交通大数据线上线下混合一流课程建设探讨

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关键词：交通大数据；混合教学模式；实践应用教育理念；项目驱动学习；课程创新

中图分类号：G642     文献标志码：A          文章编号：2096-000X（2025）17-0035-05

Abstract： In response to the needs and challenges in traffic big data education， this paper explores the application and practice of a blended online-offline teaching mode in Traffic Big Data course. Through analyzing existing courses domestically and internationally， key deficiencies in teaching methods and resource integration were identified， leading to the design of a new course that integrates various teaching strategies. This course framework emphasizes the importance of practical application， utilizing case studies， project-driven and interactive learning methods， while maintaining the flexibility and timeliness of content to adapt to the rapid development of the field. The results demonstrate that the new course significantly enhances students' engagement and interaction. By introducing real-life case studies and diverse assessment strategies， the course effectively improves teaching quality and students' comprehensive abilities. The development of this new course provides a novel teaching model and content design approach for traffic big data education， offering fresh perspectives and practical experiences for policy formulation and academic exchange. This innovative course design showcases the potential of closely integrating theory and practice， providing an effective pathway to cultivate high-quality professionals capable of adapting to the rapidly changing society and industry demands.

Keywords： Transportation Big Data; blended teaching mode; practical application; project-based learning; course innovation

随着信息技术的迅速发展和大数据时代的来临，交通领域经历着前所未有的变革，特别在教育领域，对于交通大数据的知识和技能需求迅速增长[1]。（剩余6486字）