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
Hauptverfasser: BURTON, ERIN PETERS, RICH, PETER, CLEARY, TIMOTHY, BURTON, STEPHEN, KITSANTAS, ANASTASIA, EGAN, GARRETT, ELLSWORTH, JORDAN
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container_issue 6
container_start_page 30
container_title The Science teacher (National Science Teachers Association)
container_volume 87
creator BURTON, ERIN PETERS
RICH, PETER
CLEARY, TIMOTHY
BURTON, STEPHEN
KITSANTAS, ANASTASIA
EGAN, GARRETT
ELLSWORTH, JORDAN
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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source EBSCOhost Education Source; JSTOR
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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