创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (4): 4-6.

• 理论研究 • 上一篇    下一篇

创新创业教育课程增值评价体系构建与实践研究

黄培佳1, 赖坤妍1, 黄小江2, 吴滢1   

  1. 1.广东财贸职业学院,广东清远 511500;
    2.广州市白云区星悦实验学校,广东广州 510080
  • 出版日期:2026-02-25 发布日期:2026-07-01
  • 作者简介:黄培佳(1994—),女,广东揭阳人,硕士研究生,讲师,研究方向:创新创业教育、产教融合、教学管理。
  • 基金资助:
    2023年度广东省教育科学规划课题(高等教育专项)“增值理念视域下高职创新创业成绩评价体系构建研究”(2023GXJK811); 2024年度教育科学规划项目(高等教育专项)“基于社会网络理论的高职创新创业教育课堂精细管理应用研究”(2024GXJK1172); 2024年广东财贸职业学院教育教学改革研究与实践项目“高职院校大学生创新创业能力增值评价体系的构建与实证研究”(2024ZLGCJG19); 2025年度广东财贸职业学院教学质量与教学改革工程项目“产教融合驱动的高职双创育人双循环模式:课程项目孵化到成果转化的路径研究”(2025ZLGCJG12)

Construction and Practice Research on the Value-Added Evaluation System for Innovation and Entrepreneurship Education Courses

HUANG Peijia1, LAI Kunyan1, HUANG Xiaojiang2, WU Ying1   

  1. 1. Guangdong Finance and Trade Vocational College, Qingyuan Guangdong, 511500, China;
    2. Xingyue Experimental School, Baiyun District, Guangzhou Guangdong, 510080, China
  • Online:2026-02-25 Published:2026-07-01

摘要: 增值性评价通过追踪学生的进步幅度,实现了教育评价从静态结果评判向动态发展激励的根本性转变。该文以高职院校创新创业教育课程为例,通过建立涵盖知识理解、实践技能、职业素养和拓展成果的多维指标框架,探索从单一评分到多维赋能、从终结判断到过程追踪的评价新范式。实践表明:该体系有效激发了学生主动建构的学习潜能,赋能教师实现精准引导的教学优化。

关键词: 增值评价, 创新创业, 高职院校, 课程评价, 数据驱动, 过程性评价

Abstract: Value-added assessment has fundamentally transformed educational evaluation from static result assessment to dynamic development incentives by tracking students'progress. Taking the innovation and entrepreneurship education course in higher vocational colleges as an example, a multi-dimensional indicator framework covering knowledge understanding, practical skills, professional qualities, and extension achievements is established to explore a new evaluation paradigm from single scoring to multi-dimensional empowerment and from terminal judgment to process tracking. Practice has shown that this system effectively stimulates students'learning potential of active construction and empowers teachers to achieve teaching optimization of precise guidance.

Key words: Value-added assessment, Innovation and entrepreneurship, Higher vocational colleges, Course evaluation, Data-driven, Process evaluation

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