人工智能赋能学校“双减”政策实施的可为路径

Empowering the Implementation of the“Double Reduction”Policy in Schools through Artificial Intelligence

为有效减轻义务教育阶段学生过重作业负担和校外培训负担,切实提升学校育人水平,国家出台“双减”政策,从教育优质均衡发展、提升课堂教学质量、作业设计与管理、课后服务内容与形式四个方面提出了明确要求。人工智能在教育领域的理论研究与应用实践,集中体现在智能辅导、智适应学习、数据决策、智能教育四类范畴。对标“双减”政策的内涵与需求,人工智能技术可以为基础教育体制减负提供空间和路径,如构建人机协同的学习共同体,促进教育优质均衡发展;以学情诊断和学习环境的设计为支点,提升课堂教学质量;基于差异化的作业画像,实现个性化的作业设计与管理;通过课程和智能化服务丰富课后服务的内容与形式。

To effectively reduce the heavy homework and off-campus training burdens on students in compulsory education and to enhance the educational quality of schools,the government has introduced the“Double Reduction”policy.This policy outlines clear requirements in four areas:balanced development of education quality,improvement of classroom teaching quality,homework design and management,and the content and format of after-school services.The theoretical research and practical applications of artificial intelligence(AI)in education are reflected in four categories:intelligent tutoring,adaptive learning,data-driven decision-making,and smart education.In line with the goals and demands of the“Double Reduction”policy,AI technology can provide pathways and solutions for alleviating burdens in the basic education system.These include creating human-AI collaborative learning communities to promote balanced educational development;using diagnostic assessments and the design of learning environments to improve classroom teaching quality;achieving personalized homework design and management through differentiated homework profiles;and enriching after-school services through courses and intelligent services.