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现场工程师培养背景下人工智能技术应用专业人才培养路径探究

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人工智能技术在高等教育中的应用日益广泛,对人才培养提出了新要求.中国政府出台多项政策,推动高校完善人工智能教育体系,设立相关专业,并提升科技创新和人才培养能力.然而,高职院校在人工智能人才培养上仍面临师资短缺、教学资源匮乏、理论与实践脱节、行业发展与教育滞后及校企合作机制不完善等挑战.本文以浙江金融职业学院与北京中软国际教育合作为例,探索人才培养路径,建议加强校企合作、共同开发实训课程、拓宽实习渠道,以提升人才培养质量,促进教育与产业融合.
Talent Development Mode Research of Artificial Intelligence Technology Application Professionals Based on the Field Engineer Training Mode
The application of artificial intelligence(AI)technology in higher education is increasingly widespread,which puts forward new requirements for talent training.The Chinese government has introduced a number of policies to promote universities and colleges to improve the AI education system,establish related majors,and enhance scientific and technological innovation and talent training capabilities.However,higher vocational colleges still face challenges in cultivating artificial intelligence talents,such as shortage of teachers,lack of teaching resources,disconnection between theory and practice,lagging industry development and education,and imperfect school-enterprise cooperation mechanism.Taking the cooperation between Zhejiang Financial College and China Soft International Science and Technology of Education Group as an example,this paper explores the path of talent training,and suggests strengthening school-enterprise cooperation,jointly developing practical training courses and broadening internship channels,so as to improve the quality of talent training and promote the integration of education and industry.

artificial intelligencetalent trainingschool-enterprise cooperationintegration of industry and education

王雪、陆薇

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浙江金融职业学院,浙江 杭州 310018

人工智能 人才培养 校企合作 产教融合

2025

湖北开放职业学院学报
湖北开放职业学院(原湖北函授大学)

湖北开放职业学院学报

影响因子:0.218
ISSN:2096-711X
年,卷(期):2025.38(10)