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In the United States, national and state standardized assessments have become a metric for measuring student learning and high-quality learning environments. As the COVID-19 pandemic offered a multitude of learning…
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The Delphi method has been adapted to inform item refinements in educational and psychological assessment development. An explanatory sequential mixed methods design using Delphi is a common approach to gain experts'…
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MindHive is an online, open science, citizen science platform co-designed by a team of educational researchers, teachers, cognitive and social scientists, UX researchers, community organizers, and software developers to…
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Students need “critical data literacy” skills to help make sense of the multitude of information available to them, especially as it relates to high-stakes issues of social justice. The authors describe two curriculum…
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Civic Statistics by its nature is highly interdisciplinary. From a cross-curricular perspective, teaching and learning Civic Statistics faces specific challenges related to the preparation of teachers and the design of…
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Urban school leaders can support mathematics instruction that acknowledges and sustains students’ racialized and cultured ways of knowing and being. Yet, leadership for racial justice is often discussed separately from…
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In super-diverse classroom contexts, students come from varied migration channels, immigration statuses, languages, countries of origin, and religions, which contribute to new and complex social configurations of the…
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Ed+gineering, an NSF-funded program, adapted hands-on robotics instruction for online delivery in response to the COVID-19 pandemic. This qualitative multiple case study shares the experiences of participating education…
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This study explores undergraduate engineering and education students’ perspectives on their interdisciplinary teams throughout the rapid transition to online learning and instruction from a face-to-face to a virtual format…
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Despite the importance of developing elementary science teachers' content knowledge for teaching (CKT), there are limited assessments that have been designed to measure the full breadth of their CKT at scale. Our overall…
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Facilitating discussions is a key approach that science teachers use to engage students in scientific argumentation. However, learning how to facilitate argumentation-focused discussions is an ambitious teaching practice…
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Eliciting and interpreting students’ ideas are essential skills in teaching, yet pre-service teachers (PSTs) rarely have adequate opportunities to develop these skills. In this study, we examine PSTs’ patterns of discourse…
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This study explored the use of a three-part suite of practice-based activities -- one- and two-player online simulations, an avatar-based simulation, and a virtual teaching simulator—for supporting preservice teachers in…
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Coordinating modeling and real-world data is central to building scientific theories. This paper examines how a complementary focus on modeling and data contributed to 8th grade students’ learning of mechanisms underlying…
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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…
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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…
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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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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…
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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…
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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…
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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,…
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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’…
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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…
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Science identity development begins in school-aged years, when multilingual students (MLs) are often marginalised in the classroom due to language challenges and low expectations placed on them. This descriptive multiple…
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Science education literature has highlighted socio-scientific issues (SSI) as an effective pedagogy for teaching science in a social and political context. SSI links science education and real-world problems to engage…
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Global climate change (GCC) is one of the greatest challenges of our age and a highly significant socio-scientific issue (SSI). Developing secondary students’ understanding about the Earth’s climate and GCC is critical for…
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Educational policies exist as part of complex systems of many policies, all of which science teachers must make sense before using in practice. Using Actor-Network Theory to view policy translation in assemblages, we…
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Teacher noticing scholars are just beginning to explore how to support noticing that is responsive to students' cultural resources. The theoretical basis of the teacher noticing literature affords scholars a range of paths…
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This case study examines how material resistance (limitations posed by the physical world) and graph interpretation intersected during a high school biology investigation using digital sensors. This…
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Despite an increasing focus on integrating engineering design in K-12 settings, relatively few studies have investigated how to support students to engage in systematic processes to optimize the designs of their solutions…
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In rural, geographically dispersed school districts, access to high-quality face-to-face professional development (PD) is challenging. Our study developed and compared the effectiveness of an online PD for middle-school…
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Knowing how science teachers develop their professional knowledge has been a challenge. One potential way to determine the professional knowledge of teachers is through videos. In the study described here, the authors…
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This study concerns the cognitive process of mathematical problem posing, conceptualized in three stages: understanding the task, constructing the problem, and expressing the problem. We used the eye tracker and think-…
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Professional development providers often struggle with how some teachers take up and internalise new instructional practices while others have difficulty implementing new ideas and strategies. Teacher personal…