创新创业理论研究与实践 ›› 2021, Vol. 4 ›› Issue (1): 187-190.

• 创业实践 • 上一篇    下一篇

多目标融合的计算机类本科专业创新创业人才培养模式研究与实践

胡德昆, 易发胜, 李立, 陈晓丹, 张君雁, 赵丽琴   

  1. 成都大学计算机学院,四川成都 610106
  • 出版日期:2021-01-10 发布日期:2021-09-07
  • 作者简介:胡德昆(1974-),男,四川冕宁人,博士,副教授,研究方向:智能视觉和大数据应用研究。
  • 基金资助:
    四川省2018-2020年高等教育人才培养质量和教学改革项目“深度融合人工智能技术的创新创业型人才培养模式研究与实践”(课题编号:JG 2018-782)的研究成果,课题主持人:胡德昆

Research and Practice on the Training Mode of Innovative and Entrepreneurial Talents for Computer Undergraduates based on Multi-objective Integration

HU Dekun, YI Fasheng, LI Li, CHEN Xiaodan, ZHANG Junyan, ZHAO Liqin   

  1. The College of Computer,Chengdu University, Chengdu Sichuan,610106, China
  • Online:2021-01-10 Published:2021-09-07

摘要: 人工智能技术的快速发展在社会生活的各个领域产生了越来越多的应用创新需求,为高校计算机本科专业“双创”人才培养提供了良好契机,同时也对高校人才培养模式提出了新的挑战。该文在深入分析当前高校计算机专业人才培养方案、创新创业人才培养模式和学科竞赛的现状与关系的基础上,提出了将人工智能技术融入高校计算机本科专业课程教学过程,利用人工智能技术进行项目技术创新,以“双创”工作室创新项目研究和应用开发推动高校“双创”人才培养,并支撑高校学科竞赛的多目标驱动人才培养模式。近三年的实践结果表明,此模式不仅可以减轻学生学习负担、提升专业技能,还能显著提高学生的创新能力、创业能力和就业能力,为毕业生提供更多的发展方向和机会。

关键词: 人工智能+, 创新创业, 项目驱动, 学科竞赛

Abstract: The rapid development of artificial intelligence technology has generated more and more application innovation needs in various fields of social life, providing a good opportunity for the training of undergraduate computer majors in colleges and universities, and it also poses new challenges to the talent training model of colleges and universities. Based on the fully analysis of the current situation and relationship of the college computer professional talent training plan, innovative and entrepreneurial talent training mode, and subject competition, this paper proposes to integrate artificial intelligence technology into the teaching process of college computer undergraduate professional courses, and use artificial intelligence technology to carry out project technology, promote the training of dual innovation talents in colleges and universities through the research and application development of innovation projects of dual innovation studios, and support the Multi-objective-driven talent training model of college discipline competitions. The practical results of the past three years show that this model can not only lighten students' study burden and improve professional skills, but also significantly improve students' innovation ability, entrepreneurship and employ-ability, and provide more development directions and opportunities for graduates.

Key words: Artificial intelligence plus, Innovation and entrepreneurship, Project-driven, Subject competition

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