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

Aditi Singh, Abul Ehtesham, Saket Kumar, Gaurav Kumar Gupta, Tala Talaei Khoei
6/26/2024
cs.CYcs.AI

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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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Cite this paper

@article{singh2024encouraging,
  title  = {Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach},
  author = {Aditi Singh and Abul Ehtesham and Saket Kumar and Gaurav Kumar Gupta and Tala Talaei Khoei},
  year   = {2024},
  eprint = {2407.15022},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2407.15022v1}
}

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