华东师范大学学报(教育科学版) ›› 2022, Vol. 40 ›› Issue (9): 55-66.doi: 10.16382/j.cnki.1000-5560.2022.09.006

• 应用场景与教育治理 • 上一篇    下一篇

人工智能教育治理:逻辑机理与实践进路

李世瑾, 王成龙, 顾小清   

  1. 华东师范大学教育信息技术学系,上海 200062
  • 接受日期:2022-05-30 出版日期:2022-09-01 发布日期:2022-08-24
  • 基金资助:
    2019年度国家社会科学基金重大项目“人工智能促进未来教育发展研究”(19ZDA364)

Governance of Artificial Intelligence Education: Logical Mechanism and Practical Approach

Shijin Li, Chenglong Wang, Xiaoqing Gu   

  1. Department of Education Information Technology, East China Normal University, Shanghai 200062, China
  • Accepted:2022-05-30 Online:2022-09-01 Published:2022-08-24

摘要:

人工智能作为引领教育创新的内生力量,它在为教育赋能的同时也衍生出了一系列不容忽视的现实挑战,因此在人工智能与教育深度融合的进程中,科学治理尤为关键,而厘清其逻辑机理则是有效治理的坚实基础。为寻求前瞻有效的治理逻辑,必须充分考量多元情境下的创新治理行动。本文运用国际观察与案例研究方法,通过对比全球12份人工智能治理的战略行动,拓展了人工智能治理的全球思路,并以新西兰人工智能协同监管实践项目为例,厘清了人工智能治理的实践流程及教育启发。研究发现,人工智能教育治理的逻辑机理表现为:开放包容的系统情境是前提条件,支持联盟的协同教化是中坚力量,科学完善的监管机制是动力保障。鉴于此,本文提出了我国人工智能教育治理的实践进路:打造开放包容的治理场景,推动人工智能教育治理的系统性;形塑多元协同的治理机制,提升人工智能教育治理的有效性;应用动态预测的治理方法,保障人工智能教育治理的前瞻性。

关键词: 人工智能教育治理, 逻辑机理, 实践进路, 国际观察, 案例研究

Abstract:

As an endogenous force leading educational innovation, artificial intelligence not only empowers education, but also generates a series of practical challenges that cannot be ignored. Therefore, in the process of deep integration of artificial intelligence and education, scientific governance is particularly critical, and clarifying Its logical mechanism is a solid foundation for effective governance. In order to find a forward-looking and effective governance logic, it is necessary to fully consider innovative governance actions in multiple contexts. The study used international observation and case study methods, compared 12 strategic actions of artificial intelligence governance around the world, expanded the global thinking of artificial intelligence governance, and took the New Zealand artificial intelligence collaborative supervision practice project as an example to clarify the practical process and educational inspiration of artificial intelligence governance. The study found that the logical mechanism of intelligence education governance was expressed as follows. The open and inclusive system context is the prerequisite; the collaborative edification of the advocacy coalition is the backbone, and the scientific and complete supervision mechanism is the motivation guarantee. In view of this, the practical approach for artificial intelligence education governance in China are proposed. Create open and inclusive governance scenarios to promote the systematization of artificial intelligence education governance; shape diverse and synergistic governance mechanisms to enhance the effectiveness of artificial intelligence education governance; apply dynamic forecasting governance methods to ensure the foresight of artificial intelligence education governance.

Key words: artificial intelligence educational governance, logical mechanism, practical approach, international observation, case study