Study On Agent-based Intelligentization For Network Course

With extensive use of electronic network media, the material for study can meet various kinds of need, take up different constitutions and be send to students by way of exchanging and communicating. This teaching method have broken through the restriction of traditional education resources and method so that students can arrange the studying plan and schedule according to their knowledge level and time situation and realize "education individualization" which can't be accomplished in traditional education. Meanwhile, the introduction of artificial intelligent thought in the network tutoring system enable itself to remember, analyses learning state and interest of students, instruct study better effectively and accomplish intelligent education.The dissertation analyzed in detail the key technology of the intelligent network course, Such as Agent technology, relevant Java and XML technology on the base of describing the basic course theories of the intelligent network. The whole model of course network was designed on Agent. The function of Agent in every subsystem and the structure of every database of data center have explained in detail. The multi-Agent system developing tools wise chosen—Zeus can simulate and simplify multi-Agent societies in a network course and finally produced Multiagent-based intelligent teaching software of network.The basic thought of designing system of intelligent network course is that the outstanding teaching course can be chosen and teaching tactics can be regulated dynamically according to teaching goal, content and student need. On the thought, the tactics Agent was adapted to choose intelligently teaching tactics according to some information's such as studying speed and the. Tactics-coordinating Agent was used in teaching course for micro-tactics coordination. Both Agents can make teaching contents appear in individualizing form so as to realize intelligent teaching.This model of teaching software was built up with individualized characteristic, cooperation and coordination in order to realize the following characteristics:1. Accompanying study with intelligent: To set up a visual intelligent study partner for students.2. Individualized teaching: With testing after registering of students, individual character Agent write down student characteristic, system makes up individualized studying tactics. According to a series of characteristics such as the level, content, difficult point and motive of study, the different teaching methods were adopted and the different teaching resources were provided. The teaching resources and courses were different with students and truly realize "teaching in accordance with their aptitude of students".3. Humanizing communication: Students would feel completely different from icy teaching atmosphere in studying, student interface Agent is aware of student's wishes at any time, and find out student state dynamically. It can choose and adjust studying content and progress according to student real level and studying state. Furthermore it can produce various kinds of questions and exercise and provide the answers automatically on the basis understanding the content of courses.4. Cooperating study: The system tests after registering divided students into several studying groups and realize dynamic exchange and cooperation in the course of studying.5. The high security: With B/A/S three layers of structure and Java technology, the system have higher security.