mlsanityData to 7 Oct 2026

Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach

arXiv 2407.15022 ↗First posted 26 Jun 2024cs.CY cs.AIcited by 2

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Abstract (arXiv)

This research introduces an innovative mathematical learning approach that integrates generative AI to cultivate a structured learning rather than quick solution. Our method combines chatbot capabilities and generative AI to offer interactive problem-solving exercises, enhancing learning through a stepby-step approach for varied problems, advocating for the responsible use of AI in education. Our approach emphasizes that immediate answers from ChatGPT can impede real learning. We introduce a reward-based system that requires students to solve mathematical problems effectively to receive the final answer. This encourages a progressive learning path from basic to complex problems, rewarding mastery with final solutions. The goal is to transition students from seeking quick fixes to engaging actively in a comprehensive learning experience.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 1 of its 27 references that are in the map. First posted on arXiv 26 Jun 2024.

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1 of 27 references.

References · 1

  1. 2023Large Language Model-Driven Classroom Flipping: Empowering Student-Centric Peer Questioning with Flipped Interactioncited by 5

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