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Tracking the Process of Data-Driven Decision Making: Exploring the Use of the Instructional Systems of Practice (ISOP) Framework to Transform Undergraduate STEM Education

跟踪数据驱动决策的过程：探索使用实践教学系统 (ISOP) 框架来转变本科 STEM 教育

基本信息

批准号：
1224624
负责人：
Matthew Hora
金额：
$ 59.38万
依托单位：
University of Wisconsin-Madison
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-15 至 2015-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1224624&HistoricalAwards=false
关键词：
Tracking Process Data Driven Decision

项目摘要

This project is addressing the measurement of instructional practices and administrative decision-making concerning undergraduate STEM courses. In seeking to enhance the efficacy of pedagogical reforms, researchers and policymakers recommend that educators should utilize data-driven decision making (DDDM) systems. For this to work, the data must be robust, salient to local practice, and supported by adequate technical and administrative systems. Currently little is known about the nature of decision-making processes within STEM departments and pedagogical reform initiatives and this lack of high-quality data about instructional practice on individual campuses has retarded the use of DDDM at the postsecondary level. The goals of this study are to collect high quality data on instructional practice, to prepare reports based on these data for decision makers in higher education, and to subsequently examine the use of these data in decision making about pedagogical reforms. The core tool being used is the Instructional Systems of Practice (ISOP) framework. ISOP was developed as an approach to studying faculty teaching. It is designed to improve on existing data sources on teaching such as self-report surveys, unstructured observations, or student ratings. ISOP defines teaching to be a multi-dimensional practice comprised of course planning, classroom practice, and student interpretations of teaching efficacy. Classroom practice is studied using the Teaching Dimensions Observation Protocol (TDOP). STEM education leaders at three universities are committed to using the ISOP framework to help guide their decision-making. The participation of three universities is expected to define in greater detail the extent to which the ISOP framework can be used to enhance DDDM and efforts to transform undergraduate STEM education. The study will use of a longitudinal mixed methods case study design to study decision making and instructional practice over the course of three years at three research universities with active STEM education projects. Additionally this project is planning to provide professional development opportunities to administrators and STEM education leaders. Intellectual Merit: The ISOP framework is an innovative multidisciplinary approach that draws on established methodologies from cognitive science, naturalistic decision-making, and educational research. It does so in ways that promise to contribute new knowledge about the dynamics that underlie administrative decision-making and faculty practice, and provide better methods and measures for use in STEM education research. Broader Impacts: This research will determine to what extent the ISOP framework can be utilized in unique contexts engaged in undergraduate STEM education initiatives. It has the potential to be of significant value to researchers, educators and policymakers in the US.

本项目旨在解决本科STEM课程教学实践和行政决策的测量问题。为了提高教学改革的有效性，研究人员和政策制定者建议教育工作者应该利用数据驱动的决策制定（DDDM）系统。要做到这一点，数据必须是可靠的，对当地实践具有突出意义，并得到适当的技术和行政系统的支持。目前，人们对STEM部门和教学改革举措的决策过程的性质知之甚少，而且缺乏关于个别校园教学实践的高质量数据，这阻碍了DDDM在高等教育水平的使用。本研究的目的是收集有关教学实践的高质量数据，根据这些数据为高等教育决策者准备报告，并随后检查这些数据在教学改革决策中的使用。所使用的核心工具是实践教学系统（ISOP）框架。ISOP是作为一种研究教师教学的方法而发展起来的。它旨在改进现有的教学数据源，如自我报告调查、非结构化观察或学生评分。ISOP将教学定义为一个多维度的实践，包括课程规划、课堂实践和学生对教学效果的理解。运用教学维度观察协议（TDOP）对课堂实践进行了研究。三所大学的STEM教育领导者承诺使用ISOP框架来帮助指导他们的决策。预计三所大学的参与将更详细地确定ISOP框架可以在多大程度上用于加强DDDM和努力转变本科STEM教育。该研究将使用纵向混合方法案例研究设计来研究三所研究型大学三年的决策和教学实践，这些大学有积极的STEM教育项目。此外，该项目还计划为管理人员和STEM教育领导者提供专业发展机会。智力优势：ISOP框架是一种创新的多学科方法，它借鉴了认知科学、自然主义决策和教育研究的既定方法。这样做的方式有望为行政决策和教师实践背后的动态提供新的知识，并为STEM教育研究提供更好的方法和措施。更广泛的影响：本研究将确定ISOP框架可以在多大程度上用于本科STEM教育计划的独特背景。它有可能对美国的研究人员、教育工作者和政策制定者产生重大价值。