Concurrent Session XII Presentations


Friday, August 1, 2014
11:30 am – 12:30 pm


XII–A: Assessing Education and Employment Outcomes of Career and Technical Education (CTE) Graduates

Carol Jenner and Tim Norris, Washington State Office of Financial Management

    Comprehensive P–20W data systems provide a rich source of information that can be used to examine the postsecondary education and employment outcomes of high school career and technical education (CTE) program completers. State and district CTE administrators have requested a variety of outcome measures for CTE graduates, including postsecondary enrollment, credential attainment, employment, and employment characteristics (e.g., industry of employment, full-time/ part-time status, earnings). This information is used for mandatory reporting, program evaluation, and planning. The presenters will discuss (1) how CTE-related data are handled in the Education Research and Data Center’s P–20W “PRO” data model; (2) education and employment data sources; and (3) the development of feedback information for local CTE administrators.

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XII–B: Using Statewide Longitudinal Data System (SLDS) Data to Demonstrate the Impact of Effective Teachers in Tennessee (CANCELLED)

Nathaniel Schwartz, Tennessee Department of Education
David Silver, Bill & Melinda Gates Foundation
Karen Levesque, RTI International

    This session presents the results of an analysis of the impact of effective teachers on student learning in Tennessee. The analysis was conducted using the Evaluation Engine, which transforms state longitudinal data into a powerful tool for obtaining quick-turnaround, quasi-experimental results of the impact of education interventions, while protecting the confidentiality of underlying student data. Presenters will discuss the study results and the potential of statewide longitudinal data system (SLDS) data for making rigorous research more accessible and less costly for state and local practitioners, researchers, and policymakers.

XII–C: Inclusive State Data Systems: Policy and Practice

Rachel Zinn, Workforce Data Quality Campaign
Catherine Imperatore, Association for Career and Technical Education (ACTE)
Tim Harmon, Center for Law and Social Policy
Bryan Wilson, National Skills Coalition

    Many states are expanding their data systems to capture a broader range of students, programs, and outcomes. This session will outline a blueprint for more inclusive state data systems and provide examples of federal and state policies that support cross-program data linkages. Speakers will explain how inclusive data systems can be used to measure the attainment and value of credentials, including certifications awarded by industry; assess progress through career pathways; and create tools to show policymakers the results of their investments across the education and workforce spectrum.

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XII–D: Postsecondary Success: Technical Considerations for Linking National Student Clearinghouse (NSC) Data to District Data

Michael Tith and Anya Dudek, Center for Education Policy Research at Harvard University
Brandi Bakshi and Jeffrey Davis, Nassau Board of Cooperative Educational Services (New York)
Monica Martinez, Elizabeth Public Schools (New Jersey)

    Educational agencies have made great strides in improving the quality of student achievement data to more effectively understand postsecondary success. Agencies have started to use National Student Clearinghouse (NSC) data that allows them to tackle key college readiness questions. Using their own agencies’ data, Nassau Board of Cooperative Educational Services (BOCES) and EPS have utilized the SDP Toolkit to answer key questions about student high school completion, what it means to be on-track to graduate, and postsecondary enrollment and persistence. This session will provide an overview of the SDP Toolkit while also demonstrating the applicability of this resource to analysts in education agencies working on postsecondary success initiatives.

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XII–E: Arizona Ready-for-Rigor Data Dashboard: Ongoing Use in a PK–12 Educational Environment

Ann Nielsen, Barnaby Wasson, Kelly Morris, Veronica Malone, Robert Morse, and Angelia Linder, Arizona State University

    This session will describe the dashboards Arizona has created dashboards to support teacher-effectiveness assessment efforts during preservice and inservice activities. Arizona State University’s (ASU) iTeachAZ Data Dashboard is a tool created to support teacher candidate achievement. It provides an online environment where teacher candidate performance data is securely reported and visualized to all stakeholders. The dashboard displays data collected by student teaching supervisors from walkthroughs, performance assessments, notebook checks, progress reports, and attendance. The dashboard is changing the way the Teachers College uses data to support and measure student success. The session also will describe the Arizona Ready-for-Rigor (AZRfR) Data Dashboard, which was developed to provide school leaders and teachers access to data that supports improving teacher effectiveness. The AZRfR Data Dashboard is a tool to store and capture student-to-teacher roster connections; student demographic, achievement, and growth data; and teacher professional development in relation to student data. This presentation will review the latest advancements in the project structure, Year 4 successes and additions, analytics of end users, and next steps in relation to this data.

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XII–F: ISLE ODS—Data Collection in the Cloud (CANCELLED)

Jim Peterson, Bloomington School District 87 (Illinois)
Aziz Elia, CPSI, Ltd.

    Bloomington District 87 is part of a 35-district Illinois Race to the Top Phase 3 grant pilot that is collecting data and using validation toolsets to accomplish its goals. The objective is to allow educators access to data, resources, and tools that will enhance student performance. The project incorporates real-time Extract, Transform, and Load (ETL) and validation options to provide data to a central, cloud-based data store available for Illinois school districts to allow interoperability among student data, student achievement, and learning. Bloomington District 87 will explain their current status in deployment and present the dashboard in the deployment, including the dashboard developed by Illinois Interactive Report Card (IIRC), their vision of the real-time architecture using Schools Interoperability Framework (SIF), and the underlying data center “infrastructure as a service” (IaaS)/“software as a service” (SaaS)—called IlliniCloud.

XII–G: A Review of State Approaches to Individuals With Disabilities Education Act (IDEA) Coordinated Early Intervening Services Reporting

Dave Phillips, WestEd
Jody Fields, University of Arkansas at Little Rock
Chris Thacker, University of Kentucky

    The Individuals with Disabilities Education Act (IDEA) allows, and sometimes requires, local educational agencies (LEAs) to use funds provided under Part B of the IDEA for Coordinated Early Intervening Services (CEIS) for nonspecial education students. There are multiple data collection and reporting requirements associated with the use of these funds for CEIS, and staff from the IDEA Data Center will review how a diverse subset of states and their local education agencies (LEAs) are working to meet those requirements. Both aggregate and student-level reporting approaches will be reviewed.

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XII–H: Public Data Reporting Tools That Enable District and School Comparison and Trend Analysis

Lien Hoang and Sarah Carleton, Massachusetts Department of Elementary and Secondary Education

    The Massachusetts Department of Elementary and Secondary Education developed a set of District Analysis and Review Tools (DARTs), which turn the department’s vast amount of data into valuable and easily consumable information. These publicly available, Excel-based DARTs offer snapshots of district/school performance, allowing users to easily track select data elements over time and make meaningful comparisons to the state or to comparable organizations. This session will provide an overview of the DARTs and the “comparables selection” algorithm, and it will highlight some of the unique indicators developed in the areas of staffing and finance, English language learners, and students’ success after high school.

XII–I: Feel the Power of Your Common Education Data Standards (CEDS) Data: Actualize It With Schools Interoperability Framework (SIF)

Vicente Paredes, SIF Association
Jim Goodell, Quality Information Partners, Inc.
Aaron Harte, Houghton Mifflin Harcourt (HMH)

    This session will explain how to implement Common Education Data Standards (CEDS) data elements using the SIF data model. The Schools Interoperability Framework (SIF) Data Model, Version 3, includes the complete set of CEDS data elements. The SIF CEDS objects may be used as stand-alone elements or may be used to extend regular SIF objects where CEDS elements are needed. We will cover important issues in creating a physical model using CEDS; for example, where to create a repeating element and how to ensure the normalization of data. eXtensible Markup Language (XML) examples will demonstrate how SIF data structures can contain CEDS elements.

XII–J: The Evolution of the Ed-Fi Ecosystem—How Free and Fee Assets Will Support Your Enterprise Architecture

Christian Heneghan, South Carolina Department of Education
Matt Betts, Level Data

    This presentation will detail South Carolina’s next-generation plan to leverage both free and fee assets to improve the quality, availability, timeliness, and use of education data. Come learn how Ed-Fi, Common Education Data Standards (CEDS), master data management techniques, and managed integration services (Level Data) can be used to deliver better data, better service, and lower operational costs. If you have ever been frustrated by efforts to coordinate your state and local education agency data collection and reporting activities, then this presentation will be of interest to you.

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