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

TL;DR

This paper proposes a reward-based learning system integrating generative AI to promote responsible, structured mathematical learning by encouraging students to solve problems step-by-step rather than seeking quick answers from AI.

Contribution

It introduces a novel reward-based framework that leverages generative AI to foster active, responsible learning in mathematics education.

Findings

Enhanced student engagement in problem-solving.

Reduced reliance on instant AI answers.

Promoted deeper understanding through structured exercises.

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.