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Geological Models for Explorations of Dynamic Earth (GEODE): Integrating the Power of Geodynamic Models in Middle School Earth Science Curriculum
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This project will develop and research the transformational potential of geodynamic models embedded in learning progression-informed online curricula modules for middle school teaching and learning of Earth…
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This project will create technology-enhanced classroom activities and resources that increase student learning of science practices in high school biology, chemistry, and physics. InquirySpace will incorporate…
Connected Biology: Three-Dimensional Learning from Molecules to Populations (Collaborative Research: White)
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This project will design, develop, and examine the learning outcomes of a new curriculum unit for biology that embodies the conceptual framework of the Next Generation Science Standards (NGSS). The curriculum…
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For this project, researchers will iteratively develop simulations to include sonifications, non-speech sounds that represent visual information, aimed at enhancing accessibility for all learners, but…
Engaging Students in Discourse About Criteria for Judging Scientific Models (Collaborative Research: Duncan)
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The goal of this project is to study how secondary students come to understand better an underlying logic of natural sciences—the relation between construction of new ideas and critique of them. Science…
Engaging Students in Discourse About Criteria for Judging Scientific Models (Collaborative Research: Danish)
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The goal of this project is to study how secondary students come to understand better an underlying logic of natural sciences—the relation between construction of new ideas and critique of them. Science…
Capturing and Leveraging Data from Teacher-Student Interactions to Improve STEM Learning: An Incubator Project
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Teachers are extraordinarily important to student learning, but researchers have surprisingly little data about what teachers do moment-to-moment with students. What are the instructional moves and…
Enhancing the Future of Teacher Practice via AI-Enabled Formative Feedback for Job-Embedded Learning (Collaborative Research: D'Mello)
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This project envisions a future of work where advanced technologies provide automated, job-embedded, individualized feedback to drive professional learning of the future worker. To achieve this goal, it…
Enhancing the Future of Teacher Practice via AI-Enabled Formative Feedback for Job-Embedded Learning (Collaborative Research: Kelly)
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This project envisions a future of work where advanced technologies provide automated, job-embedded, individualized feedback to drive professional learning of the future worker. To achieve this goal, it…