Web-based Bayesian tutoring system

被引：2
|
作者：
Krudysz, Gregory A. [1 ]
Li, Jenfeng Sam [1 ]
McClellan, James H. [1 ]
机构：
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
来源：
2006 IEEE 12TH DIGITAL SIGNAL PROCESSING WORKSHOP & 4TH IEEE SIGNAL PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2 | 2006年
关键词：
Intelligent Tutoring System; Bayesian nets; web-based learning tools;
D O I：
10.1109/DSPWS.2006.265452
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A number of Bayesian toolkits have been developed to learn from data through statistical inference. These toolkits are increasingly being applied in Intelligent Tutoring Systems (ITS) whose aim is to assist student learning. In this paper, we introduce a template for a web-based Bayesian driven ITS, which organizes course material, tests student understanding, and evaluates student performance to suggest a further plan of study. In addition, we provide guidelines for constructing a knowledge domain that will include meaningful problems that test all concepts being learned.
引用
收藏
页码：129 / 134
页数：6
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