智能体赋能大数据专业课程深度开发的创新实践

Innovative Practice of Empowering Big Data Professional Courses with Intelligent Agents for In-Depth Development

摘要: 随着人工智能技术的快速发展，智能体正加速融入教育教学场景，为专业课程教学改革与课程深度开发提供了新的技术路径。当前大数据专业课程教学中存在课程内容更新滞后、实践教学支撑不足、个性化指导不强以及教学评价反馈不够及时等问题，难以有效适应新工科背景下对学生数据思维、工程实践能力和综合应用能力的培养要求。在国家教育数字化战略行动持续推进的政策下，本文围绕智能体赋能大数据专业课程深度开发这一主题，立足大数据专业课程教学实际，构建面向教学全过程的课程智能体支撑体系，并从课程内容拓展、实验项目设计、学习支持服务、教学过程优化与评价反馈改进等方面展开实践探索，形成智能体支撑下的大数据专业课程深度开发路径。

Abstract: With the rapid development of artificial intelligence technology, intelligent agents are accelerating their integration into educational and teaching scenarios, providing a new technological path for the reform and in-depth development of professional courses. Current issues in big data professional course teaching include lagging content updates, insufficient practical teaching support, weak personalized guidance, and delayed teaching evaluation feedback, making it difficult to effectively adapt to the requirements of cultivating students’ data thinking, engineering practice ability, and comprehensive application ability in the context of the new engineering paradigm. Under the policy of continuously promoting the national digital education strategy, this paper focuses on the theme of intelligent agents empowering the in-depth development of big data professional courses. Based on the actual situation of big data professional course teaching, it constructs a course intelligent agent support system that covers the entire teaching process. It explores practices from aspects such as course content expansion, experimental project design, learning support services, teaching process optimization, and evaluation feedback improvement, forming a path for the in-depth development of big data professional courses supported by intelligent agents.