Jill Abbott and Larry Fruth
Schools Interoperability Framework Association

The Schools Interoperability Framework Association has focused its initial development and drive around interoperability between administrative applications, vertical reporting, and the infrastructure standards necessary for the seamless transfer of data. The long-term vision of the association has been to facilitate this transfer of data to inform the teaching and learning process, ultimately leading to increases in student achievement. While some data objects exist for the teaching and learning process, a strategic direction and framework have been developed to build upon this work. This framework was discussed to enable interoperability between teaching and learning applications in order to impact the classroom.

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SIFA's Teaching and Learning Framework

(586 KB)

Frank Johnson and Julia Bloom, National Center for Education Statistics

Annual average teacher salary data for public school teachers across the nation are currently available from the teacher unions only. NCES has initiated the collection of data for calculating and publishing an average teacher salary statistic. This session reviewed the issues regarding collecting average teacher salary data and what plans are in motion for collecting and reporting these data.

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Teacher Survey: A plan to collect some basic data on teachers - Frank Johnson	(44.3 KB)
Average Teacher Salary Computations Across the Country - Julia Bloom	(30.8 KB)

Ross Santy and Gerald Kehr, U.S. Department of Education

A number of data analysis and presentation tools have been developed for the Education Data Exchange Network (EDEN) team and U.S. Department of Education program managers. In this session the presenters discussed how the EDEN data and data analysis tools will support the work of federal elementary and secondary education program managers and analysts. The presenters also discussed how states can access EDEN data and these data analysis and reporting tools.

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EDFacts From a Federal Program Office Perspective

(572 KB)

Todd Hughes, Durant Public Schools, Oklahoma
Joe Kitchens, Western Heights Public Schools, Oklahoma

The power in longitudinal data systems lies in their ability to inform curriculum and classroom instruction to increase student achievement. The presenters discussed their efforts in using student data to improve student achievement. The efforts in both Western Heights and Durant provide teachers, parents, administrators and other stakeholders with real time access to valued multi-source trend data that validates the efficacy of school improvement efforts.

Judith Barnett, Central Susquehanna Intermediate Unit, Pennsylvania
Jerry Hottinger, Pennsylvania Department of Education

The Pennsylvania Department of Education (PDE), in partnership with the Central Susquehanna Intermediate Unit, has developed a comprehensive crosswalk between the PDE Data Dictionary, National Center for Education Statistics Handbooks, and Schools Interoperability Framework objects and elements. The crosswalk will be a supportive tool in the development of the new Pennsylvania Information Management System (PIMS). The session provided an overview of the project and deliverables, followed by a question and answer period.

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Results of Pennsylvania's Data Dictionary Crosswalk Project

(546 KB)

Irene Spero, Consortium for School Networking

Data-driven decisionmaking is an evolving process—moving from the collection of the data, to the reporting and analysis, and finally to their use for targeted interventions. Research from the Consortium for School Networking’s Data-Driven Decisionmaking Initiative, www.3d2know.org, indicates that most districts are making progress in the collection, reporting, and analysis of the data, but are lagging behind in its use for targeted interventions. This presentation focused on best practices in the use of data for targeted interventions.

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Using Data For Targeted Interventions

(961 KB)

Marta Burgin, South Carolina Department of Education
Barbara Andrepont, ESP Solutions Group

Hide and Seek, Chase, Tag, Hop Scotch, Musical Chairs, Marco Polo, and Red Rover should all be avoided in education data management. Education enterprise data management supports best practices in collecting, storing, analyzing, and reporting our data. States are developing metadata dictionaries and documenting data collections, repositories, and reports, and relationships across data elements, definitions, and code sets (option lists). We discussed South Carolina’s goals in initiating its data inventory project, and referenced other state data inventory projects.

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Data Management: Not Child's Play

(822 KB)

Marguerite Roza and Kacey Guin (presenter), University of Washington

As accountability focuses attention on achievement gaps, many districts struggle to link spending with the performance of various student subgroups. This study seeks to examine spending ratios across student subgroups, highlighting and explaining typical and atypical spending patterns for major types of student needs across states, districts, and schools.

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How Much for This Child? How Federal, State, and Local Funding Streams Influence How Much is Spent on Different Types of Students.

(1.70 MB)

Vincent Kelso and Gary Policastro, Fairfax County Public Schools, Virginia

Fairfax County Public Schools has developed the Education Decision Support Library (EDSL) to manage No Child Left Behind (NCLB) initiatives, assist schools in monitoring their progress in meeting Adequate Yearly Progress, and highlight instructional areas needing attention. This session examined how users can quickly use EDSL to understand their demographics, program participation, and student achievement disaggregated by the NCLB subgroups. Users of EDSL can quickly identify those students needing instructional assistance and apply the appropriate resources to help our students. Principals at schools are able to leverage the data in EDSL to guide staff in faculty meetings, identifying areas of focus for instructional planning. EDSL allows schools to review student achievement patterns longitudinally over time, but also to respond immediately to a student’s individual situation.

Jeff Decker, Wayne-Finger Lakes Educational Technology Services, New York
Bill Gowan, Phelps-Clifton Springs School District, New York
Aziz Elia, Computer Power Solutions of Illinois

Wayne-Finger Lakes is in the process of implementing a data integration project with its area districts. The ultimate goal is to create a central data warehouse based on the Schools Interoperability Framework (SIF) standard using a combination of SIF agents and SIF-based ETL tools designed to extract data from applications. We shared how the solution is designed, the status of the pilot districts, and future plans.

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SIF Data Integration

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