Adaptive Neuro-Fuzzy Inference System in Predicting the Success of Student’s in a Particular Course
Sümeyye Kaynak, Hayrettin Evirgen, Baran Kaynak · International Journal of Computer Theory and Engineering · 2014
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.