Finding Common Mistakes In Modelling With Mathematical Formalisms Using LLMs
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 similarities, and (3) visualize resulting clusters for instructors and CS education researchers. ...
| Authors | Lilian Killich, Marko Schmellenkamp, Fabian Vehlken et al. |
|---|---|
| Primary category | cs.CY |
| Published | 15 September 2026 |
| Last updated at source | 15 September 2026 |
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