大数据背景下学习评估方法分析  

Analysis and Evaluation Methods of Learning Based on Big Date

作　　者：王传根 吴昊[2] 刘路路[2] 

机构地区：[1]舒城县柏林乡中心校,安徽六安231382 [2]合肥师范学院计算机学院,安徽合肥230601

出　　处：《教育教学论坛》2017年第42期213-215,共3页Education And Teaching Forum

基　　金：安徽省质量工程教学研究重点项目(2015jyxm271);合肥师范学院教学研究项目(2013hx07)

摘　　要：随着大数据时代的到来,对当前教学、学习考核思维模式都有了新的发展需求,文章探讨了当前教育大数据的存储方式,如何对大数据进行挖掘、提炼进而分析教育大数据。这些方法对教师来说可以提高教学质量、掌握学习者的学习特征,从而针对不同的学习者给出需要的教学内容和形式,从而提高学习效率。With the advent of the era of big data,To the current teaching and learning evaluation mode of thinking, there need new demand for development. Firstly,we analysis the storage mode of the education big data currently,then to mining and refining educational data,and lastly,we can analysis education big data. For teacher,these methods can improve the teaching quality,master the learning characteristics of learners,according to the different needs of learners are the teaching content and form,so as to improve the learning efficiency.

关 键 词：大数据 数据挖掘 数据分析 大数据存储 

分 类 号：G434[文化科学—教育学]