ChatGPT in the Classroom: A Preliminary Exploration on the Feasibility of Adapting ChatGPT to Support Children's Information Discovery

Authors
  • M. Landoni
  • M.S. Pera
Publication date 2023
Book title Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
Book subtitle UMAP 2023 : June 26-30, 2023, Limassol, Cyprus
ISBN (electronic)
  • 9781450398916
Event 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023
Pages (from-to) 22-27
Number of pages 6
Publisher New York: Association for Computing Machinery
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

The influence of ChatGPT and similar models on education is being increasingly discussed. With the current level of enthusiasm among users, ChatGPT is envisioned as having great potential. As generative models are unpredictable in terms of producing biased, harmful, and unsafe content, we argue that they should be comprehensively tested for more vulnerable groups, such as children, to understand what role they can play and what training and supervision are necessary. Here, we present the results of a preliminary exploration aiming to understand whether ChatGPT can adapt to support children in completing information discovery tasks in the education context. We analyze ChatGPT responses to search prompts related to the 4th grade classroom curriculum using a variety of lenses (e.g., readability and language) to identify open challenges and limitations that must be addressed by interdisciplinary communities.

Document type Conference contribution
Language English
Published at https://doi.org/10.1145/3563359.3597399
Other links https://www.scopus.com/pages/publications/85163725878
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