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High School Teachers' Use of Data to Inform Instruction

机译:高中教师使用数据指导教学

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The expectation that teachers will use student achievement data to improve their instruction is a major feature of national and local reform agendas. The theory of action behind data-driven decision making is a mostly causal model of professional action, whereby teachers diagnose weaknesses and implement solutions. The purpose of this article is to examine how high school teachers, situated within their policy and work contexts, use data to inform instructional decisions. Using a framework that draws upon sense-making and co-construction theories on reform implementation, we analyze qualitative data gathered in 4 urban public high schools in the United States. Findings reveal that the process of data use by teachers is complex, multilayered, and influenced by teacher interpretations and social interactions. Teachers used a variety of forms of data to inform their decision making and struggled to reconcile policies promoting data-driven decision making with local beliefs and practices. Implications for research and policy are discussed.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10824669.2012.718944
机译:期望老师将使用学生成绩数据来改善他们的教学是国家和地方改革议程的主要特征。数据驱动型决策背后的行动理论是专业行动的一种主要因果模型,教师可以借此来诊断弱点并实施解决方案。本文的目的是研究高中教师在其政策和工作环境中如何使用数据来指导教学决策。我们使用一个框架,该框架借鉴了有关改革实施的理性认识和共建理论,我们分析了美国4所城市公立高中收集的定性数据。研究结果表明,教师使用数据的过程是复杂的,多层的,并且受到教师解释和社会互动的影响。教师使用各种形式的数据来告知他们的决策,并努力调和促进以数据为依据的决策与当地信仰和实践的政策。讨论了对研究和政策的影响。 “,pubid:” ra-4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10824669.2012.718944

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