Predicting students' performance in advance could help assist the learning process; if "at-risk" students can be identified early on, educators can provide them with the necessary educational support. Despite this potential advantage, the technology for predicting students' performance has not been widely used in education due to…

Fair distribution of educational opportunities among people means that individuals' access to education doesn't depend on conditions beyond their control such as social class, religion, gender, place of birth or other parental characteristics. This paper addresses the issue of inequality of educational opportunities for pre-university education in…

This study examined the mobility trends of African American public-school teachers. Guided by the integration of critical race theory and organization theory, this study used longitudinal data from the National Center for Education Statistics to explore how race and organizational climate predict African American teacher mobility. Using a…

In this literature review, I explore poverty, the barriers to participation that exist for students in poverty, and why this issue should matter to music educators. Research findings about students and poverty generally fall into three categories: logistics, teacher attitudes, and policy. I identify participation barriers in each of these…

Absenteeism is of great concern for K-12 school students in the United States. The aim of this study is to evaluate effects of parental participation types in absenteeism of Elementary and Secondary Education (K-12) students in the United States. We analyze the data of the U.S. Department of Education (Hanson et al., 2019), in relation to…

This article is based on qualitative and quantitative data collected from teachers and pupils in Danish schools in June 2020, as schools reopened following closures in the spring due to the COVID-19 pandemic. It investigates the transformations in school life that took place in this period in response to strict official guidelines to prevent the…

We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…

As algorithmic decision making is increasingly deployed in every walk of life, many researchers have raised concerns about fairness-related bias from such algorithms. But there is little research on harnessing psychometric methods to uncover potential discriminatory bias inside decision-making algorithms. The main goal of this article is to…

Purpose: School choice policies are expected to generate competition leading to improvement in school practices. However, little is known about how competition operates in public education--particularly in charter schools. This paper examines charter-school leaders' competitive perception formation and the actions taken in response to competition.…

This study aims to examine the co-existing patterns of teachers' satisfaction with personal lives and online teaching, and the factors of these patterns during the pandemic. Self-report questionnaire was administered to 751 primary and secondary school teachers in China during the pandemic. Latent profile analysis and multiple logistic regression…

This study sought to predict U.S. public-school principals' risk of turnover using nationally representative data. After screening several personal and school characteristics that might predict the likelihood of principals leaving their jobs, a logistic regression analysis was employed using 15 significant predictors out of 37 variables identified…

According to Statistics Canada, during this decade (2019-2028) about 75% of new jobs will require a post-secondary education (Government of Canada, 2017). This study explores a unique dataset that follows students (n = 11,417) from a large urban school district to a local university in Southern Ontario. Using both descriptive statistics and a…

This mixed methods study investigates novice teacher and coach survey responses from a two-year induction programme to learn more about what makes a good match. We qualitatively analyse comments from all novice teachers and coaches who were paired across years and find shared themes of structural, professional, and personality similarities as well…

In this article, we analyze educators' self-reported reasons for not addressing 2SLGBTQ+ topics in their schools in order to develop a clearer picture of the barriers that prevent educators from engaging in 2SLGBTQ+-supportive practices. Using hierarchical OLS (ordinary least squares) and logistic regression models to analyze the impacts of…

Although inclusive education policies conflict with punitive discipline measures, inclusion in mainstream schools may coexist with or allow such exclusionary punitive discipline. In Latin America, however, there is scarce research on how punitive measures are distributed, and if and how they affect students with disabilities enrolled in regular…