DocumentCode :
476261
Title :
A new method for learning barriers diagnosis based on fuzzy rules
Author :
Bai, Shih-ming ; Chen, Shyi-Ming
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
Volume :
6
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
3090
Lastpage :
3095
Abstract :
Some methods have been presented for diagnosing learning problems of learners for adaptive learning systems. In this paper, we present a new method to diagnose learning barriers based on fuzzy rules. The proposed method evaluates the learning degree and infers the probability of learning barriers of the learner based on fuzzy rules. It provides a useful way to diagnose the learning barriers of the learners in adaptive learning systems.
Keywords :
fuzzy logic; fuzzy set theory; learning systems; probability; adaptive learning systems; fuzzy rules; learning barriers diagnosis; learning barriers probability; Adaptive control; Adaptive systems; Computer science; Cybernetics; Fuzzy reasoning; Fuzzy systems; Learning systems; Machine learning; System testing; Tin; Learning problems diagnosis; fuzzy rules; learning barrier detection; learning barriers analysis; learning guidance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620939
Filename :
4620939
Link To Document :
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