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E-Learning中情绪认知个性化学生模型的研究 被引量:4

Research on emotion,cognition and personality student model in E-Learning
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摘要 为了提高E-Learning情绪教学的适应性和教学效果,针对传统学生模型的不足,引入人格、学习情绪及学习风格。通过OCC三维情绪空间描述学习情绪和丹尼尔.沙博人格划分理论进行情绪调节,通过美国心理学家布鲁姆的认知理论描述学生的认知能力,通过Felder-Silverman学习风格并结合支持向量机技术描述学习偏好的个性化特征。将情绪、认知、学习风格相结合构建一个完善的适合E-Learning教学的学生模型。通过将此学生模型应用到E-Learning教学中,不仅可以解决网络教学系统的情感缺失,而且大大提高了实用性、智能性和个性化。 In order to improve the emotion-teaching adaptability of E-Learning and teaching effectiveness,aimed to the deficiency of traditional student model,this paper introduced personality,learning emotion and learning style.It described learning emotion by the OCC and three-dimensional emotion space and regulated it by the theory of personality type,calculated the cognitive ability by cognitive theory of the famous psychologist——B.S.Bloom,recognized the personalized character and learning style by Felder-Silverman learning style model combining with support vector.It was constructed an adaptive student model for E-Learning teaching by combining emotion,cognition,learning style.Through the application of this student model,it does not only solve the emotion deficiency,but also improve applicability,intelligence and personality.
作者 王万森 龚文
出处 《计算机应用研究》 CSCD 北大核心 2011年第11期4174-4176,4183,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(60970052) 北京市自然科学基金资助项目(4112014)
关键词 学生模型 学习情绪 认知能力 学习风格 支持向量机 student model learning emotion cognitive ability learning style support vector machine
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参考文献12

  • 1ESSALMI F, AYED L J B, KINSHUK J,et al. A fully personalization strategy of E-learning scenarios [ J ]. Computers in Human Behavior,2010,26(4) :581-591.
  • 2乔向杰,王志良,王万森.基于OCC模型的E-learning系统情感建模[J].计算机科学,2010,37(5):214-218. 被引量:16
  • 3解迎刚.基于人工心理的智能化E-Learning系统研究[D].北京:北京科技大学,2008.
  • 4韩利吉.E-learning中学习者学业情绪模型的研究[D].北京:首都师范大学,2010.
  • 5SCOTTI S, MAURI M, BARBIERI R, et al. Automatic quantitative evaluation of emotions in E-Learning applications [ C ]//Proc of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2006 : 1360-1362.
  • 6(加)沙博.情绪教育法[M].北京:教育科学出版社,2010.
  • 7张晓清 肖建华.基于学生认知模型的智能教学系统的算法设计.西安电子科技大学学报,2008,(10):718-719.
  • 8谢忠新,王林泉,葛元.智能教学系统中认知型学生模型的建立[J].计算机工程与应用,2005,41(3):229-232. 被引量:29
  • 9许高攀,曾文华,黄翠兰.智能教学系统研究综述[J].计算机应用研究,2009,26(11):4019-4022. 被引量:29
  • 10刘先锋,丁继红,朱清华.Bayesian网知识推理在ITS学习推荐中的应用研究[J].计算机工程与应用,2009,45(1):220-223. 被引量:3

二级参考文献54

  • 1罗梅,王万森.基于关系数据库的智能教学系统知识库设计[J].计算机系统应用,2005,14(5):6-9. 被引量:10
  • 2李静,周竹荣.智能教学系统新进展[J].计算机应用研究,2005,22(12):15-20. 被引量:24
  • 3章志凌.基于Corpus库的词语相似度计算方法[C]//第20届中国控制会议,2005:638-640.
  • 4de Campes L M.Building Bayesian network baaed information retrieval systems[C]//Proceedings of the 11th International Workshop:Database and Expert Systems Applications,2000:543.
  • 5de Campos L M.Bayesian networks and information retrleval:an introduction to the special issue[J]Jnformation Processing and Management:an International Journal,2004,5:727-733.
  • 6de Campos L M.A layered bayesian network model for document retrieval[C]//Proceedings of the 24th BCS-IRSG European Colloquium,2002:168-182.
  • 7ZHANG Jie, CHEUNG B, HUI L. A design of an intelligent tutoring system, TR-2001-01 [R]. Hong Kong: University of Hong Kong, 2001:1-20.
  • 8BAYLARI A, MONTAZER G A. Design a personalized e-learning system based on item response theory and artificial neural network appreach[ J ]. Expert Systems with Applications, 2009,36 ( 4 ) : 8013-8021.
  • 9CHEN Chih-ming. Personalized e-learning system with self-regulated learning assisted mechanisms for promoting learning performance [ J ]. Expert Systems with Applications, 2009,36(5 ) :8816-8829.
  • 10CHU Hui-chuan, CHEN Tsung-yi, LIN Chia-jou, et al. Development of an adaptive learning case recommendation approach for problem- based e-learning on mathematics teaching for students with mild disabilities[ J]. Expert Systems with Applications, 2009,36 (3): 5456- 5468.

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