Title :
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
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;
Conference_Titel :
Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on
Print_ISBN :
0-7803-8163-7
DOI :
10.1109/ICECS.2003.1301697
