Function Transformations (ARC)
Dustin Gaskins, University of Oklahoma
Paul Regier, University of Science and Arts of Oklahoma
In a Functions and Modeling course, the primary focus is on understanding functions, especially as they relate to modeling real-world scenarios. While it’s relatively straightforward to grasp function composition by studying domains, ranges, and symbolic manipulation in abstract mathematical contexts, applying these concepts to models involving units and measurable quantities demands a more thorough analysis. This activity is designed to guide students through a series of scaffolded tasks that deepen their understanding of function composition, helping them critically evaluate how different contexts influence function composition and recognize meaningful applications.
This work is licensed under CC BY-NC-SA 4.0
