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III–A | Using State Elementary and Secondary Education Data for Leadership, Accountability/Monitoring, Program Analysis, Reporting and Evaluation This session will describe how the U.S. Department of Education and the Office of Elementary and Secondary Education use data submitted by the states for leadership, accountability/monitoring, program analysis, reporting and evaluation. State participants, particularly those responsible for collecting and using data relating to the , can see how state data are put into action at the federal level, with ideas for state use of data. Download Zipped PowerPoint Presentation: |
III–B | Arizona Education Data Warehouse—A Live Demonstration of the Data Warehouse Nancy Quinn, Arizona Department of Education This session will consist of a live demonstration of the Arizona Educational Data Warehouse (AEDW). The first 15 minutes will explore the External User Interface which includes the Data Dictionary, E-Learning Training, a Reference/Support area and the Analysis section. During the next 35 minutes, a sampling of reports will be shown demonstrating the actual use of AEDW measures and the Excel 2007 end user tool. The final 10 minutes will be open for questions. |
III–C |
How to Use the National Education Data Model Version 2.0 The new version of the National Education Data Model has just been released. It is a tool designed to help state and district data managers and developers as well as those writing RFPs for data services and statewide data systems. The presenters will walk through real examples to show participants how resources can be used to improve their work. Download Zipped PowerPoint Presentation: |
III–D |
Student Identification—Solidifying the Critical Link Unique identification of students throughout their academic life is critical to effective longitudinal data systems (LDS). A significant challenge facing state education agencies (SEAs) is how to bring the wide variety of locally managed student data systems that often exist across a state into one common system for unique identification of the students. Although states are moving towards establishment of statewide student identification systems, the reality is that local districts manage a wide variety of data sources for student data. This panel will discuss the practical implications associated with various methods for submitting student identification information including: schools interoperability framework, web services, automatic file processing and batch upload. The panel will also discuss directions SEAs and vendors should consider as LDS expand beyond K–12 to P–20 and workforce. |
III–E | A FERPA Compliant Dual Database Architecture for Interagency Data Sharing In a harsh assessment of statewide longitudinal data systems (SLDS) programs, a policy review from Fordham Law School led the director of the research to conclude that "states are trampling the privacy interests of students." The study recommends a dual database architecture to protect student privacy. As states move to include data from other agencies in their SLDS programs, privacy concerns will increase dramatically and Family Educational Rights and Privacy Act (FERPA) compliance becomes even more difficult. This presentation will demonstrate a dual database approach along with a unique matching algorithm for longitudinal data developed by the Arkansas Department of Education and the University of Arkansas at Little Rock. |
III–F | Statewide Data Collection, Analysis and Reporting—A Case for Career and Technical Education and Perkins Accountability Federal and state funding requires data for accountability to determine the achievement of career and technical students. In Iowa, different data sources are used for secondary and postsecondary to meet these requirements. In the postsecondary, Iowa uses the community college management information system, unemployment insurance data, and the National Clearinghouse's data to determine student progress. The secondary data utilizes the Project EASIER and CTE-Plus data to assess student achievement. Due to the diversity of data sources in most states, attendees will focus on collection of valid and reliable data, the analysis, the interpretation and reporting. |
III–G | Data Exposition and Exploration: Lessons Learned From the NAEP Website Redesign The National Assessment of Educational Progress (NAEP) is charged with providing accurate and engaging information on the health of the nation's students, and the website was recently redesigned to report NAEP data to meet a variety of differing demands. This session will cover lessons learned from designing spaces for data exposition as well as exploration. In particular, the discussion will focus on using Flash charts, interactive features, and third-party Application Programmer's Interfaces to display complex data for use by the general public. Potential avenues for further developments will also be covered. Download Zipped PowerPoint Presentation: |
III–H | A SMART Tool for Accessing Data From Statewide Longitudinal Data Systems for Local Improvement With states across the country under mandates to build better longitudinal data systems, the SMART Tool ensures that data do not just sit on servers and fill accountability reports. With familiar point-and-click and drag-and-drop commands, the SMART Tool disaggregates years of transcript-level data, instantly disaggregated by a host of other student and institutional variables. It can do this for entire student cohorts or just those on certain tracks or in particular courses and without jeopardizing the privacy of student records. This presentation will include a demonstration of the tool and panel discussion of its value. Download Zipped PowerPoint Presentation: |
III–I | Real-Time Data Management to Improve Your Data Quality Using schools interoperability framework can enhance and change the district business processes as well as show real-time data interoperability, data cleansing, and cost savings at both the district and state levels. A demonstration of the data extraction and data cleansing process will show how data can be modified in real time for more accurate state and district reporting. |