Neuro Fuzzy Reasoner for Student Modeling

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.

• Type: Conference
• Year: 2006
• Where: ICALT
• Authors: Zoran Sevarac
• Keywords: Enables Classification, ICALT 2006, Individual Teacher Preferences, Machine Learning, Qualitative Observations