Published August 31, 2023
| Version 3
Journal article
Open
PREDICTING ACADEMIC MAJOR OF STUDENTS USING BAYESIAN NETWORKS TO THE CASE OF IRAN
Authors/Creators
- 1. 1 Department of Computer Engineering, Qom Branch, Islamic Azad University, Qom, Iran 2 Department of Electrical & Computer Engineering, Qom University of Technology, Qom, Iran 3 Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran
Description
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.