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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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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…
Empowering Educators to Create Customized, Culturally Responsive Instructional Materials from Scratch Encore Harmonized with the Interest of Students (Collaborative Research: Franklin)
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This project builds on a successful introductory computer science curriculum, called Scratch Encore, to explore ways to support teachers in bringing together—or harmonizing—existing Scratch Encore instructional…
Empowering Educators to Create Customized, Culturally Responsive Instructional Materials from Scratch Encore Harmonized with the Interest of Students (Collaborative Research: Weintrop)
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This project builds on a successful introductory computer science curriculum, called Scratch Encore, to explore ways to support teachers in bringing together—or harmonizing—existing Scratch Encore instructional…
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…
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This project will design instructional assessment materials by using an innovative and unique design approach that brings together the coherent and systematic design elements of evidence-centered design, an…
Designing Computational Modeling Curricula across Science Subjects to Study How Repeated Engagement Impacts Student Learning throughout High School (Collaborative Research: Conlin)
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The focus of this project is the design of learning experiences in different high school science courses to help students gain experience in computational thinking. The project uses a partnership between two…
Designing Computational Modeling Curricula across Science Subjects to Study How Repeated Engagement Impacts Student Learning throughout High School (Collaborative Research: Kantzer)
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The focus of this project is the design of learning experiences in different high school science courses to help students gain experience in computational thinking. The project uses a partnership between two…
Quantifying Curricular Reasoning as a Critical Practice in Teaching Mathematics (Collaborative Research: Dingman)
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Teachers of mathematics engage in curricular reasoning as they design and interact with their students, choose curricular materials, and implement curriculum standards in the service of high-quality instruction…
Quantifying Curricular Reasoning as a Critical Practice in Teaching Mathematics (Collaborative Research: Roth-McDuffie)
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Teachers of mathematics engage in curricular reasoning as they design and interact with their students, choose curricular materials, and implement curriculum standards in the service of high-quality instruction…
Quantifying Curricular Reasoning as a Critical Practice in Teaching Mathematics (Collaborative Research: May-Sondergeld)
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Teachers of mathematics engage in curricular reasoning as they design and interact with their students, choose curricular materials, and implement curriculum standards in the service of high-quality instruction…
Quantifying Curricular Reasoning as a Critical Practice in Teaching Mathematics (Collaborative Research: Bostic)
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Teachers of mathematics engage in curricular reasoning as they design and interact with their students, choose curricular materials, and implement curriculum standards in the service of high-quality instruction…
Quantifying Curricular Reasoning as a Critical Practice in Teaching Mathematics (Collaborative Research: Teuscher)
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Teachers of mathematics engage in curricular reasoning as they design and interact with their students, choose curricular materials, and implement curriculum standards in the service of high-quality instruction…
Adapted Measure of Math Engagement: Designing Self-Report Measures of Mathematics Engagement for Black and Latina/o Middle School Students (Collaborative Research: Holquist)
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This project focuses on developing the Adapted Measure of Math Engagement (AM-ME), a culturally sustaining self-report measure of Black and Latina/o middle school students’ mathematics engagement. By developing…
Adapted Measure of Math Engagement: Designing Self-Report Measures of Mathematics Engagement for Black and Latina/o Middle School Students (Collaborative Research: Gordon)
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This project focuses on developing the Adapted Measure of Math Engagement (AM-ME), a culturally sustaining self-report measure of Black and Latina/o middle school students’ mathematics engagement. By developing…
Evaluating Effects of Automatic Feedback Aligned to a Learning Progression to Promote Knowledge-In-Use
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This project examines the effect of an assessment system that automatically generates feedback based on students’ open-ended assessment responses in chemistry and physics consistent with a previously-developed…
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EarthX is a design-based research project that supports the integration of Earth science into high school biology, chemistry, and physics courses in Baltimore City Public Schools, while also supporting the…
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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…