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      스포츠 데이터 리터러시 평가영역 개발 및 중요도 분석 = Development of Evaluation Areas for Sports Data Literacy and Analysis of Relative Importance

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      https://www.riss.kr/link?id=A109956081

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      This study aimed to develop evaluation areas of data literacy required in sports settings and to analyze the relative importance of the identified factors. A literature review on data literacy was conducted, followed by a focus group interview (FGI) with experts from the sports field to identify evaluation areas and sub-components required of sports coaches. The Analytic Hierarchy Process (AHP) was used to estimate the relative importance of each factor. As a result, sports data literacy was categorized into four areas, namely data access and collection, data analysis and interpretation, data use and communication, and data ethics and security, encompassing fourteen sub-components. Among these areas, data analysis and interpretation ranked highest in importance, followed by data use and communication, data access and collection, and data ethics and security. These findings indicate that sports data literacy is a composite construct that integrates cognitive, technical, and behavioral competencies, and that in practice data interpretation and strategic communication are viewed as the most critical competencies.
      This study systematizes core elements of data literacy appropriate to the sports context and provides foundational evidence for the development of educational programs and evaluation models to strengthen data use competencies among sports coaches.
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      This study aimed to develop evaluation areas of data literacy required in sports settings and to analyze the relative importance of the identified factors. A literature review on data literacy was conducted, followed by a focus group interview (FGI) w...

      This study aimed to develop evaluation areas of data literacy required in sports settings and to analyze the relative importance of the identified factors. A literature review on data literacy was conducted, followed by a focus group interview (FGI) with experts from the sports field to identify evaluation areas and sub-components required of sports coaches. The Analytic Hierarchy Process (AHP) was used to estimate the relative importance of each factor. As a result, sports data literacy was categorized into four areas, namely data access and collection, data analysis and interpretation, data use and communication, and data ethics and security, encompassing fourteen sub-components. Among these areas, data analysis and interpretation ranked highest in importance, followed by data use and communication, data access and collection, and data ethics and security. These findings indicate that sports data literacy is a composite construct that integrates cognitive, technical, and behavioral competencies, and that in practice data interpretation and strategic communication are viewed as the most critical competencies.
      This study systematizes core elements of data literacy appropriate to the sports context and provides foundational evidence for the development of educational programs and evaluation models to strengthen data use competencies among sports coaches.

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