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Data based decision making : ウィキペディア英語版 | Data based decision making
Data based decision making or data driven decision making refers to educator’s ongoing process of collecting and analyzing different types of data, including demographic, student achievement test, satisfaction, process data to guide decisions towards improvement of educational process. DDDM becomes more important in education since federal and state test-based accountability policies. No Child Left Behind Act opens broader opportunities and incentives in using data by educational organizations by requiring schools and districts to analyze additional components of data, as well as pressing them to increase student test scores. Information makes schools accountable for year by year improvement various student groups. DDDM helps to recognize the problem and who is affected by the problem; therefore, DDDM can find a solution of the problem ==Purpose==
The purpose of DDDM is to help educators, schools, districts, and states to use information they have to actionable knowledge to improve student outcomes. DDDM requires high-quality data and possibly technical assistance; otherwise, data can misinform and lead to unreliable inferences. Data management techniques can improve teaching and learning in schools. Test scores are used by many principals to identify “bubble kids”, students whose results are just below proficiency level in reading and mathematics.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Data based decision making」の詳細全文を読む
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