A sizeable literature investigating teacher test score value-added--the extent to which pupils make different rates of progress under different teachers--has emerged in the United States. While there is much interest in estimating teacher value-added in other countries such as England, progress has been limited by the lack of datasets linking…

Youth leadership development is crucial for empowering young people to thrive and contribute to society. Research on 4-H has demonstrated significant leadership growth among program participants, with effects persisting into emerging adulthood. However, little is known about what specific experiences shape 4-H youth's motivation to lead. This…

Minnesota has garnered national attention as the epicenter of significant policing problems, most notably following the tragic death of George Floyd in Minneapolis in May 2020. In the wake of this incident, cultural competency, characterized by an understanding and appreciation of cultural differences and the ability to interact effectively across…

Purpose: There is a lack of clarity about what constitutes Science, Technology, Engineering, Arts and Mathematics (STEAM) education and what the arts contribute. In this paper the authors discuss a distinct model, theorised from a five-year study of a particular, innovative STEAM education project ("The Imagineerium"), and developed by…

Background/Context: Children and adolescents worldwide are often exposed to community violence, including homicides, assaults, and gang-related activities. Such exposure can disrupt developmental processes, heightening stress responses that impair self-regulation, emotional stability, and cognitive function. Previous meta-analyses have documented…

Background: Recent debate surrounding school finance in the U.S. revolves around adequacy principles, defined as spending required to achieve the common goal of national average math and reading scores. Some experts argue that funding disadvantaged schools in many U.S. states is inadequate to meet the national common goals. For instance, analyzing…

The widespread adoption of generative AI is transforming academic writing in higher education, rendering traditional, product-focused assessment models obsolete. These methods fail to capture the iterative and tool-mediated nature of modern writing processes, creating an urgent need for new evaluation approaches. This paper addresses this gap by…

Adopting a blended learning approach that combines multiple methods (both online and offline) to teach cultural heritage following the rapid growth of the Internet plus is the trend of the times and the future direction of development. This study explores the role of institutional support in the effectiveness of blended learning approaches within…

Teachers with disabilities serve as role models for students who share their disability identity, offering lived experience as a valuable source of knowledge and representation. The misconceptions about the potential contributions a visual disability affords the field of education not only limit employment opportunities for individuals with visual…

This study moves beyond theoretical frameworks to empirically analyse artificial intelligence (AI) literacy among undergraduate students, identifying distinct performance profiles to inform educational interventions. Using a validated, performance-based instrument, we assessed the functional, technical and socio-critical competencies of 353…

This study explores the relationship between the identity development of a school principal and the concept of social justice leadership. We examine how one African American principal used equity-focused leadership in two different high schools to improve the conditions of all students. Erikson's view of identity and Cross's conception of…

This paper develops and estimates an empirical framework that evaluates the impact of charter school choice on education quality in the aggregate. We estimate the model using student-level data from North Carolina. We find that North Carolina's lifting of its statewide charter school cap raised the average public school's value-added by around…

We propose an innovative, effective, and data-agnostic method to train a deep-neural network model with an extremely small training dataset, called VELR (Voting-based Ensemble Learning with Rejection). In educational research and practice, providing valid labels for a sufficient amount of data to be used for supervised learning can be very costly…

Statistical knowledge is required for students in a range of disciplines. However, there are limited educator resources that exist for applying statistics to solve real-world problems. This investigation provides one approach to teaching statistics using entrepreneurial-minded learning (as a way to connect real-world applications and value…

Drawing upon the social network theory and social cognitive theory, this research proposes a model that assesses team performance from the mediating aspect of knowledge application, which represents a team's learning process whereby an effective retrieval mechanism enables the team to access knowledge. In the model, team performance relates to…