基于Agent和推荐技术的网络教学模型研究

The Research on Model of Network Teaching System Based on Agent and Recommendation Technology

通过分析目前网络教学系统的不足,提出一种基于Agent和推荐技术相结合的网络教学模型.该模型通过Agent动态收集用户兴趣爱好,分析学生的学习行为,生成用户的兴趣模型,然后使用协同过滤技术将相关的资源推荐给其他用户.模型充分发挥了教师在教学中的作用,教师和学生之间可以互相推荐学习资源,提高了用户之间信息资源的共享和交互能力,提高了系统的个性化服务水平.

By analyzing the weaknesses of the present network teaching system, a network teaching model based on Agent and recommendation technology is put forward. This model adopts Agent to collect the users＇ affection dynamically, and analyze the study behavior of students, build users＇ affection model. Collaborative filtering is used to present correlative resource to others. This model exerts teachers＇ function well. Teachers and students can recommend resource to each other. The ability of sharing information is improved between users, and so is the level of the system＇s personal service.