摘要
随着计算机和网络应用的广泛深入,网络教学成为教育领域的重要组成部分。当前,网络教学视频存在教师与学生之间交互性、实时性、反馈客观性等方面的缺陷。基于此,本文利用Hadoop大数据实现对学生观看视频全过程的行为监控、记录和反馈,客观地分析教学视频的重难点、学生的掌握情况等信息,辅助教学双方。
With the extensive application of computer and network, network teaching has become an important part of education. At present, online teaching videos have defects in interaction, real-time, and feedback objectivity between teachers and students.Based on this, this paper used Hadoop big data to implement behavior monitoring, recording and feedback on the entire process of watching videos by students, objectively analyzed the important and difficult points of the teaching video, the students′mastery, and other information to assist both sides in teaching.
作者
杨秉学
张至柔
刘俊龙
吴娟
YANG Bingxue;ZhANG Zhirou;LIU Junlong;WU Juan(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206)
出处
《河南科技》
2020年第8期37-39,共3页
Henan Science and Technology
关键词
大数据
网络视频教学
时间轴
用户行为监测与反馈
big data
online video teaching
timeline
user behavior monitoring and feedback