摘要
回溯人工智能自适应教育发展历程,归纳数据挖掘相关概念,并结合教育学、心理学理论,利用数据挖掘技术完成个体学习风格与最优学习策略的匹配,定制个性化学习方案。
The development of artificial intelligence in adaptive education was reviewed,and the concepts related to data mining were summarized.With the combination of pedagogy and psychology theory with data mining technology,the matching of individual learning styles and optimal learning strategies was completed to customize personalized learning programs.
作者
罗纯
杨晗
李海雯
纪晨然
LUO Chun;YANG Han;LI Haiwen;JI Chenran(School of Sciences,Shanghai Institute of Technology,Shanghai 201418,China;JFK Market Consulting Co.,Ltd.,Shanghai 200040,China;School of Biological Science and Technology,University of Jinan,Jinan 250022,China)
出处
《应用技术学报》
2020年第3期290-295,共6页
Journal of Technology
基金
教育部产学合作协同育人项目(201802112063),上海添橙投资管理有限公司项目(J2019-341)资助。
关键词
人工智能
自适应教育
数据挖掘
学习风格
学习策略
回归分析
artificial intelligence
adaptive education
data mining
learning style
learning strategy
linear regression
