Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…

Purpose: The purpose of this study is to evaluate student visual literacy skills using the newly designed visual literacy framework and visual literacy (VL) scale. Design/Methodology/Approach: It includes a newly designed framework, a self-reporting questionnaire and a scale to evaluate an individual's VL skills and overall competency. The…

Multivariate count data is ubiquitous in many areas of research including the physical, biological, and social sciences. These data are traditionally modeled with the Dirichlet Multinomial distribution (DM). A new, more flexible Dirichlet-Tree Multinomial (DTM) model is gaining in popularity. Here, we consider Bayesian DTM regression models. Our…

This study explores how blended classroom teaching (the integration of online courses with face-to-face instructions) equalizes educational outcomes across regions. We point out that besides the medium function, ICT can also transmit educational resources across regions, and the resource transmission function facilitates the equalization of…

Many generalization studies in education are typically based on a sample of 30-70 schools while the inference population is at least twenty times larger. This small sample to population size ratio limits the precision of design-based estimators of the population average treatment effect. Prior work has shown the potential of small area estimation…

The twenty-first century requires Vocational High School (VHS) graduates to have high-order thinking skills (HOTS). Although HOTS-based learning in VHS has been implemented in Indonesia, the graduates are less creative in complex work. Also, teachers have insufficient knowledge about this learning design. Therefore, the purpose of this study was…

The following study shows how reparameterizations and constraints of the general linear model can serve to parse quantitative and qualitative aspects of predictors. We demonstrate three different approaches. The study uses data from the High School Longitudinal Study of 2009 on mathematics course-taking and achievement as an example. Results show…

At present, even if the education on hard-working spirit has been emphasized increasingly as an important part of practical education in China's education policy, the reality is still far from satisfactory, because many parents do not provide their children with sufficient opportunities to do housework. Previous studies have indicated that the…

Pedigree problems are typical tasks in school genetics classes. However, they are perceived as difficult and often are not successfully completed. Therefore, the purpose of this study is to determine relevant factors that might have an impact on success in pedigree analysis. Based on previous research, we investigate the influence of the…

Over the past three decades, children from low-income families have increasingly been attending different public schools than those from more affluent families. Though recent work has helped us understand patterns of income segregation between districts and schools within districts, we know little about segregation of students as they experience…

Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…

Background/Context: Observational studies often employ regression discontinuity (RD) designs and multiple control-group designs to explore the causal quantities of interest. RD designs assess policy and program effectiveness by assigning subjects to treatment based on whether they exceed a pre-defined cutoff. RD designs are classified into two…

This study aimed at identifying and describing patterns of sports participation during high school among a general population of students and examining individual, social, and environmental predictors of pattern membership. A sample of 287 high school students (61% girls) from Quebec (Canada) annually reported all the organized sports in which…

Past decades have seen an increase in focus on college and career readiness (CCR) policy and programming to meet the growing demand for a high-skill, global, 21st-century workforce. Recent research indicates many adolescents aspire to succeed in various postsecondary paths, but a persistent gap between aspirations and attainment remains. This is…

With an educational issue that has caught the attention of many countries in the world (study load), a population of 8th graders from a typical Chinese metropolitan city (40,536 from 118 schools), and an advanced statistical strategy (multilevel piecewise regression), we examined whether there was a turning point in terms of the effects of study…