Research article    |    Open Access
International Journal on New Trends in Education and Their Implications 2014, Vol. 5(3) 166-175

Early Strategic Guidance for Higher Vocational School Students Using Support Vector Machines

Sezai TOKAT, Kenan KARAGUL, Erdal AYDEMIR

pp. 166 - 175

Publish Date: July 31, 2014  |   Single/Total View: 0/0   |   Single/Total Download: 0/0


Abstract

Academic guidance and orientation is important for vocational schools. In this study, data set of vocational school students are obtained from student affairs central database. The data is filtered and gender, age, geographical region student came from, high-school type, a special high school score of vocational high school student that is used for entering vocational school without exam, and school registration type are taken as six inputs. Academic success and graduation length are the two outputs that are aimed to be predicted. Based on these chosen input and output information, a model is aimed to be developed in order to help advisors in improving academic success and shortening graduation length of their students. Support vector machines based artificial intelligence technique is used. Input sensitivity analyses are also conducted. It is seen from the analyses that academic success and graduation length are both highly affected by gender. Also, academic background has also effect on two outputs in different manners. From the analyses, it can be concluded that the advisors can orient or guide students based on the SVM outputs.

Keywords: Vocational schools, academic guidance, academic success, graduation length, support vector machines, input sensitivity


How to Cite this Article?

APA 7th edition
TOKAT, S., KARAGUL, K., & AYDEMIR, E. (2014). Early Strategic Guidance for Higher Vocational School Students Using Support Vector Machines. International Journal on New Trends in Education and Their Implications, 5(3), 166-175.

Harvard
TOKAT, S., KARAGUL, K. and AYDEMIR, E. (2014). Early Strategic Guidance for Higher Vocational School Students Using Support Vector Machines. International Journal on New Trends in Education and Their Implications, 5(3), pp. 166-175.

Chicago 16th edition
TOKAT, Sezai, Kenan KARAGUL and Erdal AYDEMIR (2014). "Early Strategic Guidance for Higher Vocational School Students Using Support Vector Machines". International Journal on New Trends in Education and Their Implications 5 (3):166-175.