Title of article :
Learning barriers diagnosis based on fuzzy rules for adaptive learning systems
Author/Authors :
Chen، نويسنده , , Shyi-Ming and Bai، نويسنده , , Shih-Ming، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Abstract :
To diagnose learning barriers of learners is an important research topic of adaptive learning systems. In recent years, 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 of learners based on fuzzy rules. The proposed method evaluates the learning degree and infers the probability of learning barriers of the learners based on fuzzy rules. It provides us a useful way to diagnose the learning barriers of the learners in adaptive learning systems.
Keywords :
Learning barrier detection , Learning guidance , Fuzzy rules , Learning problems diagnosis , Learning barriers analysis
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications