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…

Two states that are more than 2,000 miles apart have a similar goal: to embed best practices in crisis preparedness. Arizona and Pennsylvania are motivated to use the "PREPaRE School Crisis Prevention and Intervention Training Curriculum," 3rd Edition (Brock et al., 2016) across their states to increase school and practitioner readiness…

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…

Once research questions are posed, researchers must answer many a priori questions regarding research design before analysis can be performed and any conclusions can be made, including sample selection criteria, data collection method, model specification, analysis and estimation technique. The choices made by researchers along this forking path…

Mathematics education is like many scientific disciplines witnessing an increase in scientific output. Examining and reviewing every paper in an area in detail are time-consuming, making comprehensive reviews a challenging task. Unsupervised machine learning algorithms like topic models have become increasingly popular in recent years. Their…

In response to the COVID-19 crisis, embedded tutoring became a popular model to address the need for additional student support in higher education. Four U.S. community colleges collaborated to develop a successful embedded tutoring model that provides a framework and definition for embedded tutoring and training for tutors and participating…

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…

Prior Learning Assessment (PLA) programs are unique to the institution and the students they serve. While a variety of best practices persist, the need for academically rigorous and credible programs is ever-present as institutions evolve to keep up with the growing needs of adult learners today. This article provides a case study overview of…

This chapter describes a comprehensive set of best practices for the evaluation of state formula funding models and state higher education funding in general, based on existing practices within the United States. It represents a review of practices that lead to stakeholder engagement as an objective, collaborative process.

Higher education faculty who teach online can face numerous challenges in providing optimal experiences for their students. Besides their potentially limited instructional design expertise and understanding of how to optimize technology to support learning, faculty may have difficulties in finding ways to make themselves be perceived as real…