文本挖掘与智慧教育  

Text Mining and Smart Education

作　　者：吴大庆 郭向阳 马尽文[1] WU Daqing;GUO Xiangyang;MA Jinwen(Department of Information and Computing Science,School of Mathematical Sciences,Peking University,Beijing,China 100871)

机构地区：[1]北京大学数学科学学院信息与计算科学系,北京100871

出　　处：《数字教育》2020年第3期1-8,共8页Digital Education

摘　　要：随着互联网和移动通信技术的日益普及和成熟,教育行业正在向着信息化的方向快速发展,例如在线课堂、慕课等新的教学形式已改变了原有的教育形态。与此同时,人工智能技术的大量运用,使得教育信息化不再满足于形式的创新,而是更重视教育数据的采集和挖掘,提高教育的针对性和智能化,产生了所谓的智慧教育。实际上,智慧教育更多地体现在从教育相关的数据中挖掘到新的教育理念,学习到重要的模式与方法,与数据挖掘技术密切相关。本文首先介绍文本挖掘的理论与方法,并进一步讨论如何将其应用到智慧教育中,且以教育类新闻主题挖掘和在线课堂的智能化作为实例展示和证明了文本挖掘对智慧教育的发展能够起到至关重要的作用。With the growing popularity and maturity of Internet and mobile communication technology,the field of education is developing rapidly towards the direction of informatization,e.g.new teaching modes like online classroom,MOOCs and the like has changed the formal educational patterns.At the same time,the massive application of artificial intelligence technology makes the educational informatization not satisfy the innovation of forms any longer,but pay much more attention to the data acquisition and mining,thus improving the pertinency and intelligentization of education and producing the so-called smart education.Actually,smart education embodies in the mining of new educational concept from data related to education,learning of important modes and methods,and being closely related to data mining technology.This paper firstly introduces the theory and method of text mining,and further discusses how to apply it into smart education,and makes a presentation,taking the thematic mining of news of educational type and the intelligentization of online classroom as an example,and proves the essential importance of text mining to the development of smart education.

关 键 词：智慧教育 文本挖掘 机器学习 深度学习 主题发现 

分 类 号：G4[文化科学—教育学]