Learning barriers diagnosis based on fuzzy rules for adaptive learning systems

Authors:
Shyi-Ming Chen;Shih-Ming Bai
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC and Department of Computer Science and Information Engineering ...;Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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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.