Analysis And Design Of Teacher Distance Training Platform

As a completely new mode of teaching, Internet distance teaching breaks the limit from time and place of traditional teaching method and provides more flexible and convenient learning environment. But most of the present distance training systems apply techniques of web, which are exploited for demonstrating teaching material. In fact, learners accept it to a low degree and take participate in it inactively.To solve the problem of the present Internet distance training being in lack of intelligence, this thesis suggests constructing a distance intelligent training platform on the basis of Agent under the direction of constructivism learning theory, to improve the quality of teaching and learning by making Internet training more intelligent and providing a learning space of more individuality.Tracking evaluation system of teaching quality is an important method of promoting teaching quality. This thesis studies and designs a sub-system for tracking teaching quality of distance training, which employs techniques of data excavation to trace, analyze and feed back the learners' on-line training.Question and answer is an important part to improve the efficiency of learning. To solve the problem of question-and-answer system being lack in accuracy and validity, this thesis puts forward the algorithm of fuzzy neartude on the basis of threshold, to enhance the capacity of the system in intelligent question and answer.This thesis designs a sub-system for distance testing. The system has the following functions: composing the paper at random, controlling time, auto-grading and administrating questions data.Because the distance training system is on-limits and distributing, it is harmful attacks and it has to bear some risks. The thesis analyzes some sources of the threats and introduces the relevant counter measurements.The deficiency in the thesis lies in stressing much on theoretical analysis, which has to be realized and tested.