SOURCE-LINKED INTELLIGENCE

Finding Common Mistakes In Modelling With Mathematical Formalisms Using LLMs

arXiv · AI, language, vision and robotics · article · Sep 15, 2026 · UTC

Modelling with mathematical formalisms like logical formulas, mathematical equations, or regular expressions is an important yet challenging task for students of computer science and other STEM disciplines. Identifying common mistakes occurring in this context is an important step towards helping struggling students by providing targeted high-quality feedback, e.g. in interactive learning systems. We present a tool-supported workflow that allows to (1) identify candidates for common mistakes that explain many student mistakes in large educational data sets, (2) cluster candidates according to

Read original source ↗ Open in workspace

recordType

paper

region

Global