Design And Implementation Of Automatic Brokered Subsystem In Training Platform

The application of the online training platform in the teaching field not only has changed the traditional educational concept, mode of education and teaching methods, but also provides people with the convenient studying opportunities, good teaching environment and rich teaching resources which make people’s study activities more autonomously and individually. Online training is an important study way to match the student’s leisure time to the teaching and make full use of the fragmentary time and has tremendous developing potential and large applicative prospective.Nowadays, many domestic companies have established good platforms for the online training, which provides the necessary hardware for the network teaching. However, many existing online training platforms have failed to make full use of the characteristics and advantages of these resources. Some online training platforms have various defects, such as teaching mode, system model and technology standard. In order to research, develop and apply the smart online training, it is important to explore the educational idea, teaching mode and teaching methods. Besides, make full use of the technology and study more advanced online training teaching model are also two key points.This project try to use automatic matchmaking system to solve the problems existing in the current online training platform, the Multi-Agents technology is an innovation in the field of online training. Automatic matching system will be defined as the needs of teachers and students into a number of relatively independent Agent, through the collaboration between Agent to solve the problem of teaching and learning needs matching. In the automatic matching system, the design optimization of the string matching algorithm and weighted sorting algorithm, etc., the supply and demand between teachers and students is rapidly established by the automatic matching mechanism; enhance the efficiency of demand and supply matching. The teachers and students are self-matched by training platform, which been entirely evaluated by market to teacher’s teaching quality, then pricing the course and providing a more advanced teaching model for online training.