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Illuminating the black box: Using consensus in student survey reports as an indicator of instructional microclimates in mathematics and science

Illuminating the black box: Using consensus in student survey reports as an indicator of instructional microclimates in mathematics and science
照亮黑匣子:利用学生调查报告中的共识作为数学和科学教学微环境的指标
批准号:
1544208
负责人:
Jonathan Schweig
金额:
$45.55万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-01-01 至 2018-12-31

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中文摘要
翻译
促进评估方法的研究和创新(PRIME)计划旨在支持评估研究,特别强调:(1)探索确定STEM教育项目和计划的影响和有用性的创新方法;(2)建立和扩大评估STEM教育和劳动力发展计划的理论基础,包括翻译和改编其他领域的方法;本研究的结果有可能有助于我们理解有效教学的本质和组织,以及在数学和科学课堂内组织有价值的教学实践以影响不同学生或学生群体的学习的机制。使用有效教学项目的措施的数据,本研究采用了创新的混合方法设计,以研究是否在课堂内的变化,学生的反应,三脚架学生感知调查可以用来确定教学的小气候,以及这些小气候是否温和的教学实践和学生成绩在数学和科学课堂的综合措施之间的关系。为此,调查人员将联合收割机从学生调查数据的定量分析中获得的证据与对同一教室的课程视频的深入定性分析相结合。
英文摘要
The Promoting Research and Innovation in Methodologies for Evaluation (PRIME) program seeks to support research on evaluation with special emphasis on: (1) exploring innovative approaches for determining the impacts and usefulness of STEM education projects and programs; (2) building on and expanding the theoretical foundations for evaluating STEM education and workforce development initiatives, including translating and adapting approaches from other fields; and (3) growing the capacity and infrastructure of the evaluation field.The results of this study have the potential to contribute to our understanding of the nature and organization of effective teaching, and the mechanisms through which valued instructional practices are organized inside the mathematics and science classroom to impact learning for different students or groups of students. Using data from the Measures of Effective Teaching project, this study uses an innovative mixed-methods design to examine whether within-classroom variation in student responses to Tripod Student Perception Survey may be used to identify instructional microclimates, and whether these microclimates moderate the relationship between aggregate measures of instructional practice and student achievement in mathematics and science classrooms. To this effect, investigators will combine evidence from quantitative analysis of student survey data, with in-depth qualitative analysis of lesson videos of the same classrooms.
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