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arXiv · 1508.01648

Predicting academic major of students using bayesian networks to the case of iran

Shiva Asadianfam·Mahboubeh Shamsi·Sima Asadianfam
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Abstract

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.

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Shiva Asadianfam, Mahboubeh Shamsi, Sima Asadianfam. 2015-08-07. Predicting academic major of students using bayesian networks to the case of iran. https://doi.org/10.5121/ijcax.2015.2304

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