• DocumentCode
    1815917
  • Title

    Fuzzy approach to detect learning style using McCarthy model as a tool for e-learning system

  • Author

    Goyal, Mukta ; Yadav, Divakar ; Tripathi, Alka

  • Author_Institution
    Dept. of Comput. Sci., Jaypee Inst. of Inf. Technol., Noida, India
  • fYear
    2015
  • fDate
    6-8 Jan. 2015
  • Firstpage
    295
  • Lastpage
    300
  • Abstract
    This study suggests a soft computing approach to extract knowledge which can decide learner´s learning style in e-learning environment. The approach uses the rules of the learning style instrument(LSI) designed by Marlene Lefever which is based on the McCarthy Model. There are e-learning system which detect the learning style of a particular learner in a crisp manner. Due to the fuzzy nature of the learner a fuzzy approach is used to decide the learning style of the learner. The proposed method has used the McCarthy Model as a tool to detect the learning style of the student. This increase the efficiency of the learning because most of the systems are based on the notion that each student has only one learning style which is not true.
  • Keywords
    computer aided instruction; fuzzy set theory; LSI; McCarthy model; e-learning environment; e-learning system; fuzzy approach; knowledge extraction; learner learning style; learning efficiency; learning style instrument; soft computing approach; Adaptation models; Adaptive systems; Instruments; Libraries; Market research; Mathematical model; Innovative learning; LearningStyle; Marlene-Lefever; e-learning environment; fuzzy approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends and Technologies in Libraries and Information Services (ETTLIS), 2015 4th International Symposium on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-7999-8
  • Type

    conf

  • DOI
    10.1109/ETTLIS.2015.7048215
  • Filename
    7048215