Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866911963680866304 |
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| author | Singh, Aditi Ehtesham, Abul Kumar, Saket Gupta, Gaurav Kumar Khoei, Tala Talaei |
| author_facet | Singh, Aditi Ehtesham, Abul Kumar, Saket Gupta, Gaurav Kumar Khoei, Tala Talaei |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_15022 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach Singh, Aditi Ehtesham, Abul Kumar, Saket Gupta, Gaurav Kumar Khoei, Tala Talaei Computers and Society Artificial Intelligence 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. |
| title | Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2407.15022 |