텍스트마이닝을 이용한 경영학부 교육과정 혁신 가능성 연구: K대학을 중심으로

초록

This study analyzes the curriculum of the business school through lecture plans to assess its current status and propose improvement strategies. The goal is to provide actionable insights for curriculum enhancement. A total of 383 syllabus from the Department of Industrial Management at K University (2022–2024) were analyzed using text mining techniques such as keyword frequency analysis and topic modeling. Focus group interviews with three faculty members further validated and refined the findings. The analysis highlighted digital transformation, data analysis, and customized marketing strategies as key components of the curriculum. Recommendations include introducing courses on data and digital skills, strengthening practice-oriented project-based learning (PBL), and integrating interdisciplinary subjects to promote convergence and complex thinking. This study is notable for utilizing big data-based text mining techniques to analyze the curriculum. It also presents a data-driven improvement model, showcasing how universities can adapt their curricula to meet evolving industrial demands effectively.

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