Title :
Educational Web Mining Applications in Intelligent Web-Education Systems
Author_Institution :
Lab. of Informatization Res., Xian, China
Abstract :
Currently there is an increasing interest in educational web mining (EWM) and web-education systems (WES) is becoming a research hot spot. However, the lack of intelligent education service is one of the bottlenecks of applying WES. This paper analyzes briefly a few problems of existing WES and discusses the applying model of WES. According to the function requirements of intelligent WES (IWES), focusing on the design of models and algorithms of EWM, an improved architecture of IWES is proposed based on EWM and multi-agent. It is indicated that future research on IWES should be in accordance with learners´ characteristic of humanity and intelligent.
Keywords :
Internet; computer aided instruction; data mining; educational Web mining applications; intelligent WES; intelligent Web-education systems; intelligent education service; Algorithm design and analysis; Artificial intelligence; Data models; Databases; Education; Web mining; educational web mining; intelligent education service; multi-agent; web-education system;
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-1419-1
DOI :
10.1109/ICM.2011.18
