Search and Filter

Research Study Repository Glossary

Submit a research study

Contribute to the repository:

Add a paper

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

Authors
Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla
Date
Publisher
arXiv
Link
https://arxiv.org/abs/2402.01580

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.

What is the application?
Teaching – Instructional Materials,
Teaching – Assessment and Feedback,
Teaching – Professional Learning,
Learning – Student Support
Who is the user?
Student,
Educator
Who age?
Elementary (PK5),
Middle School (6-8),
High School (9-12),
Post-Secondary
Why use AI?
Efficiency,
Outcomes – Literacy,
Outcomes – Numeracy,
Outcomes – Other Academic,
Outcomes – Differentiation,
Outcomes – Social Emotional,
Outcomes – Durable Skills,
Reimagined Schooling
Study design
Descriptive – Implementation and Use,
Descriptive – Product Development