摘要
针对现代网络化学习环境中存在的急需解决的问题,积极探索网络教育效果优化的途径和方法。通过引入基于人工心理和情感计算的模式识别,建立一个以学生为中心,为学生提供适时、有效的学习支持和个性化的自主学习支持系统。通过及时感知学生情感状态的变化,察觉教学效果,有效激励,友好互动,实时调整学习策略,提高教学资源的利用率,调动学习者的主动性及积极性。
This article explored the effective ways and means of optimizing online education, through the introduction of pattern recognition based on artificial psychology and affective computing, to build a self-learning support system of student-centered and provide timely, effective and personalized learning support. By means of timely perceiving the changes of students＇ emotional state and the teaching effectiveness, with effective incentives, friendly interactive, realtime adjustment of learning strategies it can lead to improve the utilization of teaching resources to fully mobilize the learner＇s initiative and enthusiasm.
出处
《实验室研究与探索》
CAS
北大核心
2011年第3期49-53,共5页
Research and Exploration In Laboratory
基金
江西省教育改革课题立项资助项目(JXJG-08-4-17)
关键词
人工心理
情感计算
个性化学习
artificial psychology
affective computing
personalized learning
