AI赋能下的《数据库原理与应用》课程教学改革与实践

Teaching Reform and Practice in the “Database Principles and Applications” Course Empowered by AI

摘要: 针对传统的《数据库理论与应用》课程所存在的理论方面笼统且难懂、内容落后于产业需求以及学生实践能力有所欠缺等问题，文章以“人工智能赋能”作为核心的切入点，系统地探讨了该课程在课堂方面的教学改革以及实践路径。对课程知识模式进行重构，将大语言模型和向量数据库等AI前沿技术纳入传统关系型数据库课堂，以达到内容迭代更新的目的。教师通过智能课堂平台进行学情分析，对课堂教学方法进行创新，从而形成“AI辅佐答疑加个性化路径”的混合式课堂。在改革实践过程中，文章使用AI代码助手和自动化评测系统，用来提高学生处理复杂工程问题的能力。课堂实践结果表明，AI有助于提高学生学习兴趣和课堂参与度，并改善了实验项目完成质量，给人工智能时代计算机类专业课程数智化转型提供了有参考价值的模式。

Abstract: Addressing the issues inherent in the traditional “Database Theory and Applications” course—namely, its theoretical content being overly general and difficult to understand, its curriculum lagging behind industry demands, and students’ lack of practical skills—this paper takes “AI-enabled learning” as its core starting point to systematically explore teaching reforms and practical approaches for this course. By restructuring the course’s knowledge framework and incorporating cutting-edge AI technologies—such as large language models and vector databases—into traditional relational database teaching, the aim is to ensure the content is continuously updated. Lecturers utilise intelligent classroom platforms to analyse student learning progress and innovate teaching methods, thereby creating a blended learning environment characterised by “AI-assisted Q&A combined with personalised learning pathways”. During the reform process, this paper employs AI code assistants and automated assessment systems to enhance students’ ability to tackle complex engineering problems. Classroom practice results indicate that AI helps to increase students’ interest in learning and classroom engagement, whilst improving the quality of experimental project outcomes, thereby providing a valuable model for the digital and intelligent transformation of computer science courses in the era of artificial intelligence.