创新创业理论研究与实践 ›› 2024, Vol. 7 ›› Issue (23): 47-49.

• 教学革新 • 上一篇    下一篇

面向产教融合、科教融汇的高职深度学习课程教学内容研究

宋桂岭, 闾立新, 厉菲菲   

  1. 无锡科技职业学院 物联网与人工智能学院,江苏无锡 214029
  • 发布日期:2025-03-28
  • 作者简介:宋桂岭(1978—),男,满族,河北丰宁人,博士研究生,副教授,研究方向:计算机视觉、移动机器人,电子邮箱:sgl@wxsc.edu.cn。
  • 基金资助:
    2023年度江苏高校哲学社会科学研究一般项目“需求侧引导的高职产教融合模式研究”(2023SJYB0995)

Research on the Teaching Content of Deep Learning Courses in Higher Vocational Education for the Integration of Industry and Education, and the Integration of Science and Education

SONG Guiling, LYU Lixin, LI Feifei   

  1. School of Internet of Things and Artificial Intelligence, Wuxi Vocational College of Science and Technology, Wuxi Jiangsu, 214029, China
  • Published:2025-03-28

摘要: 随着人工智能技术的广泛应用,高职院校开始重视人工智能技术应用专业的建设。深度学习作为专业核心课程之一,在高职教学过程中面临着技术更新快、知识领域广泛、学习曲线陡峭等挑战。为了解决这些问题,该文从产教融合、科教融汇的视角出发,研究了将产业界的技术成果转化为深度学习教学资源时面临的问题,同时,以项目为导向,探索了深度学习课程内容的设计,并通过实际教学和产学研合作实践进行了验证。

关键词: 产教融合, 科教融汇, 人工智能技术应用专业, 深度学习, 项目导向, 教学内容

Abstract: With the widespread application of artificial intelligence technology, vocational colleges have begun to attach importance to the construction of artificial intelligence technology application majors. As one of the core courses in vocational education, deep learning faces challenges such as rapid technological updates, broad knowledge domains, and steep learning curves. In order to address these issues, this article explores the problems faced in transforming technological achievements from the industry into deep learning teaching resources from the perspectives of industry education integration and science education integration. At the same time, guided by projects, it explores the design of deep learning curriculum content and verifies it through practical teaching and industry university research cooperation practices.

Key words: Integration of industry and education, Integration of science and education, Artificial intelligence technology application major, Deep learning, Project orientation, Content of courses

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