创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (9): 94-98.

• 教育改革与发展 • 上一篇    下一篇

以“专业+创新、需求+创业”为导向的人工智能专业实验课程体系建设

廖文喆, 李世杰, 刘斌   

  1. 河北工业大学 人工智能与数据科学学院,天津 300401
  • 出版日期:2025-05-10 发布日期:2025-08-25
  • 作者简介:廖文喆(1984—),男,江西遂川人,博士研究生,实验师,研究方向:脑机接口与数据挖掘。
  • 基金资助:
    2023河北省高校创新创业教育教学改革研究与实践项目“‘专业+创新,需求+创业’多元一体的人工智能专业实验课程体系教学模式探索与研究”(冀教高函〔2023〕86号-24)

Construction of the Experimental Course System for the Artificial Intelligence Major Oriented by “Professionalism + Innovation, Demand + Entrepreneurship”

LIAO Wenzhe, LI Shijie, LIU Bin   

  1. School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin, 300401, China
  • Online:2025-05-10 Published:2025-08-25

摘要: 人工智能技术的发展是当前的重大战略机遇,因此,要牢牢把握这一契机。目前,人工智能专业实验课程的设置存在与市场结合不足和学生创新驱动力不足的问题。因此,该文提出以“专业+创新、需求+创业”为导向的人工智能专业实验课程体系建设,通过课程内容更新与整合、课程体系架构设计,培养新时代创新创业人才,以满足社会发展需求。

关键词: 人工智能专业, 实验课程体系建设, 专业创新, 需求导向, 创业教育, 创新人才培养, 市场需求

Abstract: The development of artificial intelligence represents a significant strategic opportunity at present, and it is crucial to firmly seize this historical moment. Currently, there are issues in the setup of experimental courses for the artificial intelligence major, such as insufficient integration with the market and a lack of innovation motivation among students. Therefore, we propose the construction of an experimental course system for the artificial intelligence major oriented by“professionalism + innovation, demand + entrepreneurship”, which aims to cultivate innovative and entrepreneurial talents in the new era through the updating and integration of curriculum content and the design of curriculum system architecture, in order to meet the needs of social development.

Key words: Artificial intelligence major, Construction of the experimental course system, Professional innovation, Demand-orientation, Entrepreneurship education, Cultivation of innovative talents, Market demand

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