Long-distance teaching system based on intelligent Agent

Abstract

After receiving mutual information of users, interface Agent subsystem transfers userí»s request to personal service sub system, which stores personal information to resources base. Filtered service information stream is transferred to main learning sub system for processing. The processed information is returned back to Internet to query. The queried result is returned back to the personal service sub system and stored to the local knowledge base. The request is again transferred to the main learning sub system, which answer directly from the knowledge base. Finally, the main learning sub system responses userí»s request, and returns result to personal service sub system, and further returns the result back to user by using interface sub system. The invention accords with individuality of student intelligently. Advantages are: available network resources at any time, abundant content of knowledge base, raised learning efficiency, achievement, and saving cost.

Description

technical field [0001] The invention relates to a system in the field of information technology, in particular to an intelligent Agent-based distance teaching system. Background technique [0002] The information security public service platform will provide an open public experiment, practice and testing environment, support information security professional teaching and experiments, and support information security vocational training and practical training. To achieve these goals, it is necessary for the entire platform experiment system to support technologies such as large-scale concurrent access, real-time remote interaction, and centralized management. It is truly personalized and strategic, and optimizes the learning process and learning effect of students to the greatest extent. Moreover, the support platform is based on the Web, so it has the advantage that it can be accessed anywhere as long as it can be connected to the Internet, and it is also supported by a po...

AI Technical Summary

Problems solved by technology

But there are also inherent limitations and defects: 1. Since the system is based on real-time teaching, it has great limitations in terms of venue, time, scale and other objective factors

2. The teaching organization arrangement is relatively inflexible, and basically cannot reflect the individual teaching of students

3. It only provides a means of teaching, and it is still traditional teaching in essence. The content of learning is completely determined by the teacher. The network is only a vassal, only used as a transmission medium, and does not take advantage of the large amount of information on the network. Information exchange fast superiority

4. Lack of intelligent scalability

Images