@article{ART002826323},
author={Won Joo Lee and Doohyun Kim and Sang Il Kim and Hansung Kim},
title={A Study on the Standard AI Developer Job Training Track Based on Industry Demand},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={3},
pages={251-258},
doi={10.9708/jksci.2022.27.03.251}
TY - JOUR
AU - Won Joo Lee
AU - Doohyun Kim
AU - Sang Il Kim
AU - Hansung Kim
TI - A Study on the Standard AI Developer Job Training Track Based on Industry Demand
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 3
PB - The Korean Society Of Computer And Information
SP - 251
EP - 258
SN - 1598-849X
AB - In this paper, we propose a standard AI developer job training track based on industry needs. The characteristic of this curriculum is that it can minimize the mismatch of AI developer job competency between industries and universities. To develop an AI developer job training track, a survey will be conducted for AI developers working in industrial fields. In this survey, among the five NCS-based AI developer jobs, job analysis is conducted by deriving AI developer jobs with high demand for manpower in industrial fields. In job analysis, the core competency unit elements of the job are selected, and knowledge, skills, tools, etc. necessary to perform the core competency unit elements are derived. In addition, a standard AI developer job curriculum is developed by deriving core subjects and road-map that can educate knowledge, skills, tools, etc. In addition, we present an efficient AI developer job training method using the standard AI developer job training course proposed in this paper.
KW - AI Developer Job Training Track;NCS(National Competency Standards);Competency Unit;Competency Unit Elements;Road-map
DO - 10.9708/jksci.2022.27.03.251
ER -
Won Joo Lee, Doohyun Kim, Sang Il Kim and Hansung Kim. (2022). A Study on the Standard AI Developer Job Training Track Based on Industry Demand. Journal of The Korea Society of Computer and Information, 27(3), 251-258.
Won Joo Lee, Doohyun Kim, Sang Il Kim and Hansung Kim. 2022, "A Study on the Standard AI Developer Job Training Track Based on Industry Demand", Journal of The Korea Society of Computer and Information, vol.27, no.3 pp.251-258. Available from: doi:10.9708/jksci.2022.27.03.251
Won Joo Lee, Doohyun Kim, Sang Il Kim, Hansung Kim "A Study on the Standard AI Developer Job Training Track Based on Industry Demand" Journal of The Korea Society of Computer and Information 27.3 pp.251-258 (2022) : 251.
Won Joo Lee, Doohyun Kim, Sang Il Kim, Hansung Kim. A Study on the Standard AI Developer Job Training Track Based on Industry Demand. 2022; 27(3), 251-258. Available from: doi:10.9708/jksci.2022.27.03.251
Won Joo Lee, Doohyun Kim, Sang Il Kim and Hansung Kim. "A Study on the Standard AI Developer Job Training Track Based on Industry Demand" Journal of The Korea Society of Computer and Information 27, no.3 (2022) : 251-258.doi: 10.9708/jksci.2022.27.03.251
Won Joo Lee; Doohyun Kim; Sang Il Kim; Hansung Kim. A Study on the Standard AI Developer Job Training Track Based on Industry Demand. Journal of The Korea Society of Computer and Information, 27(3), 251-258. doi: 10.9708/jksci.2022.27.03.251
Won Joo Lee; Doohyun Kim; Sang Il Kim; Hansung Kim. A Study on the Standard AI Developer Job Training Track Based on Industry Demand. Journal of The Korea Society of Computer and Information. 2022; 27(3) 251-258. doi: 10.9708/jksci.2022.27.03.251
Won Joo Lee, Doohyun Kim, Sang Il Kim, Hansung Kim. A Study on the Standard AI Developer Job Training Track Based on Industry Demand. 2022; 27(3), 251-258. Available from: doi:10.9708/jksci.2022.27.03.251
Won Joo Lee, Doohyun Kim, Sang Il Kim and Hansung Kim. "A Study on the Standard AI Developer Job Training Track Based on Industry Demand" Journal of The Korea Society of Computer and Information 27, no.3 (2022) : 251-258.doi: 10.9708/jksci.2022.27.03.251
