Programming JSXGraph using AI
Kinga Sipos
University of Bern, Switzerland
Abstract
Visualisations play a crucial role in education, particularly in mathematics, by aiding the understanding of complex concepts. Static visualisations help structure and represent knowledge in more concentrated, often simplified ways that cater to different learning styles. Meanwhile, interactive graphs offer students the chance to explore concepts independently, fostering deeper intuition and increasing engagement with the learning material.
In this presentation, I will share my experience using JSXGraph integrated into the ILIAS plugin for STACK, exploring its potential for creating interactive educational tools. With no prior experience in programming JSXGraph, I relied on AI-driven manual prompting through ChatGPT to develop my first exercises. This presentation will highlight the process, challenges, and outcomes of using AI to code JSXGraph visualisations, demonstrating how AI can assist educators in enhancing digital learning experiences.