基于元学习推荐算法与CDIO的线上线下混合式教学系统设计

Design of Online and Offline Hybrid Teaching System Based on Meta-learning Recommendation Algorithm and CDIO

针对教学系统的网络传输时延高、CPU占用率高、触屏灵敏度低的问题,提出基于元学习推荐算法与CDIO的线上线下混合式教学系统。设定基于CDIO的线上线下混合式教学系统整体框架,再对框架中的各个功能模块进行具体分析、解释,对CDIO的线上线下混合式教学系统中的数据进行特征提取,利用元学习推荐算法分类提取到的特征,以此完成线上线下混合式教学系统设计。测试结果表明,利用该方法设计的线上线下混合式教学系统可以降低系统的网络传输时延、缩减CPU占用率、提高终端触屏灵敏度。

Aiming at the problems of high network transmission delay,high CPU occupancy rate and low touch screen sensitivity of teaching system,a hybrid online and offline teaching system based on meta learning recommendation algorithm and CDIO is proposed.We set the overall framework of online and offline hybrid teaching system based on CDIO,and then analyze and explain each functional module in the framework,extract features from the data of CDIO online and offline hybrid teaching system,and use meta learning recommendation algorithm to classify the extracted features,so as to complete the design of online and offline hybrid teaching system.The test results show that the online and offline hybrid teaching system designed by this method can reduce the network transmission delay of the system,reduce the CPU occupation rate,and improve the touch screen sensitivity of the terminal.