Agent based student modeling in distributed CBR based intelligent Tutoring system

被引：0

作者：

Rishi, O. P. ^{[1
]}

Govi, Rekba ^{[2
]}

Sinha, Madbavi ^{[2
]}

机构：

[1] Birla Inst Technol, Extens Ctr Jaipur, BISR Campus,27 Malviya Ind Area, Jaipur 302017, Rajasthan, India

[2] Apaji Inst Math & Appl Comp Technol, Banasthali 304022, Rajasthan, India

来源：

WCECS 2007: WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE | 2007年

关键词：

student modeling; intelligent tutoring system (ITS); distributed system; intelligent agent; CBR;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Student modeling is a key component in any Intelligent Tutoring System (ITS). In today's distributed computing environment, the tutoring system can take advantage of networking to utilize the model for a student for students from other similar group. In the present paper we present a methodology where using Case Based Reasoning (CBR), the ITS provides student modeling for online learning in a distributed environment with the help of agents. The paper describes the approach, the architecture, and the agent characteristics for the student modeling in the ITS. This concept can be deployed to develop ITS where the tutor can author and the students can learn locally whereas the ITS can model the students' learning globally in a distributed environment. The advantage of such an approach is that both the learning material (domain knowledge) and students' model can be globally distributed thus enhancing the efficiency of ITS with reducing the bandwidth requirement and complexity of the system.

引用

页码：473 / +

页数：2

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