With the advent of the 4th Industrial Revolution, changes in the market environment and employment environment are accelerating due to smart technological innovation, and securing professional manpower and developing human resources for domestic small and medium-sized enterprises is becoming very important. Recently, most of the domestic small and medium-sized enterprises are experiencing hiring difficulties, and the development and training of human resources to overcome this is still lacking in systemization, despite much support from the government. This reflects the reality that it is not easy to invest training costs and time to adapt new employees to small and medium-sized businesses. Based on these problems, the work-study parallel project was introduced to cultivate practical talent in small and medium-sized businesses. Work-study parallel training is carried out in the form of mentoring between corporate field teachers and learning workers in actual workplaces, and even if the training is the same, there are differences depending on the learner's attitude, learning motivation, and training achievement. Ego state is a theory that can identify personality types and has the advantage of being able to understand and acknowledge oneself and others and intentionally improve positive factors to induce optimized interpersonal relationships. Accordingly, the purpose of this study is to analyze the attitudes of learning workers, who are the actual subjects for improving the performance of work-study parallel projects and establishing a stable settlement within the company, based on their ego status. Through this study, we aim to understand the impact of the personality type of learning workers on training performance and to suggest ways to improve training performance through work-study parallelism.

1. 서 론
2. 이론적 배경
    2.1 일학습병행
    2.2 성격유형
    2.3 훈련성취도
    2.4 선행연구 고찰
3. 연구 방법
    3.1 연구모형
    3.2 연구 방법
    3.3 연구 문제
4. 연구 결과
    4.1 확인적 요인분석
    4.2 결과 분석
5. 결 론
References

• Su-Jin Han(Department of Industrial & Management Engineering, Hanbat National University) | 한수진 (국립한밭대학교 산업경영공학과)
• Soo-Yong Park(Department of Convergence Technology, Hanbat National University) | 박수용 (국립한밭대학교 융합기술학과)
• Dong-Hyung Lee(Department of Industrial & Management Engineering, Hanbat National University) | 이동형 (국립한밭대학교 산업경영공학과) Corresponding author