An Evaluation Framework for Data Driven Instructional Decision Making

该倡议提出了一个为期三年的项目，以审查以技术为基础、以数据为导向的教学决策工具、它们的实施、它们的有效性以及对不同层次的学校系统(即行政人员和教师)的影响。研究问题包括是否可以使用工具促进决策，以及如何使用这种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 Growth Network-一种基于Web的测试报告系统，它分解了IBM重新发明的教育仓储项目的州测试数据-为教育工作者等提供了访问从出勤到考试成绩和等级的广泛数据的途径。O无线生成--供教师使用的手持技术，用于对3-4-4年级学生的数学学习进行持续的诊断评估。计划是开发和验证一个评估框架，该框架将在系统观点的背景下，在多个层次使用多种方法(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.