A neuro-fuzzy approach for student performance modeling

Author

Al-Hammadi, A.S. ; Milne, R.H.

Author_Institution

Etisalat Coll. of Eng., Emirates Telecom. Corp., Sharjah, United Arab Emirates

Volume

3

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

1078

Abstract

This paper reports on the design and development of a Neuro-Fuzzy technique for modeling student performance in a college of engineering. The main function of the Neuro-Fuzzy model is to support the student admittance procedure by evaluating and predicting student performance before acceptance to the college as well as assessing the suitability of the entry exams. The system has been tested using actual student exam results. The experiment demonstrated that some of the entry exams gave a good indication of the student level while other exams did not predict the correct student level.

Keywords

educational administrative data processing; educational courses; engineering education; function approximation; fuzzy neural nets; modelling; Mackey-Glass equation; NEFPROX function approximation; education assessment; education programs; engineering college; entry exams suitability; membership functions; neuro-fuzzy approach; structure learning proper-ties; student admittance procedure; student performance modeling; Admittance; Educational institutions; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Neural networks; Physics; Predictive models; Telecommunications; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on

Print_ISBN

0-7803-8163-7

Type

conf

DOI

10.1109/ICECS.2003.1301697

Filename

1301697