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확장된 데이터의 특성과 맥락을 반영한 데이터 리터러시의 재개념화
Re-conceptualization of data literacy reflecting the expanded data characteristics and context 원문보기

정보화 정책 = Informatization policy, v.30 no.3, 2023년, pp.49 - 68  

최경희 (Seoul Business School, aSSIST University) ,  조동성 (The Institute for Industrial Policy Studies)

초록
AI-Helper 아이콘AI-Helper

본 연구는 일반 시민이 지녀야 할 데이터에 대한 이해와 데이터 인력 양성 정책에 필요한 기본 개념 틀을 제공하기 위해 데이터 리터러시를 재개념화했다. 이를 위해 확장된 데이터의 특성을 고찰하였고 데이터 리터러시에 관한 선행연구를 분석하여 전문가 검토를 거친 후, 재개념화된 데이터 리터러시를 제시했다. 재개념화된 데이터 리터러시에는 지식, 기술, 맥락의 세 범주와 범주별 하위 요소로 구성되어 있다. 주로 데이터를 다루는 기술 범주를 강조하였던 기존의 데이터 리터러시의 개념에 데이터의 맥락 범주를 추가하여 맥락의 범위, 시간성, 가치 지향 요소도 명시했다. 또한 지식 범주에도 요소를 구체적으로 제시했다. 재개념화된 데이터 리터러시는 정보화, 인력 양성, 행정 등의 분야에서 교육과정과 교육 프로그램 개발 등에 활용될 수 있을 것이다.

Abstract ▼ AI-Helper 아이콘AI-Helper

This study presented a framework for re-conceptualized data literacy that consists of three domains-knowledge, skills, and contexts- and elements that are emphasized by each domain. In addition to the existing concept of data literacy that mainly emphasized the skills to handle data, the context dom...

주제어

#데이터   #데이터 리터러시   #재개념화   #데이터 인력   #맥락  

표/그림 (8)

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