequently are used to teach undergraduate research methods. This study uses multivariate analyses to examine the characteristics of higher-achieving groups (those that earn higher grades on group research projects) and to estimate the effects of participating in higher-achieving groups on subsequent individual learning…

Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…

Students' trajectories into university are often uniquely dependent on school qualifications though these alone are limited as predictors of academic potential. This study endorses this, examining associations between school grades, school type, school performance, socio-economic deprivation, neighbourhood participation, sex and academic…

Background: Poor sleep among college students is a major, growing problem associated with lower academic performance, higher rates of health and emotional problems, and development of chronic sleep disorders. Purpose: Though previous studies have focused on individual colleges, our study purpose was to reveal the association of behaviors and…

The study was performed in St. Petersburg in 2015 and comprised 34 children with diagnosed Down's syndrome (DS) aged 9-15 (mean 11) years (17 boys, 17 girls) who attended special schools. Control group was made up of 34 clinically healthy normal intelligence schoolchildren matched for age, sex and geographical distribution. The mothers were…

This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…