AIWIRT: An adaptive and intelligent Web information retrieval tool for web-based learning

被引：0
|
作者：
Li, LZ [1 ]
Liu, YH [1 ]
Zhang, X [1 ]
Zhang, W [1 ]
机构：
[1] Texas A&M Univ, Corpus Christi, TX 78412 USA
来源：
APPLICATIONS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN EDUCATION AND TRAINING | 2004年
关键词：
Web-based learning; information retrieval; machine learning; Web document annotation; meta search;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the paper, we propose and develop an adaptive and intelligent Web information retrieval tool (AIWIRT) which search the relevant information on the Internet to assist students' Web-based active teaming. More specifically, AIWIRT is built upon information retrieval technology, neural network, reinforcement, and symbolic machine teaming methods. In AIWIRT, Students' teaming characteristics, background, and teaming goal are used to create queries, then the retrieved web documents are parsed, presented, and navigate in the most appropriate way to support student-centered, self-paced, and highly interactive learning.
引用
收藏
页码：278 / 283
页数：6
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