This session will focus on a partnership to produce the deliverables for the Longitudinal Data System Grant; suggested ways to share those deliverables with other states; how we may share procurement of technologies and services; how we have formed partnerships within the State Education Agency (SEA), Wisconsin in particular; along with the integration of data within the SEA. Wisconsin will highlight the involvement of all education constituencies which identified Data Ambassadors to attend the State Superintendents "Data Summit for Successful Schools" in order to develop feedback about data, what questions data should answer, and what data we should collect at the state level.

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WI Longitudinal Data System to Support Education Improvement (2.33 MB)

Have you wondered how to publish data from your organization's different operational systems in an easily accessible, usable format to your internal customers and the general public? The Information Technology Department at Fairfax County Public Schools has developed the Education Decision Support Library as an enterprise-wide decision support system supporting an integrated data cleansing process, so data-driven decisions are made on the most accurate data available and provide the public with an accurate, supportable view of the demographic, performance, staffing, and safety of all of our schools.

The New Mexico Public Education Department (PED) has been collecting student and staff level detail data since 1997. The Department has initiated an ambitious project, the Student Teacher Accountability Reporting System (STARS), to improve the quality of student and staff data collected and to provide a robust data reporting and analysis environment for use by PED and the New Mexico school districts. The project will be a quantum step forward in providing feedback, reporting, and data analysis capabilities to the districts on the data that they are submitting to PED. This presentation will describe where PED has been in terms of collecting student and staff data and their vision for the future of the STARS project which includes the implementation of a commercial data warehouse and decision support environment.

The Office of Evaluation and Reporting has created several different growth models in developing the proposal for including growth in the federal Adequate Yearly Progress determinations under No Child Left Behind. During this presentation all the models developed in the process of selecting the best model will be discussed and evaluated to show how and why the Florida Department of Education selected the model best designed to improve student achievement and accurately measure student progress to proficiency.

The National Forum on Education Statistics is developing the Forum Guide to Virtual Education, which represents a collaborative effort between the Forum, the State Educational Technology Directors Association, and the Schools Interoperability Framework Association. The publication aligns, modifies, and proposes definitions of education data elements to better meet the information and reporting needs unique to a virtual/distance education setting. Representatives of the development team will offer an overview of the publication and instructions for accessing it at no cost in paper form or online.

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Forum Guide to Virtual Education: In Search of High Quality Data
to Support Distance Learning (466 KB)

Technology integration doesn't happen overnight. This session will take an inside look at the step-by-step processes and challenges a large, urban school district took to effectively roll out a significant technology initiative to create a solution that would benefit the entire district. Not only will participants learn about the process, but they will learn about the technology platform Chicago Public Schools successfully implemented—Instructional Management Solutions (IMS)—as well as how the IMS worked in parallel with a new student information system. Participants will see the benefits IMS will provide to the district, from administrators down to the student level.

The Performance Based Data Management Initiative (PBDMI) has pioneered the development of an elementary and secondary data model for the U.S. Department of Education. PBDMI staff worked with education data experts and the Enterprise Architecture Team of the Office of the Chief Information Officer to develop the data model upon which the Education Data Exchange Network (EDEN) data repository is built. The data dictionary for EDEN was developed upon the foundation laid by the many Data Handbooks created by the states and the National Center for Education Statistics. This session will discuss the process, lessons learned, and current status of this work. Also discussed will be the future processes to improve and extend this enterprise data dictionary.

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