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基于人工心理和情感计算的网络个性化学习
引用本文:周强强,陈琦,稂婵新,熊丽.基于人工心理和情感计算的网络个性化学习[J].实验室研究与探索,2011,30(3):49-53.
作者姓名:周强强  陈琦  稂婵新  熊丽
作者单位:江西农业大学,计算机与信息工程学院,江西,南昌,330045
基金项目:江西省教育改革课题立项资助项目
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。

关 键 词:人工心理  情感计算  个性化学习

About Network Personalized Learning Based on Artificial Psychological and Emotion Computation
ZHOU Qiang-qiang,CHEN Qi,LANG Chan-xing,XIONG Li.About Network Personalized Learning Based on Artificial Psychological and Emotion Computation[J].Laboratory Research and Exploration,2011,30(3):49-53.
Authors:ZHOU Qiang-qiang  CHEN Qi  LANG Chan-xing  XIONG Li
Institution:(College of Computer and Information Engineering,Jiangxi Agriculture University,Nanchang 330045,China)
Abstract: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,real-time adjustment of learning strategies it can lead to improve the utilization of teaching resources to fully mobilize the learner’s initiative and enthusiasm.
Keywords:artificial psychology  affective computing  personalized learning
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