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Journal Article |
Symbols are a cornerstone of the written language of physics and mathematics but inconsistencies in their use pose a challenge to students. This article reports on interviews held with first-year undergraduate physics…
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Are Learning Progressions a Useful Pedagogical Tool for Instructors?
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Learning progressions (LPs) present a potential tool to guide students toward deeper understanding of core concepts as they move through a curriculum. In addition to providing a theoretical scheme for education…
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Adding Necessary Rigor to Engineering Pedagogical Change
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In this study, we explore the teaching of an acclaimed engineering education professor and his struggles to transform his classroom in light of the National Academy of Engineering standards. We argue that pedagogical…
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Freebies for Science Teachers, December 7, 2021
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Using Drama to Uncover and Expand Student Understandings of the Nature of Science
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Journal Article |
We describe a hands-on, collaborative activity designed to illustrate general properties of evolution, provide practice for quantitative skills, promote creativity and collaboration, and enable student self-assessment…
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Freebies and Opportunities for Science and STEM Teachers, December 3, 2024
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Developing the Next Generation of Elementary Science Teachers
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National science education documents emphasize new learning outcomes of elementary students; therefore, the preparation of elementary teachers should be revised to meet these challenges. This article describes how…
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Intentionally Addressing Equity in the Classroom
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Equity, as we define it, means striving to serve the needs of others and enhancing belonging by focusing on “whole humans” in emotional, sociocultural, and personal contexts. Integrating equitable practices in STEM…
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Position Statement |
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Journal Article |
We propose cross-disciplinary learning as a construct that can guide instruction and assessment in programs that feature sequential learning across multiple science disciplines. Cross-disciplinary learning combines…
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Data Detectives Clubs: A Collaborative Approach to Data Science Through Epidemiology
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