GrACE: Computer Science Education through Procedural Content Generation

GrACE is an educational puzzle game that aims to teach computational thinking. The puzzles are procedurally generated, allowing share strategies for solving the puzzles with other players without giving each other the answer, as well as to experiment with different puzzles at a similar difficulty level. The puzzles and mechanics are designed around the classical computer science problem of finding the minimum spanning tree of a graph. This project is part of the larger Gram’s House project, a collaboration between Northeastern University, Carleton University, Kean College, and Arizona State University. GrACE is funded by the National Science Foundation.

Publications

Casper Harteveld, Gillian Smith, Gail Carmichael, Elisabeth Gee, Carolee Stewart-Gardiner. A Design-Focused Analysis of Games Teaching Computer ScienceProceedings of Games+Learning+Society 10, Madison, WI, USA, June 10-13, 2014. (more…)Read More...

 

Gillian Smith, Casper Harteveld. Procedural Content Generation as an Opportunity to Foster Collaborative Mindful LearningProceedings of the Workshop on Games for Learning, co-located with Foundations of Digital Games 2013, Chania, Crete, May 16, 2013. (more…)Read More...

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