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
Link To Document :
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