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      데이터 기반 의사결정과 과정지표 활용

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      https://www.riss.kr/link?id=A99724672

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      This paper explores which accountability indicators are likely to reveal the distinct contexts and qualitative characteristics of school that stimulate and improve authentic pedagogy and accountability. In the era of accountability, data-driven decision making is a new research area for authentic pedagogy through monitoring student progress and improving school accountability. It is based on input-and-result oriented indicators such as school demographics, facilities, budget, standardized test scores, dropout rates. But the indicators are unlikely to capture a dynamically interactive qualitative characteristics of school organizations featuring a loosely-coupled system and difficult to be measured or assessed. Input-and-outcome data need to be complementary to process indicators for a valid and graphic description, monitoring and explanation of "why" and "how" the school outcomes occur. The author concluded that the data-driven decision making (DDDM) based on process indicators strengthens reflective professionalism and provides for the educational welfare for the poor and left-behind students.
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      This paper explores which accountability indicators are likely to reveal the distinct contexts and qualitative characteristics of school that stimulate and improve authentic pedagogy and accountability. In the era of accountability, data-driven decisi...

      This paper explores which accountability indicators are likely to reveal the distinct contexts and qualitative characteristics of school that stimulate and improve authentic pedagogy and accountability. In the era of accountability, data-driven decision making is a new research area for authentic pedagogy through monitoring student progress and improving school accountability. It is based on input-and-result oriented indicators such as school demographics, facilities, budget, standardized test scores, dropout rates. But the indicators are unlikely to capture a dynamically interactive qualitative characteristics of school organizations featuring a loosely-coupled system and difficult to be measured or assessed. Input-and-outcome data need to be complementary to process indicators for a valid and graphic description, monitoring and explanation of "why" and "how" the school outcomes occur. The author concluded that the data-driven decision making (DDDM) based on process indicators strengthens reflective professionalism and provides for the educational welfare for the poor and left-behind students.

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      목차 (Table of Contents)

      • Ⅰ. 서론
      • Ⅱ. 책무성 평가 지표
      • Ⅲ. 데이터 기반 의사결정
      • Ⅳ. 과정지표
      • Ⅴ. 데이터 기반 의사결정에서의 과정지표 활용
      • Ⅰ. 서론
      • Ⅱ. 책무성 평가 지표
      • Ⅲ. 데이터 기반 의사결정
      • Ⅳ. 과정지표
      • Ⅴ. 데이터 기반 의사결정에서의 과정지표 활용
      • Ⅵ. 논의 및 결론
      • 참고문헌
      • Abstract
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