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基于供需矛盾分析的高校人工智能专业人才培养策略

The Training Strategy of Artificial Intelligence Professionals in Higher Education Institutions Based on the Analysis of the Contradiction Between Supply and Demand

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【作者】 茹宁; 王建鹏; 苏明;

【Author】 RU Ning;WANG Jian-peng;SU Ming;Nankai University;

【机构】 南开大学;

【摘要】 根据人工智能产业需求侧与供给侧的大数据调查和问卷调查的对比分析,发现目前我国高校人工智能专业人才供给与市场需求之间存在人才培养质量不高、有效供给不足、供需结构失衡、地域分布不均等矛盾问题。针对问题的解决,从政府、高等教育系统、高校三个层面提出围绕产业群布局学科专业群、建立均衡多样的人才培养体系、扩大"AI+X"专业布局、探索校企"无缝对接"式人才培养、建立外延型跨学科组织五项改革策略。

【Abstract】 According to the comparative analysis of big data and questionnaires surveys on the demand side and the supply side of the artificial intelligence industry, it is found that there are several problems, such as low quality training, insufficient effective supply, unbalanced supply and demand structure, and uneven geographical distribution between the supply of artificial intelligence professionals in China’s higher institutions and the market demand. To solve these problems, five reform measures are proposed at the three levels of the government, higher education system, and universities. Including arranging discipline specialty groups around the industrial clusters, establishing a balanced and diverse talent training system, expanding the “AI+X” professional layout, exploring the “seamless docking” of school-enterprise talent training and establish extended interdisciplinary organizations.

【基金】 教育部人文社会科学研究专项任务重点项目“人工智能与未来高等教育发展战略研究”(19JDGC003)
  • 【文献出处】 高等职业教育探索 ,Higher Vocational Education Exploration , 编辑部邮箱 ,2021年06期
  • 【分类号】TP18-4;G642
  • 【被引频次】1
  • 【下载频次】601
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