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Interdisciplinary Ideas

Discover Student Thinking While Analyzing Data . . . and Having Fun! (Data Literacy 101)

Pages 6-9 | Received 30 Aug 2023, Accepted 31 Aug 2023, Published online: 31 Jan 2024
 

Abstract

Our students rarely practice data skills with data not related to our science content, which makes sense given all we must teach. But always asking our students to succeed at the data skill move (e.g., graphing, analyzing, interpreting) and the content move (connecting it to what they are learning) at the same time can be a lot of pressure. Cognitively, this is a lot for novices and thus makes it trickier to elicit students’ ideas around the data and the content.

Additional information

Notes on contributors

Kristin Hunter-Thomson

Kristin Hunter-Thomson ([email protected]) runs Dataspire Education & Evaluation, LLC.

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