Fuzzy Expert System to Characterize Students

Students wanting to succeed in higher education are required to adopt an adequate learning approach. By analyzing individual learning characteristics, teachers can give personal advice to help students identify their learning success factors. An expert system based on fuzzy logic can provide economi...

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Bibliographic Details
Published inPRIMUS : problems, resources, and issues in mathematics undergraduate studies Vol. 21; no. 7; pp. 651 - 658
Main Author Van Hecke, T.
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis Group 01.10.2011
Taylor & Francis, Ltd
Taylor & Francis Ltd
Subjects
Artificial Intelligence
College Mathematics
Data Collection
Decision Making
Economics
Evaluation Methods
expert system
Expertise
Fuzzy logic
Learning
learning characteristics
Learning Strategies
Logical Thinking
Mathematical Logic
Mathematics Instruction
Profiles
Questionnaires
Student Characteristics
Teaching Methods
Online AccessGet full text
ISSN1051-1970
1935-4053
DOI10.1080/10511971003688416

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Summary:Students wanting to succeed in higher education are required to adopt an adequate learning approach. By analyzing individual learning characteristics, teachers can give personal advice to help students identify their learning success factors. An expert system based on fuzzy logic can provide economically viable solutions to help students identify these success factors. The content of this article can be used in its applied form to advise students, but it can also be an interesting mathematical subject. Some examples of other situations in everyday life are given where this expert system can also be applied.
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ISSN:1051-1970
1935-4053
DOI:10.1080/10511971003688416