Physical protection education was legislated by the Ministry of Education, Science and Technology (MEST) in November 2010. KINAC (Korea Institute of Nuclear Nonproliferation and Control) was designated as the exclusive institution for physical protection education and training by MEST in October 2011, and it has since functioned as the sole institution responsible for this critical aspect of nuclear security education in the country. Over the past decade, KINAC has undertaken a variety of training initiatives aimed at enhancing the capabilities of nuclear operators’ physical protection personnel. Furthermore, it has consistently pursued annual curriculum revisions based on insights gleaned from surveys and workshops. In conventional curriculum assessments, general surveys often rely on Likert scale or short-answer questions as primary indicators, mainly due to their ease of data processing. Descriptive questions, while capable of capturing diverse opinions, have historically been relegated to a secondary role owing to the inherent challenges associated with data analysis. While physical protection education has made concerted efforts to solicit diverse opinions through descriptive questions, difficulties in organizing and leveraging this valuable data have resulted in it primarily serving as reference material. This study introduces a novel approach by employing ChatGPT, a chatbot, to conduct a comprehensive analysis of the descriptive questions from the physical protection education survey administered in the first half of 2023. The primary objective is to formulate a robust plan for curriculum enhancement based on a wide spectrum of opinions. Following the completion of physical protection training by 2,014 individuals in the first half of 2023, a survey was distributed, yielding an impressive response rate of 95.7% with 1,927 respondents. Chatbots were harnessed to extract major keywords and perform frequency analyses on approximately 360 responses to descriptive questions in the survey. The analysis revealed that certain keywords emerged with notable frequency, in the following order: “drone” (mentioned 51 times), “access management” (mentioned 28 times), “inspection and search” (mentioned 27 times), and “cybersecurity” (mentioned 20 times). Further analysis of these major keywords and related content revealed a consensus among trainees that there is a pressing need to incorporate topics addressing drone threats and responses, as well as strategies to fortify access management into the curriculum. This study underscores the potential to harness standardized data analysis techniques to synthesize and integrate trainees’ subjective opinions, thereby providing a solid foundation for the refinement of the curriculum.

국내·외 무역을 위한 해상운송의 양적증가는 선박 및 해양오염사고 증가의 주요한 원인 중 하나이다. 선박에 의한 해양오염 사고 예방 및 경감을 위한 각국의 관련 법․제도 시행에도 불구하고, 선박 종사자에 의한 인적과실(부주의․고의 등)이 해양오염사고 발생의 가장 큰 원인으로 보고되고 있다. 선박 기인 해양오염사고 경감에 가장 효과적인 방법 중 하나는 선박 종사자에 대한 체계적인 교육․훈련을 통해 인적과실을 줄이는 것이다. 따라서 본 연구에서는 「해양환경관리법」등의 국내법령에 근거하여 시행 중인 선박 해양오 염방지관리인에 대한 법정 교육․훈련 교육과정의 적절성을 검토하고 개선방안을 제시하고자 하였다. 이를 위해 법․제도가 우리나라와 유사한 일본의 해양오염 및 해상재해 방지 관련 법정교육․일반교육 과정과 비교․분석을 수행하였으며, 우리나라에서 시행 중인 육상오염방지 및 안전관리 담당 전문가에 대한 법정교육 사례를 조사․검토하였다.