大数据视阈下高职学生个性化学习课堂教学系统顶层架构研究  

Top-level Architecture Research of Personalized Learning Classroom Teaching System for Higher Vocational College Students from the Perspective of Big Data

作　　者：祝旭[1] 文必正 ZHU Xu;WEN Bizheng(Hunan Industry Polytechnic,Changsha 410208,Hunan;Hunan Academy of Social Sciences,Changsha 410003,Hunan)

机构地区：[1]湖南工业职业技术学院,湖南长沙410208 [2]湖南省社会科学院,湖南长沙410003

出　　处：《湖南工业职业技术学院学报》2023年第4期136-140,共5页Journal of Hunan Industry Polytechnic

基　　金：2020年度湖南省社会科学成果评审委员会一般资助项目“大数据视阈下高职学生个性化学习课堂教学系统构建”(项目编号:XSP20YBZ149)。

摘　　要：大数据环境展现出全新课堂教学形态,驱动和赋能个性化学习以激发学生自主学习能力,为高职院校促进学生全面发展提供新思路。为了构建高职学生个性化学习课堂教学系统,需对其进行顶层架构分析,帮助教师和学生厘清“教”与“学”的整体思路。首先,研究通过分析个性化学习内涵,明确大数据视阈下个性化学习的必要性;其次,界定课堂教学系统顶层架构的概念和功能,建立高职学生个性化学习底层模型,从个性化环境创设、个性化学习导入、个性化知识交流三个方面进行高职学生个性化学习课堂教学系统顶层架构,为后续构建课堂系统提供先导性思路框架。The big data environment presents a new form of classroom teaching,driving and empowering personalized learning to stimulate students'autonomous learning ability,providing new ideas for promoting students'comprehensive development in vocational colleges.In order to construct a personalized learning classroom teaching system for vocational college students,it is necessary to analyze its top-level architecture,help teachers and students clarify the overall ideas of"teaching"and"learning".Firstly,by analyzing the connotation of personalized learning,the necessity of personalized learning from the perspective of big data is clarified.Secondly,the concept and functions of the top-level architecture of the classroom teaching system are defined,and a bottom-up model of personalized learning for vocational college students is established.The top-level architecture of the personalized learning classroom teaching system for vocational college students is analyzed from three aspects:personalized environment creation,personalized learning introduction,and personalized knowledge communication,providing a leading idea framework for the subsequent construction of the classroom system.

关 键 词：大数据 高职 个性化学习 课堂教学系统 顶层架构 

分 类 号：G712[文化科学—职业技术教育学]