AI赋能产业背景下人工智能类专业群人才培养实验改革实践
Experimental Reform Practice in Talent Cultivation of AI-related Majors under the Background of AI Empowering Industries
夏淑媛1
作者信息
摘要
在国务院推动AI赋能产业焕新的背景下,人工智能类专业群人才培养迫在眉睫.针对人工智能领域知识体系庞大,学科交叉性强,领域知识面广等问题,该文提出构建一种"个性化、跨领域、产业导向"的实验教学体系.这一体系旨在培养人工智能类专业群高质量人才,并为理论体系改革打下基础.
Abstract
Against the backdrop of the State Council's drive to revitalize industries through AI empowerment,the cultivation of talents in AI-related majors has become imperative.Addressing issues such as the vast knowledge system,strong interdisciplinary nature,and broad scope of knowledge in the field of artificial intelligence,this paper proposes the construction of a"personalized,interdisciplinary,industry-oriented"experimental teaching system.This system aims to cultivate high-quality talents in AI-related majors and lay the foundation for the reform of theoretical frameworks.
关键词
人工智能/实验/专业群/个性化Key words
AI/experiment/professional group/individuation引用本文复制引用
基金项目
校级项目(202302014)
河北省高等教育教学改革研究与实践项目(2022GJJG039)
出版年
2024
NETL
NSTL
万方数据