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  • 标题:Identifying Causes Helps a Tutoring System to Better Adapt to Learners duringTraining Sessions
  • 本地全文:下载
  • 作者:Usef Faghihi ; Philippe Fouriner-Viger ; Roger Nkambou
  • 期刊名称:Journal of Intelligent Learning Systems and Applications
  • 印刷版ISSN:2150-8402
  • 电子版ISSN:2150-8410
  • 出版年度:2011
  • 卷号:3
  • 期号:3
  • 页码:139-154
  • DOI:10.4236/jilsa.2011.33016
  • 出版社:Scientific Research Publishing
  • 摘要:This paper describes a computational model for the implementation of causal learning in cognitive agents. The Conscious Emotional Learning Tutoring System (CELTS) is able to provide dynamic fine-tuned assistance to users. The integration of a Causal Learning mechanism within CELTS allows CELTS to first establish, through a mix of datamining algorithms, gross user group models. CELTS then uses these models to find the cause of users' mistakes, evaluate their performance, predict their future behavior, and, through a pedagogical knowledge mechanism, decide which tutoring intervention fits best.
  • 关键词:Cognitive Agents; Computational Causal Modeling and Learning; Emotions
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