DOI: 10.7763/IJCTE.2015.V7.926
Adaptive Neuro-Fuzzy Inference System in Predicting the Success of Student’s in a Particular Course
Abstract—Students are required to choose a certain number
of elective courses for next semester. One of the factors
influencing the course selection of the students is their grade in
the course. The grades that students will get from the course at
the end of the semester depend on many factors and includes
uncertainties. The student's gpa, gender and grades of related
courses are the parameters that can be obtained to eliminate this
uncertainty. However, the parameters such as student’s
psychological state, etc. are difficult to obtain, and will
eventually have a large impact on his/her grade at the end of the
semester. Estimate implementation depends on many factors
and the degree that these factors affect the estimation is
uncertain. In this study, using adaptive neuro-fuzzy model, the
estimation of the score range that the student will complete the
courses s/he requests is analysed and an average result of ±0.36
points is found.
Index Terms—ANFIS, decision support system, education.
S. Kaynak is with the Institute of Natural Sciences, Department of
Computer and Information Systems Engineering, Esentepe Sakarya Turkey
(e-mail: sumeyye@sakarya.edu.tr).
H. Evirgen is with the Faculy of Computer and Information Sciences,
Department of Computer Engineering, Esentepe Sakarya Turkey (e-mail:
evirgen@sakarya.edu.tr).
B. Kaynak is with the Faculy of Computer and Information Sciences,
Department of Information Systems, Esentepe Sakarya Turkey (e-mail:
kaynak@sakarya.edu.tr).
Cite:Sümeyye Kaynak, Hayrettin Evirgen, and Baran Kaynak, "Adaptive Neuro-Fuzzy Inference System in Predicting the Success of Student’s in a Particular Course," International Journal of Computer Theory and Engineering vol. 7, no. 1, pp. 34-39, 2015.