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FUDAOWANG: Implementing Advanced Education Concepts to Improve the Tutorial Intelligence of Intelligent Tutoring Systems
Abstract
The intelligence of an intelligent tutoring system is composed of reasoning intelligence and tutorial intelligence. The way to make an intelligent tutoring system with tutorial intelligence is to make sure the system has good tutoring functions. Determining how to provide good tutoring functions is an important research direction of intelligent tutoring systems. In this study, the authors develop an intelligent tutoring system with good tutoring functions, which they call “FUDAOWANG.” The research domain that FUDAOWANG treats is junior middle school mathematics, which belongs to the objective mature domain. Its characteristic is that the knowledge employed is the mature knowledge accepted by most people. FUDAOWANG uses automatic reasoning technology about objective mature problems to realize its reasoning intelligence. Based on the results of the automatic reasoning, FUDAOWANG synthetically applies the problem-based tutoring and the advanced education concepts to achieve tutoring functions of stepwise, prompt, detailed answers, rethinking after solution, consolidated exercise, etc. The evaluation of FUDAOWANG shows that it is helpful to the students in improving their learning achievements and cultivating good learning habits.
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