An Evaluation Framework for Data Driven Instructional Decision Making

PI提出了一个为期三年的项目，以检查基于技术的数据驱动的教学决策工具，其实施，其有效性和对各级学校系统的影响（即，管理人员和教师）。 研究问题包括工具是否能促进决策以及如何使用这些工具和数据来加强教学。调查人员将利用目前三个项目的工作，每个项目都侧重于开发/实施一种不同的工具，供教师评估学生的进步。它们是：o Grow Network -一个基于Web的测试报告系统，它分解了状态测试数据o IBM Reinvention Education Warehousing项目-为教育工作者等提供了访问从出勤到测试分数和等级的广泛数据的途径。o无线生成-教师手持技术，用于对3-4- 4年级学生数学学习进行持续诊断评估计划是制定和验证一个评估框架，该框架将在系统观点的背景下制定，在多个层面使用多种方法（形成性和总结性），包括系统分析。

The PI proposes a three -year project for the examination of technology-based, data driven instructional decision-making tools, their implementation, their effectiveness and impact on different levels of school systems (i.e., administrators and teachers). Research questions include can tools facilitate decision-making and how to use such tools and data to enhance instruction. The Investigators will leverage work from three current projects, each focused on the development/implementation of a different tool available for teachers to assess student progress. They are: o Grow Network - a web-based test reporting system, which disaggregates state test data o IBM Reinvention Education Warehousing project - offers educators, etc. access to a broad range of data from attendance to test scores and grades. o Wireless Generation - handheld technology for teachers for on-going diagnostic assessment of student math learning at grades 3-4-4The plan is to develop and validate an evaluation framework, which will be developed within the context of a systems perspective, using multiple methodologies (formative and summative) at multiple levels, including systems analysis.