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Infect, Attach or Bounce off?: Linking Real Data and Computational Models to Make Sense of the Mechanisms of Diffusion
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This study explores how the interplay between data and model design shifts 6th graders’ students' ideas about diffusion as they build a range of models (“paper and pencil” and computational models). We present a new web-…
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Adopting a pretest–posttest experimental design with repeated measures, this study examined the effects of three types of game-based learning supports in the form of modeling on knowledge development that contributed to…
Exploring Students’ Learning Support Use in Digital Game-based Math Learning: A Mixed-Methods Approach Using Machine Learning and Multi-cases Study
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Digital game-based math learning environments (math DGBLE) are promising platforms that provide students with opportunities to master conceptual understanding and cultivate mathematical thinking, on which the contemporary…
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Although prior research has highlighted the significance of representations for mathematical learning, there is still a lack of research on how students use multimodal external representations (MERs) to solve mathematical…
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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…
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…
Investigating Teachers’ Understanding Through Topic Modeling: A Promising Approach to Studying Teachers’ Knowledge
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Examining teachers’ knowledge on a large scale involves addressing substantial measurement and logistical issues; thus, existing teacher knowledge assessments have mainly consisted of selected-response items because of…
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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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Big ideas in science education are meant to be interpretive frameworks that empower student learning. Unfortunately, outside of the broad conception of scientific evaluation, there are few theoretical explanations of how…
Socio-Scientific Learning During the COVID-19 Pandemic: Comparing In-person and Virtual Science Learning Using Model-Evidence Link Diagrams
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Science learning is an important part of the K-12 educational experience, as well as in the lives of students. This study considered students’ science learning as they engaged in the instruction of scientific issues with…
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The new DRK-12 solicitation (NSF 23-596) introduces several changes and updates compared to the previous solicitation (NSF 20-572). Proposal writers should take note of the differences outlined in this document…
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This webinar provided early career data science education researchers with information on the state of the field; tools, curricula, and other resources for researchers; and insight into funding opportunities and proposal…
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Resources from the NSF-led webinars on the new DRK-12 Solicitation 23-596.
Resources from the NSF-led webinars on the new DRK-12 Solicitation 23-596.
2023 NSF Information Session on DRK-12…
A Remote View into the Classroom: Analyzing Teacher Use of Digitally Enhanced Educative Curriculum Materials in Support of Student Learning
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When integrated into online curriculum modules for students, educative curriculum materials (ECMs) can enhance teachers’ enactment of these modules. This study investigated (1) the use of digitally enhanced ECMs built into…
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This article pilots ChatGPT in tackling the most challenging part of science learning and found it successful in automation of assessment development, grading, learning guidance, and recommendation of learning materials…
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Explaining phenomena associated with a system involves describing a system’s structure and articulating the process through which the system’s structure changes over time. This paper defines geo-sequential reasoning in the…
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Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent studies have found a significant amount of confusion and misunderstanding surrounding AI. To develop effective educational…
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Questions regarding the construction of mathematical authority have implications for learning, specifically for students’ views of themselves as mathematics learners and doers with valuable contributions. We consider the…
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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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A 10-week, energy literacy curriculum unit for 6th grade students. Students will study energy use and transfer in their own school buildings. They will explore how Earth systems supply renewable and nonrenewable energy,…
Comparing How College Mathematics Instructors and High-School Teachers Recognize Professional Obligations of Mathematics Teaching when Making Instructional Decisions
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This paper investigates how mathematics instructors' recognition of the professional obligations of mathematics teaching varies based on their institutional environment, specifically whether they teach high school or…
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Teachers must know how to use language to support students in knowledge generation environments that align to the Next Generation Science Standards. To measure this knowledge, this study refines a survey on teachers’…
‘If You Wanted to Take this Model and Throw Nitrogen at It, It Would Fit’: Synthesis Approach to Modelling to Learn About Biogeochemical Cycles
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This qualitative study examines how a group of undergraduate and graduate students in an upper-level ecosystem ecology course at a research university in the southeastern part of the United States engage in a task that…