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

Authors
Paul Denny,
Sumit Gulwani,
Neil T. Heffernan,
Tanja KŠser,
Steven Moore,
Anna N. Rafferty,
Adish Singla
Date
Publisher
arXiv
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.
Study at a glance
  • Question: What are the opportunities, challenges, and future directions for using generative AI to enhance education?
  • Setting and data: NeurIPS 2023 conference workshop bringing together researchers, educators, and practitioners.
  • Method: Workshop overview and survey of future research directions (survey article).
Why it matters

Exploring the potential of generative AI for enhancing education involves bringing together researchers, educators, and practitioners. Examining the area's advances, opportunities, and challenges helps highlight future research directions.

Key findings
  • In a 2023 conference workshop, educators and researchers identified generative artificial intelligence as offering clear potential to enhance education.
  • Generative artificial intelligence brings both promising educational opportunities and notable technical and practical challenges.
  • Recent developments highlight multiple distinct future research directions for applying generative artificial intelligence to educational settings.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

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