Using Large Language Models for (De-)Formalization and Natural Argumentation Exercises for Beginner's Students

Merlin Carl
(Europa-Universität Flensburg)

We describe two systems currently being developed that use large language models for the automatized correction of (i) exercises in translating back and forth between natural language and the languages of propositional logic and first-order predicate logic and (ii) exercises in writing simple arguments in natural language in non-mathematical scenarios.

In Julien Narboux, Walther Neuper and Pedro Quaresma: Proceedings 12th International Workshop on Theorem proving components for Educational software (ThEdu'23), Rome, Italy, 5th July 2023, Electronic Proceedings in Theoretical Computer Science 400, pp. 28–43.
Published: 6th April 2024.

ArXived at: https://dx.doi.org/10.4204/EPTCS.400.3 bibtex PDF
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