TY  - GEN
AB  - nnovative 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. (2019), 
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
AD  - University of Southern Indiana
AD  - North Carolina State University
AD  - North Carolina State University
AD  - Eastern Michigan University
AU  - Hudson, Rick A.
AU  - Mojica, Gemma F.
AU  - Lee, Hollylynne S.
AU  - Casey, Stephanie
DA  - 2024-10-17
ID  - 1563146
JF  - Computers in the Schools
KW  - data moves
KW  - statistics
KW  - data science
KW  - data visualizations
KW  - prospective teachers
L1  - https://library.usi.edu/record/1563146/files/Data%20Moves%20as%20a%20Focusing%20Lens%20for%20Learning%20to%20Teach%20with%20CODAP%20%281%29.pdf
L2  - https://library.usi.edu/record/1563146/files/Data%20Moves%20as%20a%20Focusing%20Lens%20for%20Learning%20to%20Teach%20with%20CODAP%20%281%29.pdf
L4  - https://library.usi.edu/record/1563146/files/Data%20Moves%20as%20a%20Focusing%20Lens%20for%20Learning%20to%20Teach%20with%20CODAP%20%281%29.pdf
LA  - eng
LK  - https://library.usi.edu/record/1563146/files/Data%20Moves%20as%20a%20Focusing%20Lens%20for%20Learning%20to%20Teach%20with%20CODAP%20%281%29.pdf
N2  - nnovative 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. (2019), 
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
PB  - Taylor & Francis
PY  - 2024-10-17
T1  - Data Moves as a Focusing Lens for Learning to Teach  with CODAP
TI  - Data Moves as a Focusing Lens for Learning to Teach  with CODAP
UR  - https://library.usi.edu/record/1563146/files/Data%20Moves%20as%20a%20Focusing%20Lens%20for%20Learning%20to%20Teach%20with%20CODAP%20%281%29.pdf
Y1  - 2024-10-17
ER  -