人工智能赋能下数据库课程从孤立工具到系统核心的教学转型

Teaching Transformation of Database Courses Empowered by AI: From Isolated Tools to the Core of Systems

摘要: 数据库课程在计算机、电子信息等工科专业中普遍开设，但教学长期局限于数据库内部操作，而完整的全栈开发涉及前端、后端、系统设计等多门课程知识，单靠一门数据库课无法承载。针对这一结构性矛盾，本文提出人工智能赋能下数据库课程从“孤立工具”到“系统核心”的教学转型方案：以典型Web信息管理系统为贯穿载体，学生聚焦需求分析、数据库设计与数据流转链路理解，前端页面、后端接口等非数据库环节借助人工智能工具辅助生成，在有限学时内实现全链路贯通认知。教学实践表明，学生从“只会写SQL”转向“能讲清数据库在系统中的角色”，课程总体满意度达92.1%，为解决数据库课程的孤立性问题提供了可复制的实践路径。

Abstract: Database courses are widely offered for engineering majors such as computer science and electronic information. However, teaching has long been confined to internal operations of databases. A complete full-stack development involves knowledge from multiple courses including front-end, back-end and system design, which cannot be covered by a single database course. To address this structural contradiction, this paper proposes a teaching transformation scheme for AI-empowered database courses, shifting from regarding databases as “isolated tools” to treating them as the “core of systems”. Taking a typical Web information management system as the throughout carrier, students focus on requirement analysis, database design and understanding of data flow links. Non-database components such as front-end pages and back-end interfaces are generated with the assistance of AI tools, enabling students to acquire end-to-end systematic cognition within limited class hours. Teaching practices show that students have transitioned from “only being able to write SQL statements” to “being capable of clarifying the role of databases in a system”. The overall course satisfaction reaches 92.1%, offering a replicable practical pathway to resolve the isolation issue of database courses.