大数据背景下的个性化智能教学系统设计  

Design of personalized intelligent teaching system under background of big data

作　　者：许俨宁[1] XU Yanning(Tianjin Normal University,Tianjin 300387,China)

机构地区：[1]天津师范大学,天津300387

出　　处：《现代电子技术》2020年第13期180-182,186,共4页Modern Electronics Technique

摘　　要：针对传统智能教学系统反应时间慢的问题,设计一种大数据背景下的个性化智能教学系统。硬件部分使用CCD器件设计一种影像传感器,连接激光反馈装置,使用双核处理器,采用多触电摸框技术设计一体式高清多点触摸互动镜面装置,将镜面装置连接4个可捕捉的红外光摄像头,组成镜多点的触碰平台。使用大数据技术处理学生知识掌握情况,利用贝叶斯公式归纳教学数据,使用Java编程录入教学数据,完成软件部分的设计。实验结果表明:与两种传统智能教学系统相比,大数据背景下的个性化智能教学系统在实际操作使用时,系统的反应时间为0.4 s,系统反应时间更快,更适合投入到教学中使用。In view of the slow response of the traditional intelligent teaching systems,a personalized intelligent teaching system under the background of bid data is designed.In terms of the hardware,an image sensor is designed by the CCD(charge⁃coupled device),which is connected to a laser feedback device.A dual⁃core processor is adopted.The multi⁃touch frame technology is adopted to design an integrated HD multi⁃touch interactive mirror device,and the mirror device is connected with 4 capturable infrared cameras to form a mirror multi⁃touch platform.In terms of the software,the big data technology is used to deal with the problems in students′knowledge acquisition,the Bayesian formula is used to summarize the teaching data,and the Java programming is used to entering the teaching data.The experimental results show that,in comparison with the two traditional intelligent teaching systems,the personalized intelligent teaching system under the background of big data has a response time of 0.4 s,which is faster and more suitable to put into teaching.

关 键 词：大数据背景 个性化 智能教学系统 影像传感器 激光反馈装置 系统反应时间 

分 类 号：TN02-34[电子电信—物理电子学] TP181[自动化与计算机技术—控制理论与控制工程]