Computational tools hold promise science education, but each tool has a different way of representing information. This paper describes ontological alignment, ways to connect what students know, and how agent-based models represent scientific systems.

Agent-based modeling can get students thinking about mechanism. But to get students refining their models toward accurate explanations, comparing models with data is just as important.