Creating data literate students / edited by Kristin Fontichiaro, Jo Angela Oehrli, Amy Lennex.
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...
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| Other Authors: | , , |
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| Format: | Book |
| Language: | English |
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[Ann Arbor, Michigan] :
Maize Books/Michigan Publishing,
[2017]
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| Subjects: |
MARC
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| 245 | 0 | 0 | |a Creating data literate students / |c edited by Kristin Fontichiaro, Jo Angela Oehrli, Amy Lennex. |
| 264 | 1 | |a [Ann Arbor, Michigan] : |b Maize Books/Michigan Publishing, |c [2017] | |
| 264 | 4 | |c ©2017. | |
| 300 | |a vi, 366 pages : |b illustrations (chiefly color) ; |c 26 cm. | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |g Introduction / |r Kristin Fontichiaro, Jo Angela Oehrli, Amy Lennex -- Introduction to statistical literacy / |r Lynette Hoelter -- Statistical storytelling: the language of data / |r Tasha Bergson-Michelson -- Using data in the research process / |r Jole Seroff -- Real world data fluency: how to use raw data / |r Wendy Stephens -- Manipulating data in spreadsheets / |r Martha Stuit -- Making sense of data visualization / |r Justin Joque -- Data presentation: showcasing your data with charts and graphs / |r Tierney Steelberg -- Deconstructing data visualizations: what every teen should know / |r Susan Smith -- Designing your infographic: getting to design / |r Connie Williams -- Using data visualizations in the content area / |r Jennifer Colby -- Teaching data contexts: an instructional lens / |r Debbie Abilock -- Diving lessons: taking the data literacy plunge through action research / |r Susan D. Ballard. |
| 520 | |a 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. | ||
| 650 | 0 | |a Information literacy |x Study and teaching. |0 http://id.loc.gov/authorities/subjects/sh2009127183. | |
| 650 | 0 | |a Science |x Study and teaching. |0 http://id.loc.gov/authorities/subjects/sh85118587. | |
| 650 | 7 | |a Information literacy |x Study and teaching. |2 fast |0 (OCoLC)fst00972562. | |
| 650 | 7 | |a Science |x Study and teaching. |2 fast |0 (OCoLC)fst01108387. | |
| 700 | 1 | |a Fontichiaro, Kristin, |e editor. |0 http://id.loc.gov/authorities/names/n2006084717 |1 http://isni.org/isni/000000003670166X. | |
| 700 | 1 | |a Oehrli, Jo Angela, |e editor. |0 http://id.loc.gov/authorities/names/no2017087908. | |
| 700 | 1 | |a Lennex, Amy, |e editor. |0 http://id.loc.gov/authorities/names/no2017088136. | |
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