面向轨道交通的人工智能课程教学案例库建设与实践

Construction and practice of teaching case database of Artificial Intelligence course for rail transit

在遵循教学案例库设计基本原则的基础上,结合轨道交通领域,进行了集前沿性、创新性和实用性为一体的人工智能课程教学案例库建设。通过对3种不同类型的典型案例的深入分析,提出了案例实施的具体思路和举措。采用双循环、动态反馈模式对案例库进行改进。该模式的内部循环用以制定案例教学效果的评价要素及保障措施,外部循环用以跟踪学生学习效果并反馈,从而实现案例教学内容完善及教学过程监控。从实践效果上看,案例库的教学改革提高了教学质量,培养了面向轨道交通行业具有创新能力的研究人才。

On the basis of following the basic principles of the design of teaching case database and in combination with the field of rail transit, the construction of teaching case database of the Artificial Intelligence course, which integrates frontier, innovation and practicability, is carried out. Through the in-depth analysis of three different types of typical cases, specific ideas and measures for case implementation are put forward. The case database is improved by using the double-loop and dynamic feedback model. The internal cycle of the model is used to formulate the evaluation elements and guarantee measures of case teaching effect, and the external cycle is used to track the students’ learning effect and feedback so as to realize the perfection of case teaching content and the monitoring of teaching process. From the practical effect, the teaching reform of case database has improved the teaching quality and trained innovative research talents for rail transit industry.