A United States public school district is transforming how it ensures students' academic success. Utilizing research on maximizing student success through prevention and early interventions, the program has redefined what the education partners-students, parents, and staff-need to do to ensure all students achieve, regardless of ethnicity and exceptionality. The presenter provides a progress report two years into implementation.

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How One School District Ensures Academic Success for All Students:
One Year Out Update (1.46 MB)

Ohio is a leader in collecting and reporting student data via the Electronic Management Information System (EMIS). Employees responsible for reporting student data can be secretaries or administrators with education ranging from no high school diploma to a Master's Degree. The Ohio Association of EMIS Professionals (OAEP) has developed a professional development plan designed to account for education differences, while at the same time providing learning opportunities that could lead to eventual State Licensure. This session will review that plan from its inception.

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A Professional Development Plan for All Ohio Data Entry Personnel
(3.02 MB)

This interactive session will demonstrate how the State of South Dakota collects and manages local education agency data using an integrated statewide system. Learn how flexible data collection, real-time student tracking, and data warehousing support programs like No Child Left Behind (NCLB), Individuals with Disabilities Education Improvement Act, National Assessment of Educational Progress, Common Core of Data, and the Education Data Exchange Network. See a live demonstration of unique student ID assignment, district-to-district student data transfer, and electronic transcript publishing and web-based NCLB report card generation.

See Session IX-D for description.

The National Center for Education Statistics Common Core of Data (CCD) assigns a geographic locale indicator to schools and school districts, and these locale assignments are used for a variety of analytic and program purposes. The current CCD locale typology employs Metropolitan-centric criteria that cause conflicts for some locale categories. This presentation briefly reviews these conflicts, and then discusses a modified typology designed to address these issues. The discussion concludes with a brief review of the advantages of the proposed typology, and how it would likely affect the current CCD locale distribution.

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Accessing School Districts boundaries and school locations maps
at the NCES School District Demographics System (3.10 MB)

Partnering with the Central Susquehanna Intermediate Unit, the Schools Interoperability Framework Association (SIFA) is proud to introduce our first online coursework. It was built upon the eSchool Builder course management system, a powerful browser-based application developed for K-12 educators.

SIFA University's online coursework will assist users in gaining knowledge of Schools Interoperability Framework technologies. This exciting and latest addition to the suite of tools provided by SIFA will address basic and advanced knowledge of the specification to improve implementation and planning issues.

Learn what states and districts can gain by using the tool. A primer on the use and content of the coursework and ideas for a successful rollout will be presented.

The Program Assessment Rating Tool (PART) is the Administration's tool to assess program performance. How do programs present a compelling story when undergoing a PART review? This session will address the role and the importance of valid, reliable, and timely data in the PART process and how the Education Data Exchange Network will be helping programs demonstrate program results. The PART is data-driven. With this perspective, we will review the scoring interrelationships of PART, the types of information sought, and the role of high-quality data in determining PART results. This session highlights the importance and the use of high-quality data in the PART process.

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The Need for High Quality Program Data in the PART Environment
(1.22 MB)

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