In the study, the Principal-Teacher Relationship Scale, created originally by Zee, Roorda, and Hanna (2023), was subjected to an adaptation study for Turkish culture. In line with this aim, data for the study were gathered from 389 teachers working in primary and secondary schools located in the districts of Konya, Turkey. The Principal-Teacher…

The increasing volume of large-scale assessment data poses a challenge for testing organizations to manage data and conduct psychometric analysis efficiently. Traditional psychometric software presents barriers, such as a lack of functionality for managing data and conducting various standard psychometric analyses efficiently. These challenges…

Chemistry is increasingly data centric and the undergraduate curriculum needs to adjust to keep up. To address this, we created the "Air Quality Activity," a new first-year undergraduate activity where students use Microsoft Excel to analyze a unique subset of atmospheric ozone (O[subscript 3]) and nitrogen dioxide (NO[subscript 2])…

This paper describes a neural network model that can be used to detect at- risk students failing a particular course using only grade book data from a learning management system. By analyzing data extracted from the learning management system at the end of week 5, the model can predict with an accuracy of 88% whether the student will pass or fail…

When a school district in North Dakota began having hard conversations about its struggling status, a simple, yet crucial, contributor to academic success became abundantly clear: student attendance. That conversation laid the groundwork for a districtwide project, enacted in partnership with the Region 11 Comprehensive Center (R11CC), North…

The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…

We investigated the development of students' sociopolitical consciousness via engagement in a mathematical activity purposefully designed around understanding the unemployment rate in the US. Qualitative data was collected from 12 university seniors participating in an online capstone class. Results showed that students: (1) further developed…

This paper investigates the core curricula of Information Systems (IS) master's programs. It examines all 532 AACSB-accredited business schools in the United States and identifies 74 IS master's programs. MSIS 2016 and other curricular models and studies are used in a research framework to survey core courses. The top three required courses are…

Recognizing the crisis the COVID-19 pandemic represents to the Home- and Community-Based Services (HCBS) service system and the health, safety, and quality of life of people with intellectual and developmental disabilities (IDD), states temporarily amended their HCBS programs to strengthen service delivery. States are able to temporarily amend…

We report here a successful adaptation of lab videos used during remote instruction to a kinetics experiment reported in this Journal in 2007. In the in-person lab, students now record their rate data on their cell phone cameras and then collect their data from the videos for their postlab reports; previously, they acquired the data in real time…

The collection of student data through screening and progress monitoring of social and emotional learning (SEL) skills is just as important as the implementation of curriculum and practices. Monitoring skill acquisition allows teachers to identify effective practices, provide intervention, and intensify support for students who need it. In this…

The Occupation-Centered Intervention Assessment (OCIA) was developed as a reflective tool for students to improve their comprehension of occupation-centered practice. Finding new and innovative ways to incorporate occupation-centered assignments can serve as a strategy to develop student integration of occupation-centered practice and allow…

Randomized experiments involving education interventions are typically implemented as cluster randomized trials, with schools serving as clusters. To design such a study, it is critical to understand the degree to which learning outcomes vary between versus within clusters (schools), specifically the intraclass correlation coefficient. It is also…

Outcomes-Based Contracting (OBC) ties vendor payments to performance metrics, aiming to enhance accountability in public education. This study examines its implementation in tutoring services through the Southern Education Foundation pilot program. Interviews with district leaders and vendors reveal that OBC fosters collaboration, improves service…

The need to integrate digital literacy into curricula as a fundamental skill set for navigating the complexities of the digital age has increased. This study aims to explore how knowledge and skills of digital literacy present in language arts standards and what elements of digital literacy are emphasized. To achieve this, we used text mining…