生成式AI辅助《数据库原理及应用》翻转课堂教学改革与实践——以教育数据管理项目为例

Generative AI-Assisted Flipped Classroom Teaching Reform and Practice in “Database Principles and Applications”—A Case Study of Educational Data Management Projects

摘要: 针对《数据库原理及应用》课程中存在的理论知识抽象、实践任务碎片化、学生自主学习能力不足和教学评价单一等问题，本文结合应用型本科院校计算机类课程教学实际，探索生成式AI辅助翻转课堂的教学改革路径。研究以教育数据管理项目为载体，将生成式AI引入课前预习、课堂探究、SQL纠错、数据库设计和课后反馈等环节，推动学生由被动接受知识转向主动建构知识。实践表明，该模式有助于提升学生学习兴趣、SQL应用能力、数据库设计能力和项目实践能力，同时增强学生对AI工具规范使用与数据安全的认识。研究可为生成式AI赋能计算机类课程教学改革提供参考。

Abstract: Aiming at the problems in the course of Database Principles and Applications, such as abstract theoretical knowledge, fragmented practical tasks, insufficient autonomous learning ability of students, and single teaching evaluation, this paper explores a teaching reform path of a flipped classroom assisted by generative AI based on the teaching practice of computer-related courses in application-oriented undergraduate universities. Taking the educational data management project as the carrier, generative AI is introduced into pre-class preview, classroom inquiry, SQL error correction, database design, and after-class feedback, so as to promote students’ transformation from passive knowledge reception to active knowledge construction. Practice shows that this model helps improve students’ learning interest, SQL application ability, database design ability, and project practice ability. Meanwhile, it also enhances students’ awareness of the standardized use of AI tools and data security. This study can provide a reference for the teaching reform of computer-related courses empowered by generative AI.