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

Emiliana Murgia, Zahra Abbasiantaeb, Mohammad Aliannejadi, Theo Huibers, Monica Landoni, Maria Soledad Pera

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)
159 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationUMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery
Pages22-27
Number of pages6
ISBN (Electronic)9781450398916
DOIs
Publication statusPublished - 26 Jun 2023
Event31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023 - Limassol, Cyprus
Duration: 26 Jun 202330 Jun 2023
Conference number: 31

Conference

Conference31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023
Abbreviated titleUMAP 2023
Country/TerritoryCyprus
CityLimassol
Period26/06/2330/06/23

Keywords

  • n/a OA procedure

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