Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
<|reference_start|>Generative AI for Education (GAIED): Advances, Opportunities, and Challenges: 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.<|reference_end|>
@article{denny2024generative,
    title={Generative AI for Education (GAIED): Advances, Opportunities, and
  Challenges},
    author={Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja K"aser, Steven
  Moore, Anna N. Rafferty, Adish Singla},
    journal={arXiv preprint arXiv:2402.01580},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.01580},
    primaryClass={cs.CY cs.AI}
}