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

• URL: http://arxiv.org/abs/2407.15022v1
• Date: Wed, 26 Jun 2024 14:27:24 GMT
• Title: Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
• Authors: Aditi Singh, Abul Ehtesham, Saket Kumar, Gaurav Kumar Gupta, Tala Talaei Khoei,
• Abstract summary: This research introduces an innovative mathematical learning approach that integrates generative AI to cultivate a structured learning rather than quick solution. The goal is to transition students from seeking quick fixes to engaging actively in a comprehensive learning experience.
• Score: 0.7889270818022226
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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