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…

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…

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…

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…

The aim of the study is to analyze how classification performances change in accordance with sample size in logistic regression and CHAID analyses. The dataset used in this study was obtained by means of "Attentional Control Scale." The scale was applied to 1824 students and the analyses were done by randomly choosing the samples from…

In this paper is proposed a straightforward model selection approach that indicates the most suitable count regression model based on relevant data characteristics. The proposed selection approach includes four of the most popular count regression models (i.e. Poisson, negative binomial, and respective zero-inflated frameworks). Moreover, it…

In this paper, a simple and multiple linear regression model has been developed to analyze and compare math test results of two student groups in the medical high school "Rezonanca", more precisely the students of the two tenth grades in the subject of mathematics of classes X- 3 and X - 7. This paper also presents some exam exercises,…

Background: We assessed whether self-descriptions, self-perceptions, perceived substance use of friends, and actual substance use were associated with high school girls' frequency of making social comparisons to peers. Methods: We analyzed data from the Adolescent Health Risk Behavior Survey data for 357 high school girls using multinomial…

Recently Burkholder "et al." argued that class normalized gains over the entire population of courses is approximated by a Cauchy distribution, not by a normal distribution, and therefore should not be used to compare different classes because means and standard deviations cannot be calculated. They argued that multiple linear regression…

This study explored the transition from secondary to postsecondary education among a national sample of students who had or had not studied music in high school. Using evidence from the High School Longitudinal Study of 2009, a nationally representative longitudinal study of 21,440 American high school students who were ninth graders in the…

Using a multinomial regression and a nationally representative sample of school counselors, we examined the factors influencing the percentage of time school counselors spend on career planning. Findings indicate that the school locale, school type, percentage of non-White students, and the number of full-time counselors were significant…

This research aims to explore the relations between social justice leadership, sense of school belonging, and student resilience. The research was conducted with 549 high school students. The data was collected through the social justice leadership scale, the psychological sense of school membership scale, and student resilience scale. The…

The challenge of a long and difficult commute to school each day is likely to wear on students, leading some to change schools. We used administrative data from approximately 3,900 students in the Baltimore City Public School System in 2014-2015 to estimate the relationship between travel time on public transportation and school transfer during…