Data Games: Tools and Materials for Learning Data Modeling (Collaborative Research: Finzer)

The Data Games project has developed software and curriculum materials in which data generated by students playing computer games form the raw material for mathematics classroom activities. Students play a short video game, analyze the game data, develop improved strategies, and test their strategies in another round of the game.

Project Email: 
Lead Organization(s): 
Award Number: 
0918735
Funding Period: 
Tuesday, September 1, 2009 to Friday, August 31, 2012
Project Evaluator: 
James Hammerman
Full Description: 

Students playing computer games generate large quantities of rich, interesting, highly variable data that mostly evaporate when the game ends. What if in a classroom setting, data from games students played remained accessible to them for analysis? In software and curriculum materials developed by the Data Games project at UMass Amherst and KCP Technologies, data generated by students playing computer games form the raw material for mathematics classroom activities. Students play a short video game, analyze the game data, develop improved strategies, and try their strategies in another round of the game.

 

The video games are embedded in an online data analysis learning environment that is based on desktop software tools Fathom® Dynamic Data and Tinkerplots® Dynamic Data Exploration, widely used in grades 5–8 and 8–14 respectively. The game data appear in graphs and tables in real time, allowing several cycles of strategy improvement in a short time. The games are designed so that these cycles improve understanding of specific data modeling and/or mathematics concepts.

 

The research strand of the Data Games project focuses on students’ creation of data representations that model a real-world context. Findings from this research have been incorporated into the design of the data structures in the software.