Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866911772504489984 |
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| author | Denny, Paul Gulwani, Sumit Heffernan, Neil T. Käser, Tanja Moore, Steven Rafferty, Anna N. Singla, Adish |
| author_facet | Denny, Paul Gulwani, Sumit Heffernan, Neil T. Käser, Tanja Moore, Steven Rafferty, Anna N. Singla, Adish |
| contents | This survey article has grown out of the GAIED (pronounced "guide") workshop organized by the authors at the NeurIPS 2023 conference. We organized the GAIED workshop as part of a community-building effort to bring together researchers, educators, and practitioners to explore the potential of generative AI for enhancing education. This article aims to provide an overview of the workshop activities and highlight several future research directions in the area of GAIED. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_01580 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Generative AI for Education (GAIED): Advances, Opportunities, and Challenges Denny, Paul Gulwani, Sumit Heffernan, Neil T. Käser, Tanja Moore, Steven Rafferty, Anna N. Singla, Adish Computers and Society Artificial Intelligence This survey article has grown out of the GAIED (pronounced "guide") workshop organized by the authors at the NeurIPS 2023 conference. We organized the GAIED workshop as part of a community-building effort to bring together researchers, educators, and practitioners to explore the potential of generative AI for enhancing education. This article aims to provide an overview of the workshop activities and highlight several future research directions in the area of GAIED. |
| title | Generative AI for Education (GAIED): Advances, Opportunities, and Challenges |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2402.01580 |