Generative AI for Education (GAIED): Advances, Opportunities, and Challenges

Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore +2 more
2/2/2024
cs.CYcs.AI

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Abstract

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.

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Cite this paper

@article{denny2024generative,
  title  = {Generative AI for Education (GAIED): Advances, Opportunities, and Challenges},
  author = {Paul Denny and Sumit Gulwani and Neil T. Heffernan and Tanja Käser and Steven Moore and Anna N. Rafferty and Adish Singla},
  year   = {2024},
  eprint = {2402.01580},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.01580v2}
}

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