A Neuro-Fuzzy Approach in the Classification of Students’ Academic Performance

Classifying the student academic performance with high accuracy facilitates admission decisions and enhances educational services at educational institutions. The purpose of this paper is to present a neuro-fuzzy approach for classifying students into different groups. The neuro-fuzzy classifier use...

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Published in:Computational Intelligence and Neuroscience 2013-01, Vol.2013 (2013), p.49-55
Main Authors: Do, Quang Hung, Chen, Jeng-Fung
Format: Article
Language:English
Subjects:
Data Mining - methods
Educational research
Fuzzy algorithms
Fuzzy Logic
Fuzzy systems
Humans
Neural Networks (Computer)
Neurological research
Students
Support Vector Machine
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container_title Computational Intelligence and Neuroscience
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description Classifying the student academic performance with high accuracy facilitates admission decisions and enhances educational services at educational institutions. The purpose of this paper is to present a neuro-fuzzy approach for classifying students into different groups. The neuro-fuzzy classifier used previous exam results and other related factors as input variables and labeled students based on their expected academic performance. The results showed that the proposed approach achieved a high accuracy. The results were also compared with those obtained from other well-known classification approaches, including support vector machine, Naive Bayes, neural network, and decision tree approaches. The comparative analysis indicated that the neuro-fuzzy approach performed better than the others. It is expected that this work may be used to support student admission procedures and to strengthen the services of educational institutions.
doi_str_mv 10.1155/2013/179097
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source Open Access: Wiley-Blackwell Open Access Journals; Publicly Available Content Database
subjects Data Mining - methods
Educational research
Fuzzy algorithms
Fuzzy Logic
Fuzzy systems
Humans
Neural Networks (Computer)
Neurological research
Students
Support Vector Machine
title A Neuro-Fuzzy Approach in the Classification of Students’ Academic Performance
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