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Video Interactions for Teaching and Learning (VITAL): A Learning Environment for Courses in Early Childhood Mathematics Education
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This project enhances and expands video-based instruction to help prospective and practicing teachers analyze the development of children's mathematical thinking. It trains teachers to: (a) understand from a…
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This project promotes teacher "learning in practice" to bring out and build on the cognitive strengths of their students for science learning in the classroom. Understanding the broader contexts of their student…
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Understanding Science provides an accurate portrayal of the nature of science and tools for teaching associated concepts. This project has at its heart a public re-engagement with science that begins with…
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This project uses new psychometric techniques to create a technological tool that could evaluate how well students in the 4th-8th mathematics and science classrooms respond to complex performance tasks. The…
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The PuM project develops and conducts research on a learning continuum for seamless instruction in middle school physical science and high school physics. The ultimate goal is to use physics as the context to…
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This project implemented a facets-of-thinking perspective to design tools and practices to improve high school chemistry teachers' formative assessment practices. Goals are to identify and develop clusters of…
Universal Design of Inquiry-based Middle and High School Science Curricula (Collaborative Research: Rose)
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CAST, the University of Michigan, and EDC are collaborating to create heuristics for universally designed middle and high school science materials; to build an open-source UDL Inquiry Science System (ISS) that…
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EDC is developing a high school capstone course in linear algebra. Student resources contain a core semester that develops two- and three-dimensional geometry using vectors and that treats matrix algebra and its…
CAREER: From Research to Meta-Research to Practice – The Development of an Educational Learning Environment Framework for School Algebra
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This project advances the understanding of teaching and learning of algebra in grades 6 through 12 by using a methodology that leverages the cumulative power of an analysis of many studies on a topic. This work…
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In this project, we examine middle-school students’ understandings of coordinate systems and frames of reference prior to examining their graph construction and interpretation. This focus allows us to design…
Integrating the Statistical Investigation Process, Data Visualization, and Simulation into High School Statistics
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This project is developing curricular materials that utilize best teaching practices in improving student understanding of statistics and data science for use in high school Algebra I, Algebra II, and Geometry…
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This project will develop and investigate mathematics language routines focused on data science topics in middle and high school. The study will investigate teachers’ use of mathematics language routines and a…
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Covariational reasoning, or the ability to reason about relationships as quantities change together, is one way of thinking that can provide a foundation for students to build their more abstract algebraic…
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This project examines the development of statistical literacy that combines statistical reasoning and thinking. The project will use professional learning communities for teachers to learn about statistical…
Fostering Virtual Learning of Data Science Foundations with Mathematical Logic for Rural High School Students (Collaborative Research: Zhang)
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This project addresses a major educational barrier, namely that rural students are less likely to choose a major in STEM and have far less access to advanced STEM courses taught by highly qualified teachers.…
Fostering Virtual Learning of Data Science Foundations with Mathematical Logic for Rural High School Students (Collaborative Research: Xing)
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This project addresses a major educational barrier, namely that rural students are less likely to choose a major in STEM and have far less access to advanced STEM courses taught by highly qualified teachers. The…
Learning Probability Through AI Problem-Solving in a Game-based Environment (Collaborative Research: Greenwald)
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Understanding probability is essential for daily life. Probabilistic reasoning is critical in decision making not only for people but also for artificial intelligence (AI). AI sets a modern context to connect…
Learning Probability Through AI Problem-Solving in a Game-based Environment (Collaborative Research: Wang)
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Understanding probability is essential for daily life. Probabilistic reasoning is critical in decision making not only for people but also for artificial intelligence (AI). AI sets a modern context to connect…
Examining an Online, International Exchange Professional Development Program for High School Teachers
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This project aims to elaborate a structure for practice-oriented, collaborative professional development that increases the capacities for collaborative learning by facilitating teacher-to-teacher interactions…
Developing Neural and Behavioral Measures to Predict Long-Term STEM Learning Outcomes from a High School Spatial Learning Course (Collaborative Research: Green)
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This project uses neural and behavioral measures of learning as a basis for making improvements to an immersive high school course that trains students in flexible spatial cognition and data analysis. Tracking…
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Through this project, the North Carolina State University Data Science Academy will identify the key success components of a model for the recruitment and mentoring of a diverse cohort of postdoctoral fellows…