摘要
通过教育大数据的在线教育适应性学习模型的构建,可以准确了解和掌握学生的学习情况、学习规律,并能根据每一位学生的实际需求为其提供适应性的学习方法。综述了教育大数据的概念和特点,分析了教育大数据之“大”并不是表面的“大容量”,而是教育大数据的在线教育适应性学习模型的全面性和“大价值”。基于教育大数据,分别从不同的维度描述了适应性学习模型的构建方法。研究结果表明:基于教育大数据的在线教育适应性学习模型构建及应用,可以为学生提供科学合理的学习路径,可以准确反馈学生的学习效果,进而为学生提供个性化的服务,更有利于促进教师的教和学生的学。
Through the construction of online education adaptive learning model on the basis of education big data,we can accurately understand and master students’learning situation and learning rules,and provide adaptive learning methods for each student according to their actual needs.This paper summarizes the concept and characteristics of education big data,and analyzes that the“big”of education big data is not a superficial“large capacity”,but the comprehensiveness and“great value”of online education adaptive learning model of education big data.At the same time,based on the education big data,the methods of constructing adaptive learning models are described from different dimensions.The research results show that the construction and application of online education adaptive learning model based on education big data can provide students with scientific and reasonable learning paths,accurately feed back students’learning effects,and then provide personalized services for students,which is more conducive to promoting teachers’teaching and students’learning.
作者
周宏伟
Zhou Hongwei(Graduate School,Huaqiao University,Xiamen 361021,China)
出处
《继续教育研究》
2023年第3期110-114,共5页
Continuing Education Research
关键词
教育大数据
在线教育适应性学习
模型
应用
Education big data
Online education adaptive learning
Model
Application