Neuro Fuzzy Reasoner for Student Modeling

Authors:
Zoran Sevarac
Affiliations:
University of Belgrade, Serbia and Montenegro
Venue:
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Year:
2006

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Abstract

This paper presents a neuro-fuzzy system that can be used for student modeling. The proposed system enables classification of students based on qualitative observations of their characteristics. The system is very flexibile and can be easily adapted to individual teacher's preferences. It is available as a Java component and it can be used in e-learning applications.