Proposal and Development of Tools for Visualizing the Relationship Between Childcare Records and Children’s Qualities and Abilities Using Generative AI

In the National Curriculum Standard for Kindergartens (revised in 2017), it is stated that kindergartens shall endeavor to nurture qualities and abilities. In order to support teachers in understanding children’s development, this paper proposes tools that use generative AI to assess the degree of relevance (relatedness) between observed behaviors of children described in childcare records and qualities and abilities. Multiple methods based on different prompts were designed to calculate the relatedness score for each sentence, and validity was examined by comparing these scores to those assessed by experts. The results for a “foundation of knowledge and skills” and a “basic abilities of thinking, judgement, and expression, etc.” showed high agreement with expert assessments under several methods. Although the overall agreement rate for the “learning dispositions and humanity, etc. to advance towards learning” was low, all methods showed correlation with expert assessments. Furthermore, three visualization methods were proposed, and received a certain level of positive evaluation by teachers and university students, suggesting that they could serve as helpful references for understanding children and grasping the qualities and abilities.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.293
Primary Topic
Diverse Interdisciplinary Research Innovations
Type
article
Field-Weighted Citation Impact
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article

Proposal and Development of Tools for Visualizing the Relationship Between Childcare Records and Children’s Qualities and Abilities Using Generative AI

Atsuo Hazeyama, Naoki Kato, Shirabe Yuji
Procedia Computer Science
Diverse Interdisciplinary Research Innovations
article

Proposal and Development of Tools for Visualizing the Relationship Between Childcare Records and Children’s Qualities and Abilities Using Generative AI

Atsuo Hazeyama, Naoki Kato, Shirabe Yuji
article en

Abstract

In the National Curriculum Standard for Kindergartens (revised in 2017), it is stated that kindergartens shall endeavor to nurture qualities and abilities. In order to support teachers in understanding children’s development, this paper proposes tools that use generative AI to assess the degree of relevance (relatedness) between observed behaviors of children described in childcare records and qualities and abilities. Multiple methods based on different prompts were designed to calculate the relatedness score for each sentence, and validity was examined by comparing these scores to those assessed by experts. The results for a “foundation of knowledge and skills” and a “basic abilities of thinking, judgement, and expression, etc.” showed high agreement with expert assessments under several methods. Although the overall agreement rate for the “learning dispositions and humanity, etc. to advance towards learning” was low, all methods showed correlation with expert assessments. Furthermore, three visualization methods were proposed, and received a certain level of positive evaluation by teachers and university students, suggesting that they could serve as helpful references for understanding children and grasping the qualities and abilities.

Procedia Computer ScienceVol. 270
Openalex Percentile: Top 61%
Diverse Interdisciplinary Research Innovations
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