大数据背景下个性化学习实施系统的构建策略  

Strategies for the Construction of Personalized Learning Implementation System in the Context of Big Data

作　　者：祝旭[1] 谭韶生[1] ZHU Xu;TAN Shaosheng(Hunan Industry Polytechnic,Changsha Hunan 410208,China)

机构地区：[1]湖南工业职业技术学院,湖南长沙410208

出　　处：《信息与电脑》2021年第13期242-245,共4页Information & Computer

基　　金：教育部职业院校信息化教学指导委员会信息化教学研究项目“基于大数据分析的统合个人建模与个性化教育研究”(项目编号:2018LXA0073)。

摘　　要：笔者以高职类专科学生为研究对象,依托大数据等信息技术建立个性化学习实施系统,为教师和学生提供多元化的"教"与"学"双向选择,实现教学质量和人才培养的升级,能够让学生在自主学习过程中展现个性化特质,让教师的教学过程更具有针对性。首先,梳理和分析有关"基于大数据的个性化学习"的研究成果,构建理论框架;其次,探索大数据背景下个性化学习方式,主要涉及学习课程、学习时间和学习环境3个维度;最后,基于上述3个维度,借助大数据抓取、挖掘和分析技术,提出构建个性化学习实施系统的具体策略。The author takes vocational college students as the research object,relies on big data and other information technology to establish personalized learning implementation system,provides diversified"teaching"and"learning"two-way choice for teachers and students,realizes the upgrading of teaching quality and talent training,enables students to show personalized characteristics in the process of autonomous learning,and makes teachers’teaching process more targeted.Firstly,it combs and analyzes the research results of"personalized learning based on big data"and constructs a theoretical framework;Secondly,it explores the personalized learning mode under the background of big data,which mainly involves three dimensions:learning course,learning time and learning environment;Finally,based on the above three dimensions,with the help of big data capture,mining and analysis technology,the specific strategies of constructing personalized learning implementation system are proposed.

关 键 词：大数据分析 个性化学习系统 理论模型 构建策略 

分 类 号：G434[文化科学—教育学]