Industrial-scale models require considerable setup time; hence, once built, they are used in myriad ways to consider closely related cases. In practice, the code for these models frequently evolves without appropriate notational choices, largely as a result of the lengthy development time of, and the number of individuals contributing to, their…

Since 2018, institutions of higher education have been aware of the "enrollment cliff" which refers to expected declines in future enrollment. This paper attempts to describe how prepared institutions in Ohio are for this future by looking at trends leading up to the anticipated decline. Using IPEDS data from 2012-2022, we analyze trends…

Since 2001, the National Institutes of Health (NIH) have funded the Institutional Development Award (IDeA) Network of Biomedical Research Excellence (INBRE) to expand biomedical research capacity among states in which NIH funding was historically low. The Western IDeA Region comprises seven states: Alaska, Hawaii, Idaho, Montana, New Mexico,…

Confirmatory factor analysis (CFA) is a commonly used statistical technique. Recommendations for evaluating CFA highlight scholars should outline the expected model, conduct data screening, report model estimation and evaluation, and report key information about results to provide evidence for latent variables. The purpose of the current study was…

There is currently limited evidence regarding teachers' perspectives of push-in and pull-out occupational therapy services in the school-based setting. Occupational therapy services can be delivered in different combinations and often vary based on the needs of the student, needs of the teacher and classroom, need for academic time, and need for…

Given the rapid adoption of machine learning methods by education researchers, and the growing acknowledgment of their inherent risks, there is an urgent need for tailored methodological guidance on how to improve and evaluate the validity of inferences drawn from these methods. Drawing on an integrative literature review and extending a…

Rural adult schools, implemented by Community Learning Centers (CLCs) as part of the Capacity Building Project, face inadequate and irregular funding in China. Moreover, these schools lack technical guidelines for project implementation, posing additional challenges. This study employed the "entrepreneurship-impact" matrix conceptual…

This paper explores how the charter school sector evaluates the success of specialized education programs in order that the Nature School can learn from these best practices and develop its own framework. The researcher conducted in-depth interviews with five evaluation experts and eight diverse charter school authorizers overseeing a significant…

In this second edition of Disciplinary Literacy Inquiry and Instruction, Jacy Ippolito, Christina L. Dobbs, and Megin Charner-Laird update their framework for guiding discipline-specific teaching and learning in K-12 classrooms. With new and revised chapters, the book outlines disciplinary literacy professional learning that not only supports the…

Using data from multiple informants has long been considered best practice in education. However, multiple informants often disagree on similar constructs, complicating decision-making. Polynomial regression and response-surface analysis (PRA) is often used to test the congruence effect between multiple informants on an outcome. However, PRA…

This report shares the learnings across 28 exploratory projects from teams across K-12 school districts, nonprofits, and nonprofit and for-profit edtech companies, leveraging AI to support numerous goals across K-12 educational settings. Through this report, we aim to highlight the early successes of AI, surface the key barriers that call for…

This research aimed to study the components and indicators and develop, try out, and evaluate the education administration model towards excellence in the 21st century for Thailand's primary schools. The research was divided into 4 phases: 1) study of components and indicators using the content synthesis method and in-depth interviews with nine…

Anatomy education employs diverse teaching techniques worldwide, causing debates over the effectiveness of traditional versus newer methods. This study sought to investigate medical students' preferences for teaching methods in their institutions and provide recommendations for an optimal anatomy education model. In this cross-sectional study, all…

The use of generative artificial intelligence (GAI) large language models has increased in both professional and classroom technical writing settings. One common response to student use of GAI is to increase surveillance, incorporating plagiarism detection services or banning certain composing activities from the classroom. This paper argues such…

Student engagement is one of the most promising concepts in educational research today, as it has been positively correlated to a host of desirable outcomes and negatively correlated to a variety of undesirable outcomes. While there has been tremendous progress in advancing our understanding of student engagement including the developing of…