Agent-based knowledge management in intelligent tutoring systems

Li, Zhiping; Xu, Tao; Sun, Yu

doi:10.1109/iccse.2010.5593546

Cited by 3 publications

(5 citation statements)

References 4 publications

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“…The models of the knowledge acquirement agent, knowledge sharing agent, knowledge maintenance agent are shown below [1]. The learning agent is defined along with the knowledge agents and the formal model of the intelligent tutoring system has been revised.…”

Section: Modelling Of Intelligent Tutoring Systemmentioning

confidence: 99%

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Learning agent based knowledge management in Intelligent Tutoring System

Shanmugapriya¹,

Subhashini²,

Akilandeswari³

2012

2012 International Conference on Computer Communication and Informatics

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An Intelligent Tutoring System is helpful for the users who want to undertake a learning process. This paper presents an intelligent tutoring system based on learning agent and knowledge agents to improve the learning and teaching process of the tutoring session. The agents involved are knowledge acquirement agent, knowledge sharing agent, knowledge maintenance agent and learning agent. The knowledge acquirement agent is responsible for the construction of the student model and the domain knowledge base. The knowledge sharing agent is responsible for producing personalized teaching web pages to students dynamically. The knowledge maintenance agent is responsible for the maintenance of domain knowledge database and student profile database. The learning agent is used to obtain feedback from the students based on the learning process. The prioritization of the domains is performed depending on the feedback obtained from the students to improvise the tutoring system. This paper aims to provide the faster retrieval of information from the database and the effective teaching learning process to the users. The effectiveness is possible by the frequent updation of the domain knowledge to the prioritized domains.

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Section: Modelling Of Intelligent Tutoring Systemmentioning

confidence: 99%

“…The agents are three knowledge agents such as Knowledge Acquisition agent, Knowledge Sharing agent, knowledge maintaining agent [1].…”

Section: Related Workmentioning

confidence: 99%

Learning agent based knowledge management in Intelligent Tutoring System

Shanmugapriya¹,

Subhashini²,

Akilandeswari³

2012

2012 International Conference on Computer Communication and Informatics

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“…The performance of an expert system mainly depends on the quantity and quality of knowledge that the system contains, therefore the representation and access to knowledge are play main role in the development and use of an expert system [17]. Knowledge acquisition is the process of acquiring knowledge either directly from a human experts or from some other resources, and its formalized structure, that will allow some particular task to be performed by a computer system [15]. Software agents are computer programs different from nonagent programs in their ability to run autonomously sensing and acting on changing environment condition because they run autonomously [8].…”

Section: Knowledge Acquisition Agent (Kaa)mentioning

confidence: 99%

“…In ubiquitous computing environments like smart home, agents have to learn user's preferences in order to assist them. These preferences are represented by user profiles In [15], produce a formal model of agent-based knowledge management in intelligent tutoring systems. It consists of three agents, a knowledge acquisition agent, a knowledge distribution agent and a knowledge maintaining agent.…”

Section: Related Workmentioning

confidence: 99%

To Developed Tool, an Intelligent Agent for Automatic Knowledge Acquisition in Rule-based Expert System

Kadhim¹,

Alam²

2012

IJCA

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“…The second is a knowledge distribution agent which is responsible for producing personalized teaching web pages to students dynamically. Finally, a knowledge maintaining agent which is responsible for the refinement of student models and domain knowledge [9].…”

Section: Intelligent Agent In Ka and Iementioning

confidence: 99%