Given the growing movement in support of blurring the divisions between language and literature teaching, it has become increasingly vital to understand what language teachers think of literature as a language resource, the approaches they employ when teaching with it, the extent to which they can appreciate, understand, analyse, and interpret…

Teacher retention is a foundational issue and schools have historically struggled to retain teachers. Previous research indicates that teachers leave the profession at high rates before year five of teaching expertise. Lack of teacher retention contributes to instability and lack of trust in school districts. This secondary data study explores…

Math anxiety impacts negatively on the individual's ability to enjoy mathematics, their perception of their own ability in relation to mathematics and results in avoidance of mathematics activities. Self-efficacy, motivation, engagement and attainment are negatively impacted by math anxiety. This study aims to explore the literature to identify if…

Objective: Low emotional intelligence and symptoms of disordered eating are connected, however, whether daily fluctuations in emotional intelligence predict daily changes in disordered eating symptoms has not been examined, nor has stress been explored as a potential moderator of this relationship. Participants: Participants were undergraduate…

Monitoring students' academic progress is vital for ensuring timely completion of their studies and supporting at-risk students. Educational Data Mining (EDM) utilizes machine learning and feature selection to gain insights into student performance. However, many feature selection algorithms lack performance forecasting systems, limiting their…

Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…

This investigation examines the efficacy of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) over fixed-effects models when performing intersectional studies. The research questions are as follows: (1) What are typical strata representation rates and outcomes on physics research-based assessments? (2) To what…

Despite the widespread use and effectiveness of the Modern Language Aptitude Test (MLAT) composite score in predicting individual differences in L2 achievement and proficiency, there has been little examination of MLAT subtests, although they have potential for illuminating components of L2 aptitude and the mechanism of prediction. Here we use…

Educational science has consistently examined what drives adolescents to aspire to occupations in math-related fields -- and which factors, such as gender stereotypes, may drive them away. In this study, we utilized a large longitudinal data set (N = 1,092) to test whether past grades, gender, and the math level of mothers' and fathers'…

As the number of traditional-aged college students has declined, competition has risen. Admission counselors, who are responsible for recruiting entering students, bear the brunt of this challenge. Nowhere is recruitment more important than at tuition dependent institutions, where revenue from student charges is the financial lifeblood. These…

Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

The purpose of this quantitative correlational predictive study aimed to assess to what extent the number of actual study table hours predicted change of Grade Point Average (GPA) for at-risk student-athletes participating in revenue and non-revenue sports. Data was collected from 108 participants total, fifty-three participants in…

Game-based learning environments hold significant promise for facilitating learning experiences that are both effective and engaging. To support individualised learning and support proactive scaffolding when students are struggling, game-based learning environments should be able to accurately predict student knowledge at early points in students'…

The ability to infer intentions from observed behavior and predict actions based on this inference, known as intention attribution (IA), has been hypothesized to be impaired in individuals with autism spectrum disorder (ASD). The underlying neural processes, however, have not been conclusively determined. The aim of this study was to examine the…

During the early years of formal education, young students develop a number of formative academic, motor, behavioral, and socioemotional skills that lay the foundation for future learning. Since student mental health in the early grades predicts academic achievement in later grades, mental health interventions are essential at the primary school…