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“教—练—研—赛”动态融合的人工智能导论实训体系
A dynamic integration of "teaching-training-research-competition" in the practical training system for introduction to artificial intelligence
【摘要】 针对当前人工智能导论课程存在的内容更新缓慢、实践环节薄弱、跨学科协同不足等问题,以道路病害图像智能检测为实例,提出动态融合与跨学科协同的人工智能导论课程实训体系。通过“教—练—研—赛”多层递进式任务链设计以及双轨制教学组织,实现真实场景工程闭环验证。实践证明,该体系提升了学生的工程实践能力和跨学科协作水平。
【Abstract】 In response to the current issues in Introduction to Artificial Intelligence courses,such as slow content updates,weak practical components,and insufficient interdisciplinary collaboration,this paper proposes a practical training system based on dynamic integration and interdisciplinary collaboration,using road distress image detection as a case study.Through a multi-level progressive task chain design of "Teaching-Training-Research-Competition" and a dual-track teaching organization,closed-loop validation in real engineering scenarios is achieved.Practice has demonstrated that this system enhances students’ engineering practical abilities and interdisciplinary collaboration skills.
【Key words】 introduction to artificial intelligence; practical training system; interdisciplinary collaboration; dynamic integration design; road distress detection;
- 【文献出处】 计算机教育 ,Computer Education , 编辑部邮箱 ,2026年06期
- 【分类号】G642;TP18-4
- 【下载频次】61