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Our contemporary society is in a complex transition toward sustainability, driven by the rapid advancement of information technologies. This societal transformation necessitates reconsideration of the current education systems. Network-type thinking is a significant competence emphasized in this context of global educational trend. This paper explores the role of early childhood education in fostering network-type thinking through the use of picture books. Specifically, it is possible to enhance young children’s network-type thinking by developing their ability to identify connections among the contents of picture books. Hence, by applying eduinformatics as our approach, we investigate how picture books can be mapped and connected within a semantic space. Utilizing natural language processing techniques, including bag-of-words, TF-IDF, and doc2vec, we analyzed 302 Japanese picture books to examine their distribution and clustering. Our findings suggest that picture books are almost uniformly distributed in the semantic space, with doc2vec proving most effective in identifying similarities. A close reading of similar books revealed thematic connections that could be used to cultivate network-type thinking. Overall, this study underscores the potential of picture books in early childhood education to develop network-type thinking, an essential cognitive skill aligning with global educational trends.

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Leveraging Eduinformatics to Foster Network-Type Thinking in Early Childhood Education Through Picture Books

  • 会议论文

  • 发表日期：

    2025年

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  • Hibiki Ito,
  • Kenya Bannaka,
  • Ryosuke Kozaki,
  • Katsuhiko Murakami,
  • Koichi Akashi,
  • Sayaka Matsumoto,
  • Kunihiko Takamatsu

摘要

Our contemporary society is in a complex transition toward sustainability, driven by the rapid advancement of information technologies. This societal transformation necessitates reconsideration of the current education systems. Network-type thinking is a significant competence emphasized in this context of global educational trend. This paper explores the role of early childhood education in fostering network-type thinking through the use of picture books. Specifically, it is possible to enhance young children’s network-type thinking by developing their ability to identify connections among the contents of picture books. Hence, by applying eduinformatics as our approach, we investigate how picture books can be mapped and connected within a semantic space. Utilizing natural language processing techniques, including bag-of-words, TF-IDF, and doc2vec, we analyzed 302 Japanese picture books to examine their distribution and clustering. Our findings suggest that picture books are almost uniformly distributed in the semantic space, with doc2vec proving most effective in identifying similarities. A close reading of similar books revealed thematic connections that could be used to cultivate network-type thinking. Overall, this study underscores the potential of picture books in early childhood education to develop network-type thinking, an essential cognitive skill aligning with global educational trends.