Thinking Big: Using computational thinking for data practices in high school science
Students often need to obtain, organize, clean, and analyze data in order to draw conclusions about a particular phenomenon (e.g., why tidal heights change). When conducting a science investigation in biology, chemistry, physics, or Earth science, data can be collected by the student or can be provi...
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Veröffentlicht in: | The Science teacher (National Science Teachers Association) 2020-02, Vol.87 (6), p.30-36 |
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description | Students often need to obtain, organize, clean, and analyze data in order to draw conclusions about a particular phenomenon (e.g., why tidal heights change). When conducting a science investigation in biology, chemistry, physics, or Earth science, data can be collected by the student or can be provided to them via secondary data sets. This article demonstrates how computational thinking and data practices can be merged to develop more effective science investigation lesson plans. |
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When conducting a science investigation in biology, chemistry, physics, or Earth science, data can be collected by the student or can be provided to them via secondary data sets. This article demonstrates how computational thinking and data practices can be merged to develop more effective science investigation lesson plans.</abstract><cop>Abingdon</cop><pub>National Science Teachers Association</pub><tpages>7</tpages></addata></record> |
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subjects | Algorithms Automation Computation Computers Data Analysis Data Collection Decomposition FEATURES High School Students Lesson Plans Mathematics Observation Organic Chemistry Pattern recognition Science Science Activities Science Process Skills Secondary School Science Student Records Students Teaching Methods Thinking Skills Water bodies |
title | Thinking Big: Using computational thinking for data practices in high school science |
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