摘要
针对现有大学计算机基础课程实验内容技术有限、与战场脱节的不足,结合未来智能化战场以及课标中计算思维训练需求,提出了基于人工智能理论的综合实验方案。首先设计了以任务为驱动的综合实验项目;再以航空装备故障诊断实验为例,详细论述了基于案例实践的实验方案及过程;最后总结了教学实施的效果。教学实践表明,综合实验能够使学生掌握利用计算机技术与人工智能方法解决实际军事问题的流程,提高学生计算思维能力,并为计算机类实验内容建设提供可参考、可复制的实施案例。
In view of the limitation of experiment content, technology and separation from the battlefield, a comprehensive experiment scheme based on the theory of artificial intelligence is proposed in combination with the future intelligent battlefield and the demand of calculation thinking training in the curriculum standard. Firstly, a task-driven comprehensive experiment project is designed. Then, by taking the aviation equipment fault diagnosis experiment as an example, the paper discusses the experiment scheme and process based on case practice in detail, and finally summarizes the effect of teaching implementation. The teaching practice shows that the comprehensive experiment can help students to master the process of using computer technology and artificial intelligence to solve practical military problems, improve their ability of computing thinking and provide a reference and replicable implementation case for the construction of computer experiment content.
作者
刘凯
张立民
张兵强
LIU Kai;ZHANG Limin;ZHANG Bingqiang(Department of Aviation Foundation,Naval Aeronautical University,Yantai 264001,China;Institute of Information Fusion,Naval Aeronautical University,Yantai 264001,China)
出处
《实验技术与管理》
CAS
北大核心
2020年第4期196-200,237,共6页
Experimental Technology and Management
基金
国际自然科学基金重大研究计划(91538201)
泰山学者工程专项(ts201511020)。
关键词
人工智能
综合实验
任务驱动
案例教学
artificial intelligence
comprehensive experiment
task-driving
case teaching
