AI驱动的数据库教学新范式——基于提示词工程的实践

AI-Driven Database Education: A New Paradigm with Prompt Engineering

摘要: 随着人工智能技术的迅猛发展，高等教育正深入推进数字化转型。数据库作为计算机科学与技术、人工智能、信息管理等相关专业的核心或必修课程，在培养学生数据管理思维、分析与应用能力方面具有不可替代的作用。本文结合人工智能(Artificial Intelligence, AI)技术发展背景，以地理信息科学(Geographic Information Science, GIS)专业的《数据库原理与技术》课程为例，分析了该课程在教学中存在的突出问题，提出了以大语言模型为驱动的，基于提示词工程的以课程体系重构、教学资源开发与智能评价机制为核心的教学改革路径，旨在提升学生的综合实践能力与创新思维，适应智慧地理时代对高素质GIS人才的需求。

Abstract: With the rapid development of artificial intelligence (AI) technologies, higher education is undergoing a deep digital transformation. As a core or compulsory course in majors such as computer science and technology, artificial intelligence, and information management, database courses play an irreplaceable role in cultivating students’ abilities in data management, analysis, and application. Against the backdrop of AI development, this paper takes the course “Principles and Technology of Databases” offered in the Geographic Information Science (GIS) program as an example to analyze prominent problems in current teaching practices. It further proposes a teaching reform pathway driven by large language models and based on prompt engineering, focusing on curriculum system reconstruction, teaching resource development, and intelligent assessment mechanisms. The aim is to enhance students’ comprehensive practical capabilities and innovative thinking, thereby meeting the demand for high-quality GIS professionals in the era of smart geography.