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

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

doi:10.1145/3563359.3596996

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

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

Web Information Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

7 Citations (Scopus)

9 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 language	English
Title of host publication	UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery (ACM)
Pages	311-316
Number of pages	6
ISBN (Electronic)	9781450398916
DOIs	https://doi.org/10.1145/3563359.3596996
Publication status	Published - 2023
Event	31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023 - Limassol, Cyprus Duration: 26 Jun 2023 → 30 Jun 2023

Publication series

Name	UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference	31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023
Country/Territory	Cyprus
City	Limassol
Period	26/06/23 → 30/06/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

ChatGPT
children
education
personalization

Access to Document

10.1145/3563359.3596996

3563359.3596996Final published version, 5.6 MB

Cite this

Murgia, E., Pera, M. S., Landoni, M., & Huibers, T. (2023). Children on ChatGPT Readability in an Educational Context: Myth or Opportunity? In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp. 311-316). (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery (ACM). https://doi.org/10.1145/3563359.3596996

Murgia, Emiliana ; Pera, Maria Soledad ; Landoni, Monica et al. / Children on ChatGPT Readability in an Educational Context : Myth or Opportunity?. UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), 2023. pp. 311-316 (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization).

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Murgia, E, Pera, MS, Landoni, M & Huibers, T 2023, Children on ChatGPT Readability in an Educational Context: Myth or Opportunity? in UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery (ACM), pp. 311-316, 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023, Limassol, Cyprus, 26/06/23. https://doi.org/10.1145/3563359.3596996

Children on ChatGPT Readability in an Educational Context: Myth or Opportunity? / Murgia, Emiliana; Pera, Maria Soledad; Landoni, Monica et al.
UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), 2023. p. 311-316 (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Landoni, Monica

AU - Huibers, Theo

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

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ER -

Murgia E, Pera MS, Landoni M, Huibers T. Children on ChatGPT Readability in an Educational Context: Myth or Opportunity? In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM). 2023. p. 311-316. (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization). doi: 10.1145/3563359.3596996

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

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Keywords

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