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직업상담사와 챗지피티의 직업상담 비교ㆍ분석: 빅데이터 기법 활용
이혁무,장신철,김동규,이상현 (사)한국직업자격학회 2024 직업과 자격 연구 Vol.13 No.1
The aim of this study is to compare the responses provided by career counselors to online career counseling questions with those provided by ChatGPT 3.5. We asked 1,000 identical questions to ChatGPT, and conducted text mining, keyword analysis, and sentiment analysis to determine whether the responses were similar. The keyword analysis showed that career counselors used key words such as ‘job’, ‘information’, ‘counseling’, ‘career’, and ‘self’, while ChatGPT used words such as ‘certification’, ‘management’, ‘self’, and ‘ability’, which were significantly different from each other. In the cross analysis and emotional words analysis, the career counselor used more emotional words based on human understanding and empathy than ChatGPT, and in the network analysis, which looks at the connections between words, the career counselor’s connections between words such as hope, interest, new, ability, and help clearly revealed the strategic context of the job hunting process, while the connections of the ChatGPT’s answers were less coherent. These results suggest that the quality of career counseling can be improved by understanding the differences in counseling between humans and A.I., and by combining strengths and dividing roles. The analysis of which approach offers qualitatively superior counseling is left for further research.
이기종 금융 데이터베이스 통합 : 공공 디지털상품권 시스템 혁신 사례
이혁무,유재수 한국콘텐츠학회 2025 한국콘텐츠학회논문지 Vol.25 No.11
In this paper, we design and implement a method for integrating heterogeneous databases across digital Onnuri Voucher systems. The existing systems have suffered from inefficiencies in data management and challenge in user experience due to decentralized operation. To overcome these issues, we propose an evidence-based integration approach that employs a phased migration strategy, a multi-level verification process, and materialized views. The proposed method for integrating heterogeneous financial data enables the transfer of large-scale transaction data covering approximately 4 million users and 880 billion won in asset data into a single platform, significantly improving system performance without errors. This approach is expected to provide an operational methodology applicable to large-scale public financial service integration projects.
부모의 배경이 취업성공패키지 사업 참여자들의 취업 성과에 미치는 영향에 관한 연구
김호원,조영은,이혁무,이종구 한국취업진로학회 2024 취업진로연구 Vol.14 No.2
The purpose of this study was to empirically analyze background factors such as parental asset size, monthly income, and educational level, which affect the employment outcomes of young adults, while examining the eligibility criteria for participation in the Employment Success Package program, which has evolved from employment support programs for vulnerable populations to the current National Employment Support System, without applying income criteria. To accomplish this, data from the "2020 College Graduates Occupational Mobility Survey" conducted by the Korea Employment Information Service was utilized. The analysis revealed that parental asset size, excluding parental monthly income and educational level, significantly influenced all factors such as employment status, regular employment status, wage level, and company size, showing a positive (+) effect. These research findings suggest the need to consider restricting participation for individuals with parents earning above a certain threshold in the Employment Success Package program targeting young participants with low parental income, as income criteria are not applied for eligibility. In other words, the starting point of the Employment Success Package program originated from providing support for the vulnerable population in employment. Therefore, there is an important implication that the current system of providing employment support through public funds should be avoided for young individuals with parental backgrounds that enable employment support based on factors such as parental asset size.
최기성,안준기,이혁무 한국경제연구학회 2024 한국경제연구 Vol.42 No.1
본 연구는 국민취업지원제도의 취업지원서비스가 참여자의 취업 및 구직 기간에 어떠한 영향을 미치는지 분석하였다. 분석을 위해 2021년부터 시행된 국민취업지원제도 행정DB 자료를 이용하였고, 2022년 12월까지 IAP(취업지원계획) 수립자들을 대상으로 2023년 7월까지의 취업 성과를 확인하고 있다. 주요한 분석 결과와 시사점은 다음과 같다. 첫째, 국민취업지원제도 직업능력(Ability)과 취업 의지(Will)에 따라 맞춤형 서비스를 제공하고 있는데, 예를 들면, 취업역량이 부족한 집단에 대해서는 직업훈련을 지원하고, 근로 의지가 약한 유형에는 동기부여를 위한 상담서비스가 제공된다. 그러나 유형별 맞춤형 취업지원서비스가 충분히 이뤄지지 못하고 있어 이에 대한 개선이 필요함을 지적하고 있다. 둘째, 국민취업지원제도의 취업지원서비스가 참여자의 취업 및 구직기간에 미치는 영향을 분석한 결과, 구직자의 직업능력과 취업의지에 따라 구분된 참여자 유형이 프로그램 종료 이후 유의미한 영향을 미치고 있는 것으로 나타났다. 이는 취업지원서비스가 이들의 유형 구분 효과를 상쇄시킬 수 있을 만큼의 영향을 미치지 못하고 있다고 해석되며 참여자 유형별로 제공되는 취업지원서비스의 내실화를 위해 운영 실태 및 장애요인 등을 파악하여 개선할 필요가 있다는 점을 시사한다. This study analyzed how the employment support service of the National Employment Support System affects participants' employment and job search period. For the analysis, we used administrative database data from the National Employment Support System that has been in effect since 2021, and are checking the employment performance until July 2023 for those who established an IAP (Employment Assistance Plan) by December 2022. The main analysis results and implications are as follows. First, the National Employment Support System provides customized services according to job ability and willingness to work. For example, vocational training is supported for groups lacking employment capacity, and counseling services for motivation are provided to those with a weak will to work. However, it is pointed out that customized employment support services for each type are not sufficiently provided and that improvement is needed. Second, as a result of analyzing the impact of the National Employment Support System's employment support service on the participants' employment and job search period, it was found that the types of participants classified according to job seekers' job ability and willingness to work had a significant impact after the end of the program. This is interpreted to mean that employment support services are not having enough of an impact to offset the effect of categorizing these types, and that there is a need to identify and improve the operation status and obstacles in order to improve the employment support services provided.