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The Self-adaptative E-learning System Constructed by Mas Technology

Author: ZhuXiaoJun
Tutor: YuXueLi
School: Taiyuan University of Technology
Course: Computer Applications
Keywords: Intelligent AGENT Individuation Distance learning E-LEARNING JAVA2
CLC: TP391.6
Type: Master's thesis
Year: 2004
Downloads: 29
Quote: 2
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Abstract


Currently, the rapid development of computer network unprecedented , new ideas and solutions for the traditional distance education . A large number of network - based distance education system , these systems are basically no adaptability and intelligence to the effectiveness of teaching some impact . To solve this problem , we need a breakthrough new technology . From the field of software technology and AI , AGENT has the characteristics of self- adaptive , intelligent , interactive series makes it a more appropriate technology to solve the problem . This paper analyzes the lack of remote teaching system based on the traditional concept of building a new distance education system model . The model combined the concept of distance learning and artificial intelligence technology , integrated use of fuzzy reasoning , concept map , and improved SHERLOCK II method designed including teachers AGENT, students AGENT management AGENT and personality analysis AGENT such as the MAS system . The system is able to solve the intelligent and personalized distance learning can be individualized . This article made ??the following points: (1 ) analysis of the existing deficiencies and shortcomings of the the WEB remote teaching system , put forward the concept of the the AGENT in artificial intelligence technology and distance education combined . (2) MAS technology to achieve a WEB-based distance education system model , the model involving multiple AGENT ( teachers the AGENT, students AGENT , etc.) to do a detailed analysis of the function and role of each AGENT . (3) a personalized visible eds and knowledge representation method , the method makes the students' learning process a lot easier . (4 ) exam theory to achieve a personalized remote test system by different students in the test , item difficulty and the number is not the same , so the system personalization . Which the students self-test model of the proposed algorithm is feasible , and has a strong theoretical research value and practical value .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Teaching machine, learning machine
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