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The purpose of this study was to examine the effects of different data conditions on item parameter recovery and classification accuracy of three dichotomous mixture item response theory (IRT) models: the Mix1PL, Mix2PL,…
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Diagnostic classification models (DCMs) are restricted latent class models with a set of cross-class equality constraints and additional monotonicity constraints on their item parameters, both of which are needed to ensure…
A Model Comparison Approach to Posterior Predictive Model Checks in Bayesian Confirmatory Factor Analysis
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Posterior Predictive Model Checking (PPMC) is frequently used for model fit evaluation in Bayesian Confirmatory Factor Analysis (BCFA). In standard PPMC procedures, model misfit is quantified by comparing the location of…
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This report takes stock of what we currently know as well as what we need to know to make classroom assessment maximally beneficial for the teaching and learning of STEM subject matter in K–12 classrooms…
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This is the project-created training course for new users to learn about the STEM-OP and how to use it.
This is the project-created training course for new users to learn about the STEM-OP and how to…
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With a decade passing since the release of the Next Generation Science Standards (NGSS), it is timely to reflect and consider the extent to which the promise of science teaching and learning that values and centers…
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The modern information landscape offers an abundance of options to learn about science topics, but it is also ripe for the spread of mis- and disinformation and science denial. Science education can play a pivotal role in…
STEM Teacher Characteristics and Mobility: Longitudinal Evidence from the American Midwest, 2010 Through 2023
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This study examines the demographics, qualifications, and turnover of STEM teachers in Kansas and Missouri—two contiguous, predominantly rural states in the Midwestern region of the United States. The existing literature…
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General educators rarely receive adequate training for supporting students with disabilities (SWDs). We suggest a key contributing factor is the longstanding gap between special and general education researchers, which is…
“We Have a Lot in Common”: Mothers’ and Teachers’ Perspectives on Barriers and Pathways to Mathematical Partnerships
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This study examined parents’ and teachers’ perspectives about the barriers and pathways to the development of home–school mathematics partnerships and how to move from barriers to pathways.
This study…
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The recent surge of artificial intelligence (AI) in science education has heightened interest among the NARST community—a curiosity about how technology can transform education that has lasted for decades. This growing…
Ways Researchers Can Use Teacher Noticing to Inform the Conceptualization of a Complex Teaching Practice
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Prior research has examined teachers’ noticing in order to understand what factors affect teacher noticing and how mathematics teacher educators can support that noticing. We contend, however, that analyzing teachers’…
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This paper explores the tensions—or discontinuities—that arise when designing for educational improvement at scale through research-practice partnerships (RPPs). Focusing on a statewide mathematics education initiative,…
Designing for Systemic Coherence: A Framework for Supporting Instructional Improvement in Mathematics Education
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Design research offers an approach for developing innovations in authentic educational settings and generating knowledge about learning and the designs that support it. Yet scaling and sustaining these innovations across…