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.