“智能+教育”:应用场景、风险挑战与治理对策

"Intelligence+Education":Application Scenarios,Risk Challenges,and Governance Strategies

在人工智能技术赋能教育已经成为共识的大背景下,人工智能并未如预期的那样完美地促进教育高质量发展。本文从研究“智能+教育”的典型应用场景出发,分析“智能+教育”广泛应用面临的数据基础、制度规范、道德与伦理约束、社会关系异化等带来的风险挑战,然后,基于在教育领域广泛应用人工智能助推教育高质量发展的需求,探讨通过重视顶层设计、加强数据治理、提升技术能力、强化法理研究、加强智能素养培养等治理策略,发挥智能融合教育的积极作用,构筑我国“智能+教育”发展的先发优势。

With the widespread adoption of AI technology in education,it was expected to promote high-quality development in education.However,it did not fully achieve this goal.Therefore,this paper examines the risk and challenges posed by the widespread application of"Intelligence+Education"by studying its typical application scenarios.The analysis includes challenges such as data foundation,institutional norms,moral and ethical constraints,and social relationship challenges.Subsequently,this paper discusses how to promote high-quality development in education by utilizing AI technology.This includes paying attention to top-level design,strengthening data governance,improving technical abilities,conducting legal research,and governing intelligent literacy training.Furthermore,the paper suggests fully utilizing the positive role of intelligent integrated education to establish China's"Intelligence+Education"development as a first-mover advantage.