首页|人工智能时代的人才培养变革:政策驱动、理论研究与未来布局

人工智能时代的人才培养变革:政策驱动、理论研究与未来布局

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高校作为现代社会科技第一生产力、人才第一资源、创新第一动力的重要结合点,需要比其他行业、组织和领域更前瞻地应对人工智能时代需求,打破存续时久的传统人才培养常态,推动人才培养变革.本文深入探讨了,在人工智能时代高校推进人才培养变革中国家政策的驱动作用,回顾了理论研究聚焦问题和进展,对未来人才培养结构布局的优化提出了建议.在人工智能时代,高校人才培养需要适应社会经济发展的新要求,从深层次、结构化变革高校人才培养,从地区上、类型上、学科上优化结构布局,以促进教育和经济的高质量发展.
Talent Cultivation Reform in the Era of Artificial Intelligence:Policy Dynamics,Theoretical Research,and Future Layout
As a pivotal nexus of science and technology,serving as the primary driving force for productivi-ty,talent stands as the foremost resource,while innovation takes the lead in propelling modern society.Universities are required to adopt a more forward-thinking approach than other industries,organizations,and fields in response to the demands of the artificial intelligence era.This necessitates breaking away from long-standing traditional norms in talent training and promoting reform in this area.This paper extensively discusses how national policies play a crucial role in driving talent training reform within universities during the artificial intelligence era.It reviews key issues and advancements in theoretical research while propo-sing suggestions for optimizing future talent training structures and arrangements.In order to foster high-quality development within education and economy,college talent training must adapt to new requirements of social and economic progress by implementing deep-rooted structural reforms that optimize regional dis-tribution,types of programs offered,and disciplinary focus.

the Era of Artificial Intelligencetalent cultivationstructural layout optimization

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上海市教师教育学院,上海 200040

人工智能时代 人才培养 结构布局优化

2024

上海管理科学
上海市管理科学协会

上海管理科学

CHSSCD
影响因子:0.466
ISSN:1005-9679
年,卷(期):2024.46(3)
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