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http://dx.doi.org/10.14400/JDC.2019.17.2.177

A Study on the Data Collection and Convergence of Career Advisor System Using AI  

Kim, Jong-yul (Division of Smart Convergence Consulting, Hansung University)
Ro, Kwang-hyun (Division of IT Convergence Engineering, Hansung University)
Publication Information
Journal of Digital Convergence / v.17, no.2, 2019 , pp. 177-185 More about this Journal
Abstract
The purpose of this study is to investigate the causes of career problems, which are the biggest problems of Korean university students, and to solve them by using case studies of domestic and global universities, I would like to suggest a career advisor system model for college students. It is most important to collect advice and learning data to solve the career problems of college students by utilizing information technology such as data analysis and AI. Research has not been actively pursued because the university has very limited internal data to advise on career problems. In this paper, we study the data types and methods of college students' career advice, and propose a career advisor counseling system for college students.
Keywords
Career advisor; eAdvisor; AI; Chatbot; Bigdata; University Student;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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