Intelligent Multiagent Tutoring System in Artificial Intelligence

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Title:	Intelligent Multiagent Tutoring System in Artificial Intelligence
Authors:	Victor R. L. Shen 沈榮麟 Cheng-Ying Yang 楊政穎
Contributors:	臺北市立教育大學資訊科學系
Keywords:	agent technology artificial intelligence intelligent tutoring system web-based instruction
Date:	2011
Issue Date:	2011-12-01 10:24:59 (UTC+8)
Abstract:	An Intelligent Multiagent Tutoring System (IMATS) in Artificial Intelligence (AI) is presented in this paper. The authors describe ways of improving the quality of teaching AI through the use of agent technology. An interface agent, an authorization agent, an SQL agent, and a student agent can be integrated into the intelligent learning environment. These agents can guide and assist students as needed, probe their understanding, and promote learning and retention. They also exploit the natural human tendency to respond socially to computing systems. Here a brief historical perspective of intelligent learning environments is discussed and followed by an explanation of the IMATS framework. Next, a detailed description of the intelligent tutoring system, IMATS, is given. Then the results of usability evaluation, effectiveness evaluation, and satisfaction level evaluation of the software system are presented. The IMATS framework incorporates an incremental approach to obtain the dynamics of knowledge accumulation in the domain of interest and the learned knowledge content over time.
Relation:	International Journal of Engineering Education Vol. 27, No. 2 pp. 248-256
Appears in Collections:	[Department of Computer Science] Periodical Articles

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