创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (18): 13-18.

• 理论研究 • 上一篇    下一篇

基于关键能力的项目化学习评价的设计与应用——以惠州学院数据库系统课程学习为例

肖莉丹1, 索剑2, 高若晴3   

  1. 1.惠州学院 教学质量监测与评估中心,广东惠州 516007;
    2.惠州学院 计算机科学与工程学院,广东惠州 516007;
    3.惠州学院 外国语学院,广东惠州 516007
  • 出版日期:2025-09-25 发布日期:2025-11-18
  • 通讯作者: 索剑(1971—),男,陕西西安人,硕士研究生,副教授,研究方向:数据库技术应用、企业信智化,电子邮箱:378435271@qq.com。
  • 作者简介:肖莉丹(1984—),女,广东广州人,博士研究生,讲师,研究方向:高等教育管理、高校思想政治教育、课程思政。
  • 基金资助:
    广东省高等教育学会“十四五”规划2023年度高等教育研究课题“高校思政课学生学习质量评价模式研究”(23GYB48); 2023年惠州学院教学质量与教学改革工程建设项目“AI大模型场景下的数据库课程群教育教学创新探索” 2024年度惠州市哲学社会科学规划项目共建项目“人工智能赋能师范生语言学习策略研究”(HZSK2024GJ015)

Design and Application of Project Based Learning Evaluation Based on Key Abilities—Taking the Database System Course at Huizhou University as an Example

XIAO Lidan1, SUO Jian2, GAO Ruoqing3   

  1. 1. Teaching Quality Monitoring and Evaluation Center, Huizhou University, Huizhou Guangdong, 516007, China;
    2. School of Computer Science and Engineering, Huizhou University, Huizhou Guangdong, 516007, China;
    3. School of Foreign Languages, Huizhou University, Huizhou Guangdong, 516007, China
  • Online:2025-09-25 Published:2025-11-18

摘要: 该文以惠州学院数据库系统课程为例,探讨了基于关键能力的项目化学习评价体系的设计与应用;结合深度学习理念和工程认证要求,提炼出12项关键能力(如自主学习、沟通协作、方案设计等),并通过与企业合作构建真实项目案例库,将课程内容拆分为5个里程碑阶段推进。课程采用“知识—能力—素养”多维度评价模式,融合过程性评价、增值评价等方式,并开发智能平台,进行学习画像绘制与能力跟踪。实践表明:该评价体系有效提升了学生的综合能力,部分学生项目获得国家级竞赛奖项及创业投资,验证了其在促进深度学习与关键能力培养中的实效性。

关键词: 项目化学习评价, 关键能力, 深度学习, 数据库系统课程, 评价标准, 评价模式

Abstract: This article takes the database system course at Huizhou University as an example to explore the design and application of a project-based learning evaluation system based on key competencies; Based on the concept of deep learning and engineering certification requirements, 12 key competencies (such as self-learning, communication and collaboration, solution design, etc.) were extracted, and a real project case library was constructed through cooperation with enterprises. The course content was divided into 5 milestone stages for promotion. The course adopts a multi-dimensional evaluation model of “knowledge ability literacy”, integrating process evaluation, value-added evaluation and other methods, and developing an intelligent platform for learning portrait drawing and ability tracking. Practice has shown that this evaluation system effectively enhances students' comprehensive abilities, and some student projects have won national competition awards and venture capital, verifying its effectiveness in promoting deep learning and key ability cultivation.

Key words: Project-based learning evaluation, Key abilities, Deep learning, Database system course, Evaluation criteria, Evaluation mode

中图分类号: