AI赋能的大数据开发实践课程改革研究——以《大数据系统开发实践》为例

Research on the Reform of the AI-Enabled Big Data Development Practice Course—A Case Study of “Practice of Big Data System Development”

摘要: 随着人工智能和大数据技术快速发展，大数据已成为国家战略重点。与其相关的高校大数据系统开发实验课程因知识面广、数据分析工具复杂、调试难等问题，使学生常陷入“知其然不知其所以然”的困境，且教师难以及时答疑，因此传统教学亟需创新，以适应新时代人才培养工作。本研究引入AI赋能辅助教学，通过更新实验指导书，加入AI问询技巧训练，培养学生主动提问与问题解决能力，并以定制化考核方法验证学习效果，构建人机协同学习模式，提升学生自主学习与工程实践能力。研究为大数据实践课程改革提供新思路与方法。

Abstract: With the rapid development of artificial intelligence and big data technologies, big data has become a national strategic priority. However, the related experimental courses on big data system development in colleges and universities face challenges such as a broad knowledge scope, complex data analysis tools, and difficult debugging, which often leave students falling into the dilemma of “knowing what but not why,” while teachers struggle to provide timely assistance. Traditional teaching methods urgently need innovation to meet the demands of talent cultivation in the new era. This study introduces AI-enabled assisted teaching by updating the experimental manual and incorporating AI inquiry skills training to cultivate students’ abilities in proactive questioning and problem-solving. Customized assessment methods are employed to evaluate learning outcomes, constructing a human-AI collaborative learning model that enhances students’ autonomous learning and engineering practice capabilities. The research offers new ideas and methods for reforming big data practical courses.