Students playing computer games generate large quantities of rich, interesting, highly variable data that mostly evaporates into the ether when the game ends.
What if in a classroom setting, data from games students played remained accessible to them for analysis?
This project complements and provides input to our science education projects by attempting to understand model construction and learning processes in expert scientists, with an emphasis on the roles of analogy, imagery, and thought experiments.