农业图书情报学报

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MDASH认证背景下日本高校人工智能素养教育设计、实践与启示

戴鑫伟, 李丰   

  1. 台州学院 图书馆,台州 318000
  • 收稿日期:2025-02-17 出版日期:2025-06-04
  • 作者简介:

    戴鑫伟(1995- ),男,硕士,助理馆员,研究方向为信息素养教育

    李丰(1983- ),男,硕士,副研究馆员,研究方向为信息素养教育、知识产权服务

Enlightenment of AI Literacy Educational Designs and Practices at Japanese MDASH Literacy-level Approved Universities

DAI Xinwei, LI Feng   

  1. Taizhou University Library, Taizhou 318000
  • Received:2025-02-17 Online:2025-06-04

摘要:

[目的/意义] 在全球教育数字化转型浪潮下,人工智能(AI)推动日本教育体制向“AI+”模式转型。日本文部科学省主导实施的MDASH认证,为日本高校描绘了AI素养教育设计与实施路径,可为中国AI素养教育发展提供理论借鉴与实践指导。 [方法/过程] 采用网络调研与文献分析,以日本AI教育战略为切入点,探究日本MDASHL课程模型下形成的AI素养教育框架及其理论内涵,选取日本高校AIL教育典型示范案例,分析各高校AIL教育的共性与个性,凝练对中国的有益启示。 [结果/结论] 研究总结出日本AI素养教育在认知、感悟、理解、伦理、操作5个方向上,所映射的各类AI素养框架指标,同时发现中日两国AI素养教育在战略与制度、课程设计、产学融合3个方面的差异特征,结合中国国情与相关政策文件提出在AI素养教育实施过程中,中国可从全局部署阶梯式AI人才培养体系,在校际、校内两个组织层面协同推行“AI+”高等教育;指导高校设计模块化AI素养教育课程,并行培养与AI相关的内外部多元素养,助推AI通识课程、“AI+专业”课程的开设与普及;建议高校构建AI素养数智化产学融合体系,深化AI素养教育与产业实践的全路径双向融合。

关键词: AI素养教育, 教育设计, 教育实践, 高等教育, 日本

Abstract:

[Purpose/Significance] Amid the global wave of digital transformation in education, artificial intelligence (AI) has emerged as a driving force behind Japanese educational reform, propelling the country's education system toward an "AI+" model. The "Approved Program for Mathematics,Data science and AI Smart Higher Education" (MDASH), led by the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT), outlines a comprehensive framework for designing and implementing AI literacy (AIL) education in Japanese universities. MDASH not only reflects the Japanese strategic response to the AI-driven future, but also provides valuable theoretical references and practical guidance for enhancing AIL education in China. This study provides a detailed analysis of the "MDASH literacy-level" (MDASHL) curriculum model design, paying a particular attention to the model's modules and the mechanisms of interaction between them. It also examines the theoretical references from MDASHL review system to the AIL framework studies. The study proposes innovative implementation strategies for AIL education from unique perspectives, especially the "industry-academia integration" aspect. [Method/Process] Using internet research and literature analysis, starting with an exploration of Japanese national AI policy landscape, the study traces the evolution of Japanese AI policies and the contextual origins of the MDASH. It describes the objectives and philosophy of Japanese AIL education and delves into the theoretical underpinnings of the MDASHL curriculum model based on the mapping relationship between indicators of AIL frameworks and the components of the MDASHL review system. We select Hokuriku University, Wakayama University, Chiba University, and Kansai Univerisity as samples because they were approved by MDASHL and demonstrated exemplary effects. We introduce their subject curriculum design and specific teaching initiatives, identify the commonalities and unique characteristics of their AIL education, and further elaborate on their specific educational implementation pathways. [Results/Conclusions] The findings indicate that the Japanese MDASHL curriculum model is deeply rooted in the AIL frameworks. It summarizes five educational directions for Japanese AI literacy education: recognition, realization, comprehension, ethics, and practical operation. By comparing the current status of AIL education in China and Japan, the study found that Japanese AIL education has achieved rapid responsiveness and systematic development under the unified coordination of MEXT. It suggests that Japanese AI literacy education strategies have localized value, from which beneficial insights can be drawn in three areas: strategic planning, curriculum design, and industry-academia integration. These strategies provide innovative solutions for developing AIL education systems in Chinese universities. However, this study acknowledges limitations in the sample size. To comprehensively capture the full landscape of Japanese AIL education development, future research should expand the sample size, summarize its patterns and characteristics more thoroughly, and enhance the persuasiveness and generalizability of the findings.

Key words: AI literacy education, educational design, educational practice, higher education, Japan

中图分类号:  G252

引用本文

戴鑫伟, 李丰. MDASH认证背景下日本高校人工智能素养教育设计、实践与启示[J/OL]. 农业图书情报学报. https://doi.org/10.13998/j.cnki.issn1002-1248.25-0148.

DAI Xinwei, LI Feng. Enlightenment of AI Literacy Educational Designs and Practices at Japanese MDASH Literacy-level Approved Universities[J/OL]. Journal of library and information science in agriculture. https://doi.org/10.13998/j.cnki.issn1002-1248.25-0148.