基于大数据平台的高校智慧教学模式应用研究  

Application of Wisdom Teaching Mode Based on Big Data Platform in Colleges and Universities

作　　者：黄晓武[1] 邱月[1] 胡胜红[1] Huang Xiaowu;Qiu Yue;Hu Shenghong(Hubei University of Economics,Wuhan 430205,Hubei,China)

机构地区：[1]湖北经济学院,湖北武汉430205

出　　处：《信息通信》2018年第5期54-55,共2页Information & Communications

基　　金：湖北经济学院2017年校级教育教学研究项目(2017042)

摘　　要：针对现有的教学模式存在的问题,构建了一个基于学校大数据平台的教学模式。通过采集各种和学生学习行为相关的数据,采用数据挖掘、学习分析、视觉表达等多种技术手段,让教师参与学生学习的整个过程,引导学生创建自适应的学习环境,预测其行为趋势并及时干预,为学生动态推荐适合他们的教学资源,从而实现智慧教学。To solve the problems existing in the existing teaching mode, a teaching model based on the school big data platform was constructed. Through the collection of various data related to students＇ learning behaviors, the author adopts various techniques such as data mining, learning analysis and visual expression to enable teachers to participate in the whole process of student learning and guide students to create an adaptive learning environment and predict their behavioral trends Timely intervention for students dynamically recommended for their teaching resources, in order to achieve wisdom teaching.

关 键 词：大数据 自适应 干预引擎 智慧教学 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]