Generative AI and education: dynamic personalization of pupils’ school learning material with ChatGPT

The widespread use of generative AI tools like ChatGPT has seen significant growth. This rise prompted discussions on integrating these technologies into school education. However, the practical implementation, testing, and assessment of generative AI in primary and secondary education remained largely unexplored. This article examines the application of ChatGPT-3.5 and 4 in primary school education. A study involving 110 students aged 8–14 across grades 4–6 in two Uruguayan schools was conducted. The focus was on using generative AI for dynamic personalization of educational content during classroom lessons. In these sessions, instructional content followed the curriculum goals, and text, illustrations, and exercises were generated and dynamically adjusted based on generative AI. The findings indicate that generative AI effectively tailors school materials to match varying pupil knowledge levels. Real-time adjustments during lessons cater to individual learning needs, enhancing cognitive ergonomics. This approach not only boosts pupil motivation but also improves their performance, facilitating more effective achievement of the curriculum’s learning objectives. These results suggest a promising avenue for leveraging generative AI to personalize and optimize primary school education.

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Publication Details

Journal
Frontiers in Education
Published
2024-11-19
DOI
https://doi.org/10.3389/feduc.2024.1288723
Citations
41
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
16.88

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article

Generative AI and education: dynamic personalization of pupils’ school learning material with ChatGPT

Jussi S. Jauhiainen, Agustín Garagorry Guerra
41 citations
Frontiers in Education
Online Learning and Analytics
16.88
article

Generative AI and education: dynamic personalization of pupils’ school learning material with ChatGPT

Jussi S. Jauhiainen, Agustín Garagorry Guerra
article en
41 citations

Abstract

The widespread use of generative AI tools like ChatGPT has seen significant growth. This rise prompted discussions on integrating these technologies into school education. However, the practical implementation, testing, and assessment of generative AI in primary and secondary education remained largely unexplored. This article examines the application of ChatGPT-3.5 and 4 in primary school education. A study involving 110 students aged 8–14 across grades 4–6 in two Uruguayan schools was conducted. The focus was on using generative AI for dynamic personalization of educational content during classroom lessons. In these sessions, instructional content followed the curriculum goals, and text, illustrations, and exercises were generated and dynamically adjusted based on generative AI. The findings indicate that generative AI effectively tailors school materials to match varying pupil knowledge levels. Real-time adjustments during lessons cater to individual learning needs, enhancing cognitive ergonomics. This approach not only boosts pupil motivation but also improves their performance, facilitating more effective achievement of the curriculum’s learning objectives. These results suggest a promising avenue for leveraging generative AI to personalize and optimize primary school education.

Frontiers in EducationVol. 9
University of Turku (FI), University of Tartu (EE)
Turun Yliopisto, Business Finland
Quality Education
Openalex Percentile: Top 1%
Online Learning and Analytics
16.88
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Generative AI and education: dynamic personalization of pupils’ school learning material with ChatGPT — Jussi S. Jauhiainen, Agustín Garagorry Guerra · Frontiers in Education (2024) | TGRS Research Map | TGRS