A neuro-fuzzy approach for student performance modeling

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.