创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (16): 178-180.

• 创业实践 • 上一篇    下一篇

“双创”背景下竞赛驱动的人才培养模式探索

姚道金, 王朝兵, 覃青霞, 刘家阳, 董文涛   

  1. 华东交通大学,江西南昌 330013
  • 出版日期:2025-08-25 发布日期:2025-11-18
  • 通讯作者: 王朝兵(1983—),男,江西九江人,博士研究生,副教授,研究方向:教学改革,电子邮箱:chaobing@163.com。
  • 作者简介:姚道金(1990—),男,江西九江人,博士研究生,教授,研究方向:课程改革。
  • 基金资助:
    江西省高等学校教学改革研究课题“‘双创’背景下科创竞赛驱动的机械专业卓越人才培养模式改革与实践”(JXJG-21-5-43); 江西省学位与研究生教育教学改革研究项目“制造强国战略下面向创新型人才需求的课堂教学改革研究——以现代机械制造工程为例”(JXYJG-2022-107)

Exploration of Competition Driven Talent Cultivation Mode under the Background of “Double Innovation”

YAO Daojin, WANG Chaobing, QIN Qingxia, LIU Jiayang, DONG Wentao   

  1. East China Jiaotong University, Nanchang Jiangxi, 330013, China
  • Online:2025-08-25 Published:2025-11-18

摘要: 在“双创”背景下,传统的人才培养模式面临新的挑战与机遇,学科竞赛已逐渐成为“双创”教育中提高大学生综合素质和培养其创新精神的重要载体。该文聚焦竞赛驱动模式在学生培养中的应用探索:首先,探讨竞赛驱动的人才培养模式现状,分析目前取得的效果和存在的不足;其次,探索优化竞赛驱动人才培养模式的策略;最后,分析竞赛驱动人才培养模式的预期效果。研究表明:竞赛驱动的人才培养模式有助于提升学生的综合素质,更好地适应“双创”发展需求。

关键词: “双创”, 学科竞赛, 学生培养, 能力训练, 综合素质, 模式探索

Abstract: In the context of the “double innovation”, the traditional talent cultivation model is facing new challenges and opportunities, and subject competitions have gradually become an important carrier for improving the comprehensive quality of college students and cultivating innovative spirit in “double innovation” education. This paper focuses on the exploration of the application of competition driven model in student training. First, it discusses the current situation of competition driven talent training model, analyzes the current results and shortcomings; secondly, explore strategies to optimize the competition driven talent cultivation model; finally, analyze the expected effects of the competition driven talent cultivation model. Research has shown that a competition driven talent cultivation model can help improve students'comprehensive quality and better adapt to the development needs of “double innovation”.

Key words: Entrepreneurship and innovation, Subject competitions, Student development, Ability training, Comprehensive quality, Pattern exploration

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