Abstract
An Intelligent Tutoring System (ITS) is a computer based instruction tool that attempts to provide individualized instructions based on learner’s educational status. Advances in development of these systems have rose and fell since their emergence. Perhaps the main reason for this is the absence of appropriate framework for ITS development. This paper proposes a framework for designing two main parts of ITSs. Besides development framework, the second main reason for lack of significant advances in ITS development is its development cost. In general, this cost for instructional material is quite high and it becomes more in ITS development. The proposed method can significantly reduce the development cost. The cost reduction mainly is because of characteristics of applied mapping techniques. These maps are human readable and easily understandable by people who are not aware of knowledge representation techniques. The proposed framework is implemented for a graduate course at a technical university in Asia. This experiment provides an individualized instruction which is the main designing purpose of the ITSs.
Highlights
First generation electronic learning systems can only satisfy the primary needs of the individual learner, “Access to learning materials,” while the others require more advanced learning systems
This paper introduces a new method for rapid development of Intelligent Tutoring System (ITS) using two well-known cognitive mapping techniques, fuzzy cognitive maps and concept mapping, and presents the results of the proposed method which was experienced in topics relates to two sessions of a fuzzy course at a technical university in Asia
In the proposed model, the student model is an instance of expert model which itself is built on a concept map and changing of dynamic properties of the concept map is happened by triggered events in the map and the amount of these changes is defined by causal relationships of fuzzy cognitive maps
Summary
First generation electronic learning systems can only satisfy the primary needs of the individual learner, “Access to learning materials,” while the others require more advanced learning systems (good to be named teaching systems). ITSs try to satisfy all needs of an individual learner, especially with personalization and individualized instruction. Create Example-Tracing Tutors without programming and just by drag and drop techniques which reduces development cost by a factor of 4 to 8 [6]. This paper introduces a new method for rapid development of ITSs using two well-known cognitive mapping techniques, fuzzy cognitive maps and concept mapping, and presents the results of the proposed method which was experienced in topics relates to two sessions of a fuzzy course at a technical university in Asia.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Intelligent Learning Systems and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
