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Improving Equity in Data Science: Re-Imagining the Teaching and Learning of Data in K-16 Classrooms

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Improving Equity in Data Science: Re-Imagining the Teaching and Learning of Data in K-16 Classrooms - Tofel-Grehl, Colby (Editor), and Schanzer, Emmanuel (Editor)
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This book offers a comprehensive look at the ways in which data science can be conceptualized and engaged more equitably within the K-16 classroom setting, moving beyond merely broadening participation in educational opportunities.

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Improving Equity in Data Science: Re-Imagining the Teaching and Learning of Data in K-16 Classrooms 2024, Routledge, Oxford

ISBN-13: 9781032428628

Trade paperback

Improving Equity in Data Science: Re-Imagining the Teaching and Learning of Data in K-16 Classrooms 2024, Routledge, Oxford

ISBN-13: 9781032428666

Hardcover