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K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 1 K-12 Data Standards and the U.S. Department of Education Accomplishments.

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Presentation on theme: "K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 1 K-12 Data Standards and the U.S. Department of Education Accomplishments."— Presentation transcript:

1 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 1 K-12 Data Standards and the U.S. Department of Education Accomplishments and Milestones related to EDFacts Ross Santy, Office of Planning, Evaluation and Policy Development Acting Director, Performance Information Management Service U.S. Department of Education

2 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 2 Classrooms School Campuses State Education Agencies U.S Department of Education Local Education Agencies / School Districts The Education Data Supply Chain

3 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 3 Classrooms School Campuses Local Education Agencies / School Districts State Education Agencies U.S Department of Education EDEN The Education Data Supply Chain

4 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 4 What is EDEN? Education Data Exchange Network – launched November 2004 Used by SEAs to submit state, district and school level data to USED Organized into Data Groups, Categories and File Specifications –Data Framework and other documentation available at http:www.ed.gov/edfacts

5 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 5 Performance Data at ED: A Recent History  PBDMI  The Performance Based Data Management Initiative (PBDMI) began in 2003 with the challenge of building a central repository and unified supply chain for USDOE’s K-12 educational data. It concluded in September 2005.  EDEN:  PBDMI Created the Educational Data Exchange Network (EDEN):  Functional system used to collect data from all states  Collection began with 2003-2004 school year  2006-2007 collection began in January, currently merging with NCES/CCD  EDFacts:  The way ED utilizes data  Analysis and Reporting tools for data across programs  Available to all states on the data they submit

6 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 6 What is EDFacts? Data reporting tool launched in Spring 2006 Accessible to ED Program Offices and one user per SEA Current EDFacts data organized into 6 areas: –Submission Status Reports –Special Education Programs 618 Tables –Charter School Reports –Consolidated State Performance Report data –Education Community Profiles –Internal Grants (GAPS) Data* * ED access only

7 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 7 Policy/Program/Information Office Partnerships Goal: Build new partnerships that will allow programs, through utilization of the information technology tools brought forward, to expand their own expertise and help set better policy

8 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 8 Promoting Data Culture Change at States and at ED Systems Development –Information Technology initiatives are building unit-level record systems States: student level longitudinal systems ED: school level “snapshot” systems –Placement is critical States: EDEN/EDFacts coordinator is often in information office ED: EDFacts is in the policy office

9 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 9 State Data Submissions

10 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 10 State Data Submissions

11 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 11 Key Challenges State capability to collect and report data Overcoming historic process Stability of LEA – State – Federal data definitions Protecting against users deriving faulty assumptions from the data

12 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 12 Core Issue: Data Definitions Programs at USED are accustomed to asking questions of program experts Transition to leverage data systems in place at SEAs has not been made EDFacts Data Groups are defined at the aggregate in plain English There does not exist a USED recognized student level K-12 data standard

13 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 13 Example: Questions from the Consolidated State Performance Report CSPR: “Please provide the number of students who were eligible to receive supplemental educational services under section 116 of Title I during the 2005- 2006 school year” CSPR: “Total Number and Percentage of all students identified as LEP at Basic or Level 1 on the state’s English language proficiency (ELP) assessment” CSPR: “Number of McKinney-Vento subgrantees reporting ‘Eligibility for homeless services’ as a barrier”

14 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 14 Example: An EDFacts Data Group #578: Supplemental Services - Eligible to Receive Services: – The unduplicated number of students who were eligible to receive supplemental educational services under section 1116 of Title I, Part A during the school year.

15 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 15 Current Activities Every state is developing or planning to develop a statewide longitudinal student data system (as evidenced by SLDS grant applications received) NCES has engaged the Schools Interoperability Framework Association to develop a generic K-12 school and district data model EDFacts team is examining ways to utilize the student-level definitions within the SIF v2.0 data schema to ensure cross-state data consistency

16 K-12 Data Standards in Education  4 th Annual Conference on Technology and Standards 16 Stages of Interoperability Semantic Interoperability Structural Interoperability Syntactic Interoperability Adapted from Daconta, Orbst, and Smith (2003) Vocabulary Taxonomy Thesarus Conceptual Model Logical Theory Axiology Controlled Vocabulary List Glossary Relational Model,XML DB Schema, XML Schema ER Model Topic Map OWL UML RDF/S Where is P-20 education on this line, and where should we be?


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