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    引领人工智能时代的教育跃迁: 2019年北京国际人工智能与教育大会综述

    Leading Education Transformation towards the AI Era: Overview of 2019 International Conference on AI and Education

    [浏览次数:13420]

【作      者】:

苗 逢 春


【关 键 词 】:

教育人工智能政策; 人机协作智能; 公平性和包容性; 《北京共识》


【栏      目】:

理论探讨


【中文摘要】:

文章综述了在中国北京召开的首届国际人工智能与教育大会的背景、研讨的重大专题、会议成果文件(即有关人工智能与教育的《北京共识》)的主要思想及其对教育政策和教学实践的指导价值。指出各国教育人工智能政策的制定应遵循以人为本、跨界协作、公平全纳三个原则,确保奠定法律法规保障、决策人员的意识与能力和培养高端人工智能人才三个基础。强调在规划教育人工智能政策时应审视人工智能和教育之间的交互作用,并通过政策引领人工智能与教育的良性互动和系统融合,即一方面,教育系统须预测和培养人工智能时代人人所需的技能和价值观以及不同层次的人工智能技能;另一方面,须借助人工智能的技术突破动态支持教育系统全领域的发展与跃迁,尤其确保教育系统核心要素的协调推进,包括借助人工智能创新教育供给方式、支持教育管理的不断更新换代、赋能教师与教学、提高学习质量与学习评价。


【英文摘要】:

The paper reviews the background, main themes of the International Conference on AI and Education(16-18 May 2019, Beijing, China) with a specific focus on the main points of the conference outcome document, Beijing Consensus, and their implications for educational policies and teaching practices. It is pointed out that the development of AI policies in education in various countries should take a humanistic approach, carry out interdisciplinary and intersectoral cooperation, and enhance equity and inclusion of education. Meanwhile, the AI policies in education should ensure the three foundations of laws and regulations guarantee, awareness and capacities of policy makers and AI talents. The planning of policies should assess the interaction between AI and education and lead to positive interaction and system integration of AI and Education: on the one hand, the education system should be enhanced to anticipate and develop skills and values and different levels of AI skills needed by individuals living and working in the AI era; on the other hand, the policies should leverage the breakthroughs of AI to dynamically enable the system-wide development and transformation of education. In particular, efforts should be made to ensure the promotion of core elements of the educational system, including AI innovating the delivery education, AI enabling the upgrading of educational management, AI empowering teachers and teaching, and AI improving learning and learning assessment.

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