基于贝叶斯网络模型的M-Learning移动教育平台的学情分析研究  

Learning Situation Study and Analysis of the M-Learning Mobile Education Platform Based on Bayesian Network Model

作　　者：张婷[1] 陈波红[1] Zhang Ting;Chen Bohong

机构地区：[1]广西民族大学相思湖学院,广西南宁530023

出　　处：《科教文汇》2018年第7期29-31,共3页Journal of Science and Education

基　　金：2016年度广西高等教育本科教学改革工程项目;基于移动学习终端的翻转课堂模式研究(基金编号:2016JGB486)

摘　　要：要拥有一次教育信息化的机遇,那么移动互联网和自带设备则是一次重要的机缘,它不仅可以激起学生们向往学习的动力,还能激起正处于一线教学的教师们对于应用的热情。利用教育云平台辅助的M-Lear ni ng教学模式,能让学生真正成为学习的主体。本文探讨该模式下的数字媒体技术专业教学改革效果,从学生学习态度、学习效果等方面收集数据并进行数据分析,通过贝叶斯网络模型,对学生的学情进行分析和预测,为下一步的教学提供决策支持。The mobile Internet and its own equipment is an important opportunity of information-based education.It not only can arouse students'motivation to learn,but also can arouse the teaching enthusiasm of teachers.The use of the educational cloud platform-assisted M-Learning teaching mode can make students truly become the main body of learning.This article explores the teaching reform effect of digital media technology specialty in this mode,collects and analyzes data from students'learning attitudes and learning effects,and analyzes and predicts students'learning situation through Bayesian network model,in order to provide decision support for the next step of teaching.

关 键 词：翻转课堂 教育云平台 移动学习端 贝叶斯网络模型 

分 类 号：G642[文化科学—高等教育学]