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arxiv: 2503.19280 · v1 · pith:UWLKZR5Lnew · submitted 2025-03-25 · 💻 cs.DM · cs.AI· cs.HC

LogicLearner: A Tool for the Guided Practice of Propositional Logic Proofs

classification 💻 cs.DM cs.AIcs.HC
keywords practicelogiclogiclearnerguidedproofstoolundergraduateenvironment
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The study of propositional logic -- fundamental to the theory of computing -- is a cornerstone of the undergraduate computer science curriculum. Learning to solve logical proofs requires repeated guided practice, but undergraduate students often lack access to on-demand tutoring in a judgment-free environment. In this work, we highlight the need for guided practice tools in undergraduate mathematics education and outline the desiderata of an effective practice tool. We accordingly develop LogicLearner, a web application for guided logic proof practice. LogicLearner consists of an interface to attempt logic proofs step-by-step and an automated proof solver to generate solutions on the fly, allowing users to request guidance as needed. We pilot LogicLearner as a practice tool in two semesters of an undergraduate discrete mathematics course and receive strongly positive feedback for usability and pedagogical value in student surveys. To the best of our knowledge, LogicLearner is the only learning tool that provides an end-to-end practice environment for logic proofs with immediate, judgment-free feedback.

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  1. Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most

    cs.AI 2026-05 conditional novelty 6.0

    LLM tutoring agents achieve near-ceiling accuracy on optimal solutions but systematically over-reject valid suboptimal reasoning and over-validate incorrect ones in a propositional logic benchmark.