Data Moves as a Focusing Lens for Learning to Teach with CODAP
Article / Journal
Author(s) / editor(s):
Gemma F. Mojica
,
Hollylynne S. Lee
,
Rick A. Hudson
,
and Stephanie Casey
Year: 2025
Language(s): English
Abstract:
This study examines how prospective K–12 math teachers use dynamic data tools (CODAP) to perform "data moves"—transnumerative actions to process, organize, and visualize multivariate data. The authors extend a framework characterizing data moves with CODAP-specific examples and analyze 30 student screencasts using U.S. state-level education data. Four illustrative cases show how PMTs employ data moves to create and interpret visualizations and statistical measures to make sense of the data.
https://doi.org/10.1080/07380569.2024.2411705
Post created by: Virginia Signorini