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人工智能在教育领域应用的走势、风险与应对 被引量:3

Trends,Risks,and Responses to the Application of Artificial Intelligence in Education
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摘要 人工智能在教育领域的应用是技术与教育融合发展的时代要求,是智能技术与教育事业双向生长的历史产物。目前,人工智能在教育领域的全面、纵深、常态化应用昭示着人类数字教育生活的正式来临,技术向人生长、人机内联共生、社会全面介入的智能技术势必给当下教育世界带来一股强震。人工智能存在着诸多不确定性,其发展势必面临一系列风险挑战。从风险社会视角审视,人工智能的教育应用正面临“技术自反”“技术遮蔽”以及“技治主义”等系统性风险,全面防范技术风险、主体风险以及社会风险是教育数智化改革的制胜之道。要有效规避上述潜在风险,教育改革者应健全“技术向善”的规约准则,坚守“人机共生”的规范体系,构建“融通联通”的问责体制。 The application of artificial inteligence in education represents a historical convergence ol technological advancement and pedagogical evolution,emerging from the bidirectional development of intelligent systems and educational practices.Currently,the comprehensive,deep-rooted,and normalized application of AI in education heralds a digitized educational ecosystem characterized by human-centric technological evolution,intrinsic human-machine symbiosis,and pervasive societal engagement in learning.These trends are poised to fundamentally transfomm contemporary education.However,AI's inherent uncertainties introduce systemie risks requiring critical examination.Through the lens of risk society theory,AI applications in education currently face systemic challenges,including technological reflexivity,technological oclusion,and technocatic dominance.To ensure sucessful digial-intelligent transformation in education,it is imperative to holistically address technical risks,agentic risks,and socio-structural risks.Effective risk mitigation requires educational reformens t strengthen ethical technology govermance principles,maintain human-machine symbiosis frameworks,and establish integrated accountability systems.
作者 龙宝新 高伊菲 曹宇巍 LONG Bao-xin;GAO Yi-fei;CAO Yu-wei(Faculty of Education,Shaanxi Normal Univensity,Xi'an Shaanxi 71062,China;Dean's Office,Shaanxi Normal University,Xi'an Shaanxi 710062,China)
出处 《苏州大学学报(教育科学版)》 北大核心 2025年第4期51-61,共11页 Journal of Soochow University(Educational Science Edition)
基金 陕西省2023年度教师发展研究计划项目“基于高校教师教学能力评价的课堂数智管理体系研究”(项目编号:2023JSY033)的阶段性研究成果。
关键词 教育数智化 人工智能 技术延伸 人机交往 社会参与 风险社会 educational digitiztion-intelligence artifieial intelligence technological extension human-machine interaction societal engagement risk society
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