Between Society 5.0 and Educational Traditions: Exploring Cultural and Philosophical Misalignment in Japan's Integration of Generative <scp>AI</scp>

ABSTRACT This article critically examines Japan's integration of Generative AI (GenAI) into education by analysing national and local policy frameworks alongside the cultural, ethical and philosophical traditions that shape Japanese views of technology and schooling. The analysis highlights the limitations of AI‐driven digital acculturation in the Japanese educational context. It identifies major cultural misalignments between approaches to integrating AI in education (AIED) and the values underpinning the Japanese schooling system across three dimensions: the relational and interdependent self (‘ jiko ’) versus individualised AI learning pathways; the selfless teacher ideal (‘ kenshin‐teki kyōshi‐zō ’) challenged by new professional pressures; and community‐based school practices (‘ tokubetsu katsudō ’) that cannot be authentically replicated through digital technologies. While Japan's Society 5.0 vision promotes human‐centred innovation grounded in dignity, diversity and sustainability, AI policy often reflects neoliberal values emphasising efficiency and individualism. The findings suggest that integrating AI harmoniously into Japanese educational culture requires the promotion of interdependent learning, the balanced role of teachers and enhancement in community‐forming aspects of education.

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Publication Details

Journal
European Journal of Education
Published
2026-01-30
DOI
https://doi.org/10.1111/ejed.70487
Primary Topic
Digital Education and Society
Type
article
Field-Weighted Citation Impact
0.00

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article

Between Society 5.0 and Educational Traditions: Exploring Cultural and Philosophical Misalignment in Japan's Integration of Generative AI

Phuong‐Thao T. Luu, Duc‐Hung Nguyen, Ngoc‐Thang B. Le, Hong‐Kong T. Nguyen et al.
European Journal of Education
Digital Education and Society
article

Between Society 5.0 and Educational Traditions: Exploring Cultural and Philosophical Misalignment in Japan's Integration of Generative AI

Phuong‐Thao T. Luu, Duc‐Hung Nguyen, Ngoc‐Thang B. Le, Hong‐Kong T. Nguyen, Hung‐Hiep Pham, Manh‐Tung Ho
article en

Abstract

ABSTRACT This article critically examines Japan's integration of Generative AI (GenAI) into education by analysing national and local policy frameworks alongside the cultural, ethical and philosophical traditions that shape Japanese views of technology and schooling. The analysis highlights the limitations of AI‐driven digital acculturation in the Japanese educational context. It identifies major cultural misalignments between approaches to integrating AI in education (AIED) and the values underpinning the Japanese schooling system across three dimensions: the relational and interdependent self (‘ jiko ’) versus individualised AI learning pathways; the selfless teacher ideal (‘ kenshin‐teki kyōshi‐zō ’) challenged by new professional pressures; and community‐based school practices (‘ tokubetsu katsudō ’) that cannot be authentically replicated through digital technologies. While Japan's Society 5.0 vision promotes human‐centred innovation grounded in dignity, diversity and sustainability, AI policy often reflects neoliberal values emphasising efficiency and individualism. The findings suggest that integrating AI harmoniously into Japanese educational culture requires the promotion of interdependent learning, the balanced role of teachers and enhancement in community‐forming aspects of education.

European Journal of EducationVol. 61(1)
Ritsumeikan Asia Pacific University (JP), Vietnam National University, Hanoi (VN), Thuyloi University (VN), Vietnam Academy of Social Sciences (VN), Phenikaa University (VN), KU Leuven (BE)
National Foundation for Science and Technology Development
Openalex Percentile: Top 81%
Digital Education and Society
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Between Society 5.0 and Educational Traditions: Exploring Cultural and Philosophical Misalignment in Japan's Integration of Generative <scp>AI</scp> — Phuong‐Thao T. Luu, Duc‐Hung Nguyen, et al. · European Journal of Education (2026) | TGRS Research Map | TGRS