Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
This addresses the issue of passive learning in education due to AI misuse, though it is incremental as it builds on existing chatbot and reward system concepts.
The paper tackles the problem of students using generative AI for quick answers by introducing a reward-based learning approach that requires solving mathematical problems step-by-step to receive final solutions, aiming to foster structured learning.
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.