PySTEMM: Executable Concept Modeling for K-12 STEM Learning

TL;DR

PySTEMM introduces an executable concept modeling approach using Python to enhance K-12 STEM education, making learning more engaging through visualizations, animations, and simplified code structure.

Contribution

The paper presents a novel functional programming-based tool, PySTEMM, for creating interactive STEM models that support diverse learning styles and interdisciplinary integration.

Findings

Models support math, physics, chemistry, engineering examples

Supports visualizations, animations, and plots for engagement

Simplifies model creation with extendable, functional approach

Abstract

Modeling should play a central role in K-12 STEM education, where it could make classes much more engaging. A model underlies every scientific theory, and models are central to all the STEM disciplines (Science, Technology, Engineering, Math). This paper describes executable concept modeling of STEM concepts using immutable objects and pure functions in Python. I present examples in math, physics, chemistry, and engineering, built using a proof-of-concept tool called PySTEMM . The approach applies to all STEM areas and supports learning with pictures, narrative, animation, and graph plots. Models can extend each other, simplifying getting started. The functional-programming style reduces incidental complexity and code debugging.