Interlocking Models as Sites of Modeling Practice and Conceptual Innovation
A central goal of both professional and classroom-based scientific communities is building and testing explanatory models of the natural world. The process of modeling a complex phenomenon often requires working across representational systems of differing scales, modalities, and purposes.
The process of modeling a complex phenomenon often requires working across representational systems of differing scales, modalities, and purposes. When put into contact, entities across multiple representational systems can become related or “interlock.” This paper describes how students drew from multiple representational systems to construct “interlocking models” and how reasoning with interlocking models supported meaningful practice and conceptual innovation.