Using machine learning, this research aimed to examine the crucial factors that predict the reading performance of fourth-grade students from Türkiye who participated in PIRLS 2021. When trained with the data of 3589 fourth-grade students and their 405 independent variables, the support vector machine (SVM) algorithm properly distinguished between…

State University Systems look to increase success as part of accountability to stakeholders, while at the same time competing for a decreasing college age population and declining annual state appropriations. Research has been limited on State University Systems and the examination of the institutional characteristics and their ability to assist…

The primary purpose of the current study was to predict the likelihood of enrollment in Graduate School based on three independent variables: cost, time-to-completion, and return on investment. To achieve this purpose, a Z-test for the hypothesis of two proportions was utilized to create a predictive model. The model aimed to help institutional…

The present study measured factors that influence the representation of LGBTQ+ materials in New York State (NYS) school library collections. The existing body of literature has shown the importance of providing inclusive curricula for LGBTQ+ youth in schools to help decrease negative outcomes. This study surveyed school librarians to assess the…

Across the world, numerous students are being bullied at school. Bullying is often caused by a power imbalance between students. Therefore, identifying potential sources of such a power imbalance can prevent school bullying from happening. Based on the labelling theory, we expect that grade retention can lead to such a power imbalance and,…

This research aims to determine the factors affecting the job satisfaction levels of teachers. A binary logistic regression analysis was used for this purpose. The research sample consists of 322 teachers working in primary schools in Siirt city centre in the 2021-2022 academic year, selected using a simple random sampling method. According to the…

Student dropout represents a significant challenge in distance higher education. To better understand this issue, a comprehensive analysis of institutional data, spanning several years from a private German distance learning university of applied sciences, was conducted. The primary objectives were twofold: (1) to pinpoint institutional factors…

A stock inhaler program provided access to rescue medication (albuterol sulfate) for school children. School staff were provided with a standardized protocol for medication administration. We hypothesized licensed nurses were more likely to report compliant events compared to unlicensed school staff. Stock inhaler events were defined as either…

Despite lack of standardization, high school grade-point average (HSGPA) is frequently the best single predictor of first-year postsecondary GPA (FYGPA). This study evaluated the extent to which HSGPA reflected standardized test scores, social-emotional learning (SEL) competencies, demographics, and high-school characteristics. Dominance analysis…

Purpose: The main purpose of this study is to evaluate the extent of dropout students and identify the relationship between risk factors of dropout and the survival time of students. Design/methodology/approach: The Kaplan-Meier estimator (KM), also known as the product-limit technique, is a nonparametric model function that is commonly used in…

In this study, we examined demographic patterns of participation and persistence in high school elective music ensembles. We extend prior research that has only compared music and non-music students by explicitly modeling persistence across multiple years of ensemble enrollment. The research draws on data from the High School Longitudinal Study of…

Parents desire several features when choosing a school, but they often compromise on some preferences in favor of others. We develop a novel measure of aggregate preference compromise by examining the discrepancy between ideal preferences and those specified under real-world constraints. Relying on data from a representative sample in Kansas City,…

The aim of this study was to determine the relationship between dark leadership behaviors of school principals and organizational power distance perceptions of teachers. The study was designed using a survey model. The sample of the study consisted of 686 teachers selected by proportional cluster sampling technique. The Dark Leadership Scale and…

Accountability has pushed principals to use data to drive and inform decisions in schools to positively impact student achievement. Research has shown that principals are the second most important impact on student achievement, second only to teachers. Principals who can lead change in schools based on data driven response have a positive impact…

Teachers' organizational loyalty plays a critical role in the success of reforms in periods when educational reforms gain momentum. This study examined the effects of charismatic leadership, trust in leader, and teacher engagement on teachers' organizational loyalty based on data collected from 872 teachers in 77 public schools in Türkiye. We…