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Title: Data Moves as a Focusing Lens for Learning to Teach with CODAP
Innovative dynamic data tools afford opportunities for K-12 students and teachers to explore multivariate data and create linked data representations. These tools also support engagement in data moves, which are transnumerative actions to process, organize, and visualize data. The current study sought to understand how prospective K-12 mathematics teachers (PMTs) use data moves in the Common Online Data Analysis Platform (CODAP) to create and interpret visualizations and statistical measures to make sense of state-level data about education in the United States. Extending the work of Erickson et al. (Citation2019), a framework is presented to characterize data moves and provide examples of actions within CODAP that illustrate each data move. Based on analysis of thirty screencasts created by PMTs, four examples highlight PMTs’ use of data moves to investigate data in CODAP.  more » « less
Award ID(s):
2141727 2141724 2141716
PAR ID:
10590352
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
Taylor & Francis Online
Date Published:
Journal Name:
Computers in the Schools
ISSN:
0738-0569
Page Range / eLocation ID:
1 to 26
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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