Research on Computer Network Teaching Mode Based on Artificial Intelligence and Web Platform

Abstract

The traditional network teaching system has some effects, such as low intelligence, weak test and evaluation function, which also lacks of dynamic interaction function and so on. According to the modern education theory, this paper adopts the existing information technology, and studies the intelligent network teaching system model with personalized teaching and collaborative learning function under the web environment. The composition and module division of intelligent network teaching system based on Web and multi-agent are provided, and the main functions of each module are analyzed. Finally, through the analysis of the effectiveness of the algorithm in the actual process, the running situation and testing effect of the agent-based network teaching system are comprehensively evaluated. It is proved that the cooperation theory based on agent can establish an effective resource distribution model, which makes the distribution of educational resources more effective.