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人工智能与教育深度融合发展:逻辑、困境与策略
引用本文:张海生.人工智能与教育深度融合发展:逻辑、困境与策略[J].当代教育论坛,2021(2):57-65.
作者姓名:张海生
作者单位:重庆文理学院期刊社 重庆402160
基金项目:本文系教育部人文社会科学研究青年基金项目“我国高校'人工智能+新工科'融合发展模式研究”
摘    要:人工智能与教育深度融合发展的目的在于通过高智能性的技术来不断提升教育的科学性和民主化。人工智能与教育深度融合发展的操作原理是通过技术、数据和算法的重组,推动教育走向智能化,具体表现为支持智能教育关键技术的高智能化(技术)、教育资源的整合与教育大数据的形成(数据)和教育供给的科学化(算法+服务)。就目前而言,人工智能与教育深度融合发展还存在技术基础不稳、教育数据缺陷、算法能力不足等现实问题。为此,要想实现人工智能与教育的深度融合发展,教育应尽早谋划,重新思考人工智能时代教育将如何存在,并从技术基础(改善技术的成熟度,重新思考技术世界中的教育)、数据驱动(加快教育数据资源的整合力度,提高教育数据单元质量)和算法服务(创新教育资源的有效供给方式)三个层面协同推进。

关 键 词:人工智能  智能教育  智能技术  教育数据  教育服务  智能算法

Deep Integration and Development of Artificial Intelligence and Education : Logic,Problems and Strategies
Zhang Haisheng.Deep Integration and Development of Artificial Intelligence and Education : Logic,Problems and Strategies[J].Forum on Contemporary Education,2021(2):57-65.
Authors:Zhang Haisheng
Institution:(Journal of Chongqing University of Arts and Sciences,Chongqing 402160;Renmin University of China,Beijing 100872)
Abstract:The purpose of the deep integration and development of artificial intelligence and education is to continuously improve the scientificity and democratization of education through high intelligent technology. The operation principle of the deep integration development of artificial intelligence and education is to promote education to be intelligent through the reorganization of technology, data and algorithm, which is specifically manifested in the support of high intelligence(technology) of key technologies of intelligent education, the integration of educational resources and the formation of educational big data(data)and the scientization of education supply(algorithm + service). At present, there are still some practical problems in the deep integration development of artificial intelligence and education, such as the instability of technical foundation, the defect of educational data and the lack of algorithm ability. Therefore, in order to realize the deep integration development of artificial intelligence and education, education should plan as early as possible, rethink how education will exist in the era of artificial intelligence, and from the technical basis(improve the maturity of technology, rethink education in the technological world), data driven(accelerate the integration of educational data resources, improve the quality of educational data units)and algorithm services(innovation) the effective supply mode of educational resources should be promoted in three aspects.
Keywords:artifical intelliyence  intelliegent education  ientelligent technology  educational data  educational data service  intelligent algorithm
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