Journal of Practical Engineering Education (실천공학교육논문지)

Korean Institute for Pratical Engineering Education (한국실천공학교육학회)
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A Study on Clustering of Core Competencies to Deploy in and Develop Courseworks for New Digital Technology

카드소팅을 활용한 디지털 신기술 과정 핵심역량 군집화에 관한 연구

  • Ji-Woon Lee (Department of Future Technology, Korea University of Technology and Education) ;
  • Ho Lee (Department of Future Technology, Korea University of Technology and Education) ;
  • Joung-Huem Kwon (Department of Future Technology, Korea University of Technology and Education)
  • 이지운 (한국기술교육대학교 융합학과) ;
  • 이호 (한국기술교육대학교 융합학과) ;
  • 권정흠 (한국기술교육대학교 융합학과)
  • Received : 2022.11.30
  • Accepted : 2022.12.22
  • Published : 2022.12.31
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Abstract

Card sorting is a useful data collection method for understanding users' perceptions of relationships between items. In general, card sorting is an intuitive and cost-effective technique that is very useful for user research and evaluation. In this study, the core competencies of each field were used as competency cards used in the next stage of card sorting for course development, and the clustering results were derived by applying the K-means algorithm to cluster the results. As a result of card sorting, competency clustering for core competencies for each occupation in each field was verified based on Participant-Centric Analysis (PCA). For the number of core competency cards for each occupation, the number of participants who agreed appropriately for clustering and the degree of card similarity were derived compared to the number of sorting participants.

카드소팅(Card sorting)은 항목 간의 관계에 대한 사용자의 인식을 이해하는 데 유용한 데이터 수집 방법으로서, 일반적으로 카드소팅은 사용자 조사 및 평가에 매우 유용한 직관적이고 비용 효율적인 기술이다. 본 연구에서는 각 분야 직업별 핵심역량들은 코스 개발을 위하여 다음 단계인 카드소팅 단계에서 활용되는 역량카드로 사용하고, 결과를 군집화 하기 위해 K-평균 알고리즘을 적용하여 군집화 결과를 도출하였다. 카드소팅 결과 각 분야 직업별 핵심역량들에 대한 역량 군집화는 Participant-Centric Analysis (PCA)를 바탕으로 검증하였고, 이를 바탕으로 역량에 따른 직업별 코스 및 역량 분류 결과와 클러스터링에 의한 카드 유사성 정도는 각 직업별 핵심 역량 카드수에 대해 소팅 참여자 수 대비 군집화에 적합하게 동의한 참여자의 수와 카드 유사성 정도를 도출하였다.

Keywords

Acknowledgement

이 논문은 2022년도 한국기술교육대학교 교수 교육연구진흥과제(202202930001) 지원에 의하여 연구되었음.

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