건설 산업 특성에 기반한 드론 교육 역량 강화 방안 = A Study on Strengthening Drone Education Competencies Based on the Characteristics of the Construction Industry

다국어 초록 (Multilingual Abstract)

This dissertation proposes a competency-based "Construction Drone Education Enhancement Plan" tailored to the specific process characteristics and workforce demands of the South Korean construction industry. Although drones are increasingly deployed for surveying, earthwork volume estimation, progress monitoring, safety inspection, and digital twin implementation, current domestic training remains largely focused on basic flight operations and licensing. This misalignment creates a substantial gap between training outcomes and on-site performance requirements. To bridge this gap, this study employs a mixed-methods research design.
First, a structured review of South Korea’s drone policies and training systems was conducted. Second, a nationwide survey of construction stakeholders (n = 126) revealed that 73.0% of respondents’ organizations have adopted or plan to adopt drone technology. Key barriers include a shortage of skilled personnel (56%), high initial costs (50%), regulatory constraints (39%), complex flight-approval procedures (35%), and insufficient field-centric training (33%). Third, in-depth interviews with 30 experts across industry, academia, and research institutes were analyzed using NVivo 14 Plus. The coding followed open, axial, and selective procedures, achieving high inter-coder reliability (Cohen’s kappa = 0.82). Fourth, international frameworks—specifically FAA Part 107 (U.S.), CAA GVC (U.K.), CASA RePL/ReOC (Australia), and EASA regulations (Europe)—were analyzed to extract transferable institutional and curricular design elements for a localized Korean model.Empirical results indicate a strong demand for short-term, intensive, modular training (e.g., 4–5-day formats). However, educational advancement is hindered by fragmented regulations, a lack of qualified instructors, inadequate infrastructure, and a weak nexus between curricula and site practices. Synthesizing these findings, this dissertation presents an integrated framework that cyclically links strategic vision, modular curriculum pathways, technical infrastructure (sensors, software, testbeds, and cloud-based assessment), and industry–academia–research collaboration. The proposed curriculum progresses from basic flight safety to data acquisition, 3D modeling, BIM/GIS integration, and AI-based analytics for smart construction applications. This study contributes by conceptualizing construction-drone competencies as an industry-aligned synthesis of knowledge, skills, and attitudes (KSA), providing a strategic roadmap to reposition drone education as a core mechanism for a data-driven smart construction ecosystem.

목차 (Table of Contents)

• Ⅰ. 서 론 1
• 1.1 연구 배경 및 필요성 1
• 1.2 연구 목적 및 범위 3
• 1.3 연구방법 5
• Ⅱ. 이론적 배경 7
• 2.1 드론의 개념 7
• 2.2 드론의 기술 11
• 2.3 건설 산업의 드론 활용 21
• Ⅲ. 한국 드론 교육 정책 및 운영 실태 분석 29
• 3.1 한국 드론 관련 법·제도 및 정책 분석 29
• 3.2 한국 드론 교육 유형 및 건설 드론 교육 특성 36
• 3.3 한국 건설 드론 교육 현황 분석 38
• 3.4 한국 드론 교육의 문제점 55
• Ⅳ. 해외 건설 드론 교육 사례 분석 68
• 4.1 미국 건설 드론 교육 사례 분석 68
• 4.2 유럽 건설 드론 교육 사례 분석 74
• 4.3 기타 국가 건설 드론 교육 사례 분석 85
• Ⅴ. 건설 드론 교육 구축 방안 99
• 5.1 건설 드론 교육의 비전과 전략 99
• 5.2 교육 프로그램 개발 및 운영 방안 108
• 5.3 교육 인프라 구축 방안 113
• 5.4 제도적 지원 및 개선 과제 129
• 5.5 산학연 협력 기반 활성화 전략 141
• Ⅵ. 결론 156
• 참고문헌 159
• 영문초록 171
• 부록 173