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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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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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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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Diagnostic classification models (DCMs) are psychometric models for evaluating a student’s mastery of the essential skills in a content domain based upon their responses to a set of test items. Currently, diagnostic model…
Theoretical Diversity and Inclusivity in Science and Environmental Education Research: A Way Forward
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As distinct communities of practice (COP), science education research (SER) and environmental education research (EER) have both matured a great deal in recent decades, coming to include a greater diversity of theoretical…
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…
Engagement and Science Achievement in the Context of Integrated STEM Education: A Longitudinal Study
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A growing number of studies have shown the benefits of K-12 integrated science and engineering education. With this study, we add to the literature by documenting the relationship between STEM learning and engagement, and…
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This book is about scientific inquiry. Designed for early and mid-career researchers, it is a practical manual for conducting and communicating high-quality research in (mathematics) education. Based on the authors’…
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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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The CADRE Learning Series was designed to provide targeted support for STEM education researchers on topics of DRK-12 needs and interests. The learning series has covered the topics of professional development and…
Beginning School-University Partnerships for Transformative Social Change in Science Education: Narratives From The Field
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These narratives explore what it might entail to begin school–university partnerships towards the goal of transformative social changes through the voices of two women scholars of color. Using two school–university…
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This is a description of a new methodological tool to gather response process validity evidence. The context is scholarship within mathematics education contexts.
Response process validity evidence…
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The Responsive Math Teaching (RMT) project’s 3-year model for professional development introduces teachers to a new instructional model through a full year of monthly Math Circles, where they experience problem solving and…
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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…
Integrating a Statistical Topic Model and a Diagnostic Classification Model for Analyzing Items in a Mixed Format Assessment
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Selected response items and constructed response (CR) items are often found in the same test. Conventional psychometric models for these two types of items typically focus on using the scores for correctness of the…
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This is a technical report detailing the methods and findings for each of the research studies in the LLAMA project.
Mathematics
Achievement
Learning…
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Introduction to special issue focusing on think alouds and response process evidence. This work cuts across STEM education scholarship and introduces readers to robust means to engage in think alouds.…
Estimation of Multidimensional Item Response Theory Models with Correlated Latent Variables Using Variational Autoencoders
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In this work, we extend variational auto encoders (VAE) to estimate item parameters and correlated latent abilities, and directly compare the ML2P-VAE method to more traditional parameter estimation methods, such as Monte…
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Several recent studies have focused on helping students understand the limitations of empirical arguments (e.g., Stylianides, G. J. & Stylianides, A. J., 2009, Brown, 2014). One view is that students use empirical…
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The Mathematics Immersion for Secondary Teachers at Scale program engages sets of teachers in local school sites, connected synchronously and asynchronously to colleagues in other sites, in doing mathematics designed to…
Eliminating counterexamples: A case study intervention for improving adolescents’ ability to critique direct arguments
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Students’ difficulties with argumentation, proving, and the role of counterexamples in proving are well documented. Students in this study experienced an intervention for improving their argumentation and proving…
Developing Transmedia Engineering Curricula Using Cognitive Tools to Impact Learning and the Development of STEM Identity
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This paper examines the use of Imaginative Education (IE) to create an NGSS-aligned middle school engineering curriculum that supports transfer and the development of STEM identity.
This paper examines…
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This paper explores the theoretical connection between STEM and emergent technologies, with a focus on learner behaviors and the potential of technology-mediated experiences with computational participation (CP) in shaping…
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Students’ difficulties with contrapositive reasoning are well documented. Lack of intuition about contrapositive reasoning and lack of a meta-argument for the logical equivalence between a conditional claim and its…
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This book aims to advance ongoing debates in the field of mathematics and mathematics education regarding conceptions of argumentation, justification, and proof and the consequences for research and practice when applying…
Decomposing Practice in Teacher Professional Development: Examining Sequences of Learning Activities
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In this paper, authors analyze a PD design, examining its activities and the sequencing of professional learning tasks.
In this paper, we analyze a PD design, examining its activities and the sequencing…
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Research suggests that if students use viable argumentation in their middle school classes, then they will increase their complex mathematical reasoning and mathematics achievement. This is a 2-page infographic…
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This presntation addreses 4 research cquestions
•What extant criteria do Grade 8 students use to choose the better line
of fit between two lines “fit” to a set of data, when both lines express
the trend of the data…
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The Practicum Academy to Improve Science Education (PRACTISE) is a professional learning program to support scientific argumentation in grades 3-5. This handbook provides detailed information on how to conduct a series of…
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This book examines the extent to which study quality, assessment type, and scaffolding characteristics (strategy, intended outcome, fading schedule, scaffolding intervention, and paired intervention) influence cognitive…
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DR K-12 project members' responses to the survey question: “What research questions or topics should be future priorities for the NSF’s DR K-12 program research agenda?”
This brief presents the results…