基于人工情绪的智能情感网络教学系统研究

Study of Intelligent Affective Network Tutoring System Based on Artificial Emotion

针对传统智能网络教学系统在情感教学方面的缺陷,基于人工情绪技术提出了一种Web环境下的智能情感网络教学系统结构.该系统由学习情绪模型、情绪教学模型、认知教学模型和学生模型等主要模块所构成,可以获取和识别每个学生的学习表情,并能够根据不同学生的学习情绪和学习效果,实现认知和情感相互协调的个性化教学.

The traditional intelligence network tutoring system can＇t implement affective tutoring, in order to overcome this limitation, this paper proposed an intelligent affective network tutoring system structure based on the Web. This system is composed of learning emotion module, emotion tutoring module, cognition tutoring module and student module, which can get, recognize and analyze information of every student＇s learning performance, then implement individual tutoring according to different students＇ learning emotion and effect.