Creating Data Literate Students provides high school librarians and educators with foundational domain knowledge to teach a new subset of information literacy skills - data and statistical literacy, including: statistics and data comprehension; data as argument; and data visualization. Data - both raw and displayed in visualizations - can clarify or confuse, confirm or deny, persuade or deter. Students often learn that numbers are objective, though data in the real world is rarely so. In fact, visualized data - ...
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Creating Data Literate Students provides high school librarians and educators with foundational domain knowledge to teach a new subset of information literacy skills - data and statistical literacy, including: statistics and data comprehension; data as argument; and data visualization. Data - both raw and displayed in visualizations - can clarify or confuse, confirm or deny, persuade or deter. Students often learn that numbers are objective, though data in the real world is rarely so. In fact, visualized data - even from authoritative sources - can sometimes be anything but objective. Librarians and classroom educators need to be as fluent with quantitative data as they are with text in order to support high schoolers as they engage with data in formal and informal settings. We asked contributors to this volume - experts in high school curriculum, information literacy and/or data literacy - to explore the intersections between data and curriculum and identify high-impact strategies for demystifying data for educators and students alike.
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