취업 포트폴리오 제작을 위한 생성형 AI 활용 연구

• Published in: (사)디지털산업정보학회 논문지, 20(3) Vol. 20; no. 3; pp. 1 - 12
• Main Authors: 김성림, 권준희, Kim Sungrim, Kwon Joonhee
• Format: Journal Article
• Language: Korean
• Published: (사)디지털산업정보학회 01.09.2024
• Subjects: 컴퓨터학; Generative AI; Employment Portfolio; Career Development; Job Market Trends; AI Tools in Education
• ISSN: 1738-6667; 2713-9018

This study explores how generative AI technology can be utilized to create more efficient and effective employment portfolios in the rapidly changing job market and recruitment landscape. To achieve this, the study first conducted an in-depth analysis of recent employment trends and recruitment patterns, categorizing various generative AI tools based on their application in areas such as resume writing, portfolio design, and video production. Particularly, this research includes a case study of a career planning course in a university setting, where generative AI was applied, to empirically evaluate its potential for educational use. Through this case study, the research thoroughly examines how generative AI can contribute to efficient job preparation and skill enhancement for job seekers. The findings suggest that generative AI plays a critical role in providing personalized information, generating creative ideas, and enhancing both the visual and functional quality of employment portfolios, ultimately contributing to increased competitiveness in the job market. The study also emphasizes the need for further research on the expanding scope and effectiveness of generative AI as the technology continues to evolve.