基于Agent的远程智能教学系统模型设计

摘要

Aiming at the problem that the dynamic interaction of traditional remote network teaching system is weak, the paper designs an intelligent teaching system model based on agent technology. For the teaching method, a personalized learning model based on Bayesian network theory is adopted. Correlation analysis showed that the remote teaching model based on agent can provide a flexible and personalized, interactive and intelligent learning environment for students, and it also can improve teaching efficiency and teaching quality of 40%.%针对目前传统远程网络教学系统的动态交互性不强这一个问题,文中设计了一种基于Agent的远程智能教学系统模型.该教学方式中采用了基于贝叶斯网络理论的个性化学习模型进行学生个性化学习设计.通过相关分析表明:该基于Agent的远程教学模型可为学生提供一个灵活、个性化、互动和智能的学习环境,可将教学效率与教学质量提高40%.