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Intelligent Tutoring System With Knowledge Points To Build Methods Of Research And Practical Teaching System Design

Posted on:1998-09-26Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y Z WangFull Text:PDF
GTID:1118360185995585Subject:Computer applications
Abstract/Summary:PDF Full Text Request
Intelligent Tutoring System (ITS) is a discipline which is related to artificial intelligence, computer science, cognitive science, education and psychology. The purpose of research on ITS is to teach human beings by programs automatically instead of by human teachers. The significance of research on ITS lies in that it can be used to relieve teachers from preparing lessons, to improve education quality, to make the human beings cognitive process clearly and to boost the development of related sciences such as cognitive science, artificial intelligence, etc. To reach these purpose, ITS should have domain knowledge, instructional knowledge, the ability to understand students and to communicate with students. But it is difficult for the current computer to have all the knowledge and abilities. So research on ITS have problems such as knowledge representation, student modeling, diagnosis for students, instruction plan and natural language process issues. The difficulties of research on ITS lie in two aspects: one is that techniques ITS uses are involved several sciences and remain unresolved; The other is that the learning process is unclear for scientists and researchers. So research on intelligent tutoring system is difficult for all the researchers in the world.Survey of ITS efforts shows that the methodology for ITS should be modified. A new method for developing intelligent tutoring systems is presented in this paper, which takes the domain knowledge unit as the key point in constructing systems. An intelligent tutoring system for middle school chemistry course named MSCITS is developed. Research on the application of case-based reasoning in ITS is reported and a case-based training system named English Reading System(ERS) is designed.The main characteristics of this project are as follows:(1) A new method for developing intelligent tutoring systems is presented, which takes the domain knowledge unit as the key point in organizing instruction process. Methods for building domain knowledge base, student modeling, diagnosis for students, and instructional plan are improved.
Keywords/Search Tags:Intelligent Tutoring System, Artificial Intelligence, Computer Assisted Instruction
PDF Full Text Request
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