Design And Implementation Of Network Learning System Based On Agents

With the wide application of the rapid development of information technology and the Internet,provides new ideas and new methods for teaching the traditional network technology.In the information technology,network teaching has broken through the traditional teaching mode of one-way transmission limitations,this technology represents a new field of teaching.But many of the current network learning system can not provide the corresponding intelligent learning,are teaching courses and a knowledge base of teaching test.And some current systems lack of interaction,not to differences in heterogeneity and individual study issues such as a very good solution to the teaching knowledge of geographical distribution,different learning network.Therefore,to find a way to improve the network learning system has become the urgent need to address the problem.Aimed at the disadvantages of network learning system,puts forward a kind of intelligent network learning system based on Agent.Using Agent technology to realize the student learning network personalized learning plan and intelligent learning process guidance system.Focus on improving the cognitive ability of personality Agent evaluation method,increase the credibility of analysis function.Study the overall structure of the system are given through intelligent network,describes in detail the structure and functions of the static Agent.The system uses a tree structure to represent each knowledge point,the tree structure can not only represent each knowledge point,also can reflect the relationship between various points of knowledge,such features can provide a global user context of knowledge for students.The system can through learning ability assessment of cognitive ability,learning progress and other means of obtaining a student record and feedback the corresponding student learning model.According to the individual characteristics of students and the formulation and adjustment of the corresponding teaching strategies,first put forward suggestions based on cognitive ability of learning,the students were targeted to strengthen the teaching goal;next,put forward the reinforcement learning suggest error diagnosis based on knowledge,through analysis of defects in students'test results for students,and put forward reasonable review plan.The application of mobile Agent technology to the online learning system,on the one hand,aiming to solve some existing problems in network learning;also for the application of mobile Agent technology in other related fields provide an important reference.Improved online learning system not only improves the network learning and intelligent degree of the system,but also to provide personalized learning space for students and improve learning quality;at the same time to reduce network congestion and improve the response speed of.