Current Status of Artificial Intelligence Discipline Construction in Colleges and Universities in the Era of Educational Informatization 2.0:A Case Study of Zhejiang Province

Q. Jiang, Zhi Liu
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Abstract

In Educational Informatization 2.0 Era, faced with the competition and challenge of global educational intellectualization, the state and local government have introduced a number of policies to lead the construction of artificial intelligence discipline in colleges and universities. Taking Zhejiang Province as an example, this research combs and summarizes the status quo and characteristics of artificial intelligence discipline construction in colleges and universities in Zhejiang Province in recent years, and provides some practical cases and experience references for the development of artificial intelligence discipline in colleges and universities. 教育信息化2.0时代高校人工智能学科建设现状分析 ——以浙江省为例 姜倩, 刘智 浙江大学,杭州,浙江,中国 杭州电子科技大学,杭州,浙江,中国 zjujiang@126.com, liuzhi@hdu.edu.cn 关键词: 教育信息化2.0;人工智能;高校;浙江省 中文摘要. 教育信息化2.0时代,面对全球教育智能化的竞争和挑战,国家和地方出台了多项 政策引领高校人工智能学科建设。本研究浙江省为重点,梳理和总结了近几年浙江省内高校 人工智能学科建设的现状和特点,为高校人工智能学科的发展提供一定的实践案例和经验借 鉴。
教育信息化2.0时代高校人工智能学科建设现状——以浙江省为例
In Educational Informatization 2.0 Era, faced with the competition and challenge of global educational intellectualization, the state and local government have introduced a number of policies to lead the construction of artificial intelligence discipline in colleges and universities. Taking Zhejiang Province as an example, this research combs and summarizes the status quo and characteristics of artificial intelligence discipline construction in colleges and universities in Zhejiang Province in recent years, and provides some practical cases and experience references for the development of artificial intelligence discipline in colleges and universities. 教育信息化2.0时代高校人工智能学科建设现状分析 ——以浙江省为例 姜倩, 刘智 浙江大学,杭州,浙江,中国 杭州电子科技大学,杭州,浙江,中国 zjujiang@126.com, liuzhi@hdu.edu.cn 关键词: 教育信息化2.0;人工智能;高校;浙江省 中文摘要. 教育信息化2.0时代,面对全球教育智能化的竞争和挑战,国家和地方出台了多项 政策引领高校人工智能学科建设。本研究浙江省为重点,梳理和总结了近几年浙江省内高校 人工智能学科建设的现状和特点,为高校人工智能学科的发展提供一定的实践案例和经验借 鉴。
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