基于ZigBee无线传感器网络的实验室智能教学系统

摘要

It is difficult to analyze students’ score because of lacking recorded data, which will cause high costs in practical hands-on training of education. To address this problem, an intelligent tutoring system based on wireless sensor networks with ZigBee is designed. Firstly, nodes of WSN based on embedded operating system TinyOS are designed. Then, collector and coordinator are designed. Finally, experiments are done on 80 students with designed system in this paper. Experimental and analysis results show that a learning environment where wireless sensor networks provide a significant degree of support during laboratory sessions, student performance had significantly improved, and this has been proven evidently for the students in the low-achievement group when being compared to the results delivered by the students in the high-achievement group.%针对教育中由于缺乏记录数据而无法分析学生成绩导致在动手能力经验培养上花费太高的问题，设计了一种基于ZigBee无线传感网络的实验室智能教学系统。首先，基于嵌入式操作系统TinyOS设计了无线传感网络节点；然后，设计了采集仪和协调器；最后，利用本文设计的系统对80名学生进行了实验，实验及分析结果表明，无线传感器网络学习环境明显有助于实验课程，学生成绩有了明显提高，相比高分组学生，低分组学生的成绩提高更为明显。