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  • 标题:Adaptation Improvement using Fuzzy Logic
  • 本地全文:下载
  • 作者:Constanza Huapaya ; Leonel Guccione ; Delia Benchoff
  • 期刊名称:Journal of Computer Science and Technology
  • 印刷版ISSN:1666-6046
  • 电子版ISSN:1666-6038
  • 出版年度:2015
  • 卷号:15
  • 期号:2
  • 出版社:Iberoamerican Science & Technology Education Consortium
  • 摘要:A module of a Student Model in a Virtual LearningEnvironment will be presented in order to promote thepersonalization of instructional material based on the dynamicknowledge levels and learning styles. The improvement isprovided by the inclusion experts' experience in the teachingfield whose opinions have been expressed in fuzzy rules usingtwo input linguistic variables (knowledge level and learningstyle) and two linguistic output variables (difficulty level andindividual/group work). These last two variables categorizeinstructional materials.
  • 关键词:adaptation; personalization; learning styles; fuzzy;logic; engineering student
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