Predicting academic major of students using bayesian networks to the case of iran
This addresses course selection for high school students in Iran, but it is incremental as it applies an existing method to a new dataset.
The study tackled predicting high school students' academic majors in Iran using Bayesian networks, achieving a method that advises students on suitable courses for further education.
In this study, which took place current year in the city of Maragheh in IRAN. Number of high school students in the fields of study: mathematics, Experimental Sciences, humanities, vocational, business and science were studied and compared. The purpose of this research is to predict the academic major of high school students using Bayesian networks. The effective factors have been used in academic major selection for the first time as an effective indicator of Bayesian networks. Evaluation of Impacts of indicators on each other, discretization data and processing them was performed by GeNIe. The proper course would be advised for students to continue their education.