Children on ChatGPT Readability in an Educational Context: Myth or Opportunity?

Emiliana Murgia, Maria Soledad Pera, Monica Landoni, Theo Huibers

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

13 Citations (Scopus)
104 Downloads (Pure)

Abstract

In this work, we present the results of a preliminary exploration aiming to understand whether the use of ChatGPT in an educational context can be an asset to meet the specific needs of the students. In particular, we focus on the possibility of adapting the responses to online inquiries related to the primary school curriculum to meet the expectations of readers with different literacy levels. The analysis of feedback elicited from children (9- to 10-year-olds) in three 4th grade classrooms indicates that ChatGPT can adapt its responses to the 4th grade level. However, it still needs improvement to reach the right level of readability. Outcomes from this work can inspire future research directions involving technologies like ChatGPT to adapt learning paths to suit a broad range of students with varied cognitive skills. The potential of such tools to support teachers in their effort to adapt to individual learning needs is still to be fully exploited.

Original languageEnglish
Title of host publicationUMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery
Pages311-316
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

  • ChatGPT
  • children
  • education
  • personalization

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