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http://dx.doi.org/10.6109/jkiice.2018.22.8.1055

Design of a Hopeful Career Forecasting Program for the Career Education  

Kim, Geun-Ho (Department of Computer Education, Kongju National University)
Kim, Eui-Jeong (Department of Computer Education, Kongju National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.8, 2018 , pp. 1055-1060 More about this Journal
Abstract
In the wake of the 4th Industrial Revolution, the problem of career education in schools has become a big issue. While various studies are being conducted on services or technologies to effectively handle artificial intelligence and big data, in the field of education, data on students is simply processed. Therefore, in this paper, we are going to design and present career prediction programs for students using artificial intelligence and big data. Using observational data from students at the institute, the decision tree is constructed with the C4.5 algorithm known to be most intelligent and effective in the decision tree and is used to predict students' path of hope. As a result, the coefficient of kappa exceeded 0.7 and showed a fairly low average error of 0.1 degrees. As shown in this study, a number of studies and data will be deployed to help guide students in their consultation and to provide them with classroom attitudes and directions.
Keywords
career education; Decision tree; Forecasting system; Artificial intelligence; C4.5;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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