
| Conference Agenda (344 KB) |
| I-D | The Effective Use of Data to Improve Instruction | ||||
John Brainard, Pueblo School District No. 60, CO |
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The power in longitudinal data systems lies in their ability to inform curriculum and classroom instruction to increase student achievement. The panelists discussed their efforts in using student data to improve student achievement. The assessment program in Pueblo District 60 is designed as a comprehensive assessment system that not only assesses student achievement, but also attempts to continuously improve the instructional program, utilizing classroom, district, and state assessments. Alaska reorganized the assessment system to provide coherent and consistent information regarding individual student, group, and school achievement in a manner that is directly tied to the state-adopted standards and grade level expectations. |
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| II-D | The Effective Use of Data to Improve Instruction | ||||
| Cory Curl and Mary Reel, Tennessee Department
of Education Molly Schaeffer, Poway Unified School District, California |
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The power in longitudinal data systems lies in their ability to inform curriculum and classroom instruction to increase student achievement. The panelists discussed their efforts in using student data to improve student achievement. Poway Unified School District has put in place a customized web-enabled data system, paired with a benchmark-assessment tool, which guides the work of teachers in classrooms. Tennessee administrators and teachers use web-based data tools to inform curriculum and instructional strategies for accelerating student academic growth toward state learning standards and ACT college-readiness standards. |
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| III-D | Best Practices in IT Project Management | ||||
| Marty Daybell, Washington Office of Superintendent
of Public Instruction Bob Bellamy, Better School Business |
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Typically, state education agencies as well as local education agencies are not staffed or equipped with adequate resources (personnel, environment, and skills) to undertake a large information technology project, such as the development of a comprehensive longitudinal student data system or educational data warehouse. This workshop presents key considerations and factors for success in the design, development, management, and delivery of these systems. |
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| IV-D | Building Political Support and Will to Build and Use Longitudinal Data Systems | ||||
| Jay Pfeiffer, Florida Department of Education Robert McGrath, Pennsylvania Department of Education |
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As a data manager, you understand and believe in the power of longitudinal systems, but in most states, educational longitudinal data have received little time in the policy and political spotlight. Hear how Florida and Pennsylvania have built champions for their data systems. |
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| V-D | SEA Data Services to Districts | ||||
| Timothy Webb, Tennessee Department of Education Howard Woodward, Georgia Department of Education |
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Tennessee was one of many states participating in the Council of Chief State School Officer’s Decision Support Architecture Consortium (DSAC). DSAC was tasked with conducting state specific analyses of existing data systems and providing recommendations for improvement. Through this model, state education agencies could support their local education agencies in designing and developing a Decision Support Architecture to improve efficiency and data quality at the local level. Georgia provides districts with data management and business intelligence services with both student and financial data. Soon they will link with a teaching/learning and assessment system. |
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