Numerous reviews have synthesized the empirical research on the effectiveness of teacher education, highlighting teacher education effectiveness research (TEER) as an emerging research paradigm. Our systematic search identified 27 reviews related to TEER, wherein teacher education is broadly understood as comprising all stages of teacher…

Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…

Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…

Background: The technological age of the twenty-first century has witnessed an upsurge in the demand for STEM education. Early childhood STEM learning and teaching has sparked attention among researchers. Purpose: This study aims to provide a holistic review of current STEM research in Early Childhood Education (ECE). Sample: We conducted a…

Student outcomes are of great importance in higher education institutions. Accreditation bodies focus on them as an indicator to measure the performance and effectiveness of the institution. Forecasting students' academic performance is crucial for every educational establishment seeking to enhance performance and perseverance of its students and…

In an effort to reduce state spending on special education in public schools, New Jersey moved to census-based funding as part of the new school funding formula, the School Funding Reform Act (SFRA), adopted in 2008. The census approach funds all districts using the statewide average classification rate and a statewide average "excess…

Recent advances in publicly available natural language processors (NLP) may enhance the efficiency of analyzing student short-answer responses in physics education research (PER). We train a state-of-the-art NLP, IBM's Watson, and test its agreement with human coders using two different studies that gathered text responses in which students…

State funding for public higher education institutions is crucial in supporting college access and completion, particularly among students from historically under-represented groups, yet little is known about the mechanisms that states use to allocate funds and how they are affected by financial challenges. This article provides the first detailed…

Education research commonly uses racial terminology but with little understanding of racial classification patterns across the field. In this study, we surface the use of racial terminology using a census of original research published in American Educational Research Association journals between 2009 and 2019. We do so as an ethical…

The Q-matrix played a key role in implementations of diagnostic classification models (DCMs) or cognitive diagnostic models (CDMs) -- a family of psychometric models that are gaining attention in providing diagnostic information on students' mastery of cognitive attributes or skills. Using two Monte Carlo simulation studies, this dissertation…

This study analyzed how closely ChatGPT aligned with university IRB (institutional review board) decisions regarding which review category applies to research proposals. A literature review revealed that studies about IRBs mostly focus on ethical aspects of the process; this study offers additional insight into IRB administration. For this study,…

The academic voice related to learning and teaching (L&T) professional development (PD) is an important consideration in supporting universities' pursuit of improving their teaching as a core function of their mission. Framed by a typology of L&T PD in Australian universities, this paper reports on a study that investigated academics'…

This paper investigates crosslingual content scoring, a scenario where scoring models trained on learner data in one language are applied to data in a different language. We analyze data in five different languages (Chinese, English, French, German and Spanish) collected for three prompts of the established English ASAP content scoring dataset. We…

Prompting learners to generate examples has been proposed as an effective way of developing understanding of a new concept. However, empirical support for this approach is lacking. This article presents two empirical studies on the use of example-generation tasks in an online course in introductory university mathematics. The first study compares…

While the Two or More Races category has been the de facto mechanism to count multiracial college students since 2010, little research has critically examined how this category has been used in institutional research contexts. Extending previous scholarship on monoracism in higher education, we define "quantitative monoracism" as the…