基于大数据与MOOC学习行为的教学辅助系统设计与研究  

Design and Research of Teaching Aid System Based on Big Data and MOOC Learning Behavior

作　　者：郑茵[1] ZHENG Yin(Jilin College of Electronic Information,Jinlin Jinlin 132021,China)

机构地区：[1]吉林电子信息职业技术学院,吉林吉林132021

出　　处：《信息与电脑》2021年第1期104-105,共2页Information & Computer

基　　金：吉林省职业院校创新创业教育教学指导委员会“基于大数据与MOOC学习行为的教学辅助系统设计与研究”(项目编号:CXCYHZW2020020)。

摘　　要：当前教学辅助系统存在教学混乱、作业无监督的现象,为此设计基于大数据与MOOC学习行为的教学辅助系统。硬件设计基于大数据与MOOC学习行为技术,对教学辅助系统进行设计;软件部分结合大数据技术针对课程辅助模块进行设计,对教学数据实施分项执行,利用MOOC学习行为技术设计作业模块,通过软硬件设计完成教学辅助系统。实验结果表明,设计的教学辅助系统能够显示作业的完成状况,并解决教学数据使用紊乱的问题。The current teaching assistant system has the phenomenon of teaching confusion and unsupervised homework.For this reason,a teaching assistant system based on big data and MOOC learning behavior is designed.The hardware design is based on big data and MOOC learning behavior technology to design the teaching assistance system;the software part combines the big data technology to design the course auxiliary module,implements the sub-item execution of the teaching data,and uses the MOOC learning behavior technology to design the homework module.The hardware design completes the teaching aid system.The experimental results show that the designed teaching aid system can display the completion status of homework and solve the problem of disordered teaching data usage.

关 键 词：大数据 MOOC 学习行为 辅助系统 辅助教学 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]