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NCHEMS Lumina Project on InterState Student Mobility

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... Databases (K-12, UI-Wage, DMV, etc.), but Little Experience in ... Matches Will Take Place Within Secure Web-Enabled Database at Ohio Board of Regents ... – PowerPoint PPT presentation

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Title: NCHEMS Lumina Project on InterState Student Mobility


1
NCHEMS Lumina Project on Inter-State Student
Mobility
  • Peter Ewell
  • SHEEO/NCES Network Conference
  • March 31, 2004

2
Origins and Background Lumina Interest
  • No Comprehensive Source of National Data on
    Retention and Program Completion Beyond
    Institutional Unit of Analysis
  • Federal Studies Indicate that Over 55 of
    Students Attend Multiple Institutions in the
    Course of Earning a Baccalaureate Degree
  • More than 30 of Multiple Attenders Cross State
    Lines
  • State Unit-Record Databases a Potential Way to
    Generate Better Information About Retention and
    Program Completion

3
Resulting State Unit-Record Database Inventory
Following the Mobile Student
  • Looked at 46 Databases in 39 States
  • Contents Cover 73 of Nations Headcount
    Enrollment
  • Growing Number of Independent Colleges
    Participate
  • Data Structures and Definitions Compatible for
    Core Data Elements

4
Key Data Elements in Common
  • Demographic (Gender, Ethnicity, DOB, Geographic
    Origin)
  • Academic Activity Levels (Full-time/Part-time,
    SCH Enrolled, etc.)
  • Program of Study
  • Degree/Program Completion by Field

5
Other Data Elements (Less in Common)
  • High School Records
  • End of Term Data (e.g. Credits Completed,
    Grades)
  • Prior College and Transfer Credit
  • Transcript-Level Detail

6
Some Specific Features Across States
  • Multiple Databases in Some States
  • Growing Experience with Linking Data to Other
    State Databases (K-12, UI-Wage, DMV, etc.), but
    Little Experience in Linking with Other States
  • Virtually all use SSN as Key Link
  • Despite Compatible Data Contents, Differing
    Designs and Reporting Cycles
  • Many Systems Getting Old and Hard to Maintain

7
Challenges in Using Linked SURs
  • Privacy Issues (FERPA and Other
    RegulationsIncluding IRBs)
  • The Thorny Problem of Student Identifiers (SSN,
    Encryption, Directory Matching)
  • Technical Issues and Considerations (Size,
    Database Environment, Cost, Personnel
    Availability and Training)

8
Resulting Recommendations
  • Considerable Potential for Linking SURs to Yield
    Additional Information About Student Progress
  • Supplement not Supplant Other Efforts
  • Develop Common Definitions and Reporting
    Standards
  • Develop New Approach to Student Identifiers
  • Begin Efforts with Voluntary State Consortia

9
Current NCHEMS/Lumina Feasibility Study on
Exchanging Data Among States
  • Goal Examine Utility to State and Institutions
    of Linking Student Record Information Across
    State Lines
  • Convene Expert Panels on Policy and Technical
    Issues
  • Limited Demonstrations in Several States
    Interested in Participating
  • Develop Protocols and Documentation to Assist in
    Future Data Exchange Efforts

10
(No Transcript)
11
Key Elements of the Concept
  • Multiple SURs Maintained Independently
  • Secure Data-Matching Environment
  • Set of Core Data Elements with Common Definitions
    and Data Structures
  • Standard Input Protocol
  • Output Report (or File) Containing Matched Data

12
Other Recommended Features
  • Modular Design (e.g. Basic and Enhanced Sets of
    Data Elements)
  • Matching Capabilities to Link with Multiple
    External Records (e.g. High School, UI, etc.)
  • Web-Enabled Data Exchange, Where Possible
  • Outsource to Limited Number of Service Providers
  • Common Guidelines to Address Security and Privacy
    Issues (Toolkit)

13
Advice from Policy Leaders
  • Principal Applications Should Address the
    Educational Pipeline and Workforce Development,
    not Student Progression per se
  • Other Key Questions Include Return on Investment
    for State Financial Aid, Effects of Tuition
    Policy, and Program Competitiveness
  • Adopt a Decentralized Need-Based Approach, not
    a National Database
  • Involve Institutions from the Outset for Buy-In

14
Addressing the Privacy Issue
  • The Problem Is Less FERPA than the Perception of
    FERPA
  • Resulting Situation Ambiguity Means the Easiest
    Answer is No
  • Getting Beyond this Requires Following Protocols
    of Best Practice States (e.g. FL, TX, MO, OK)
  • Will Also Seek Clear Common Rulings and
    Interpretations from USDOE, Labor, etc.

15
Objectives of Cross-State Demonstrations
  • Assess Added Informational Value Gained through
    Exchange
  • Uncover any Additional Definitional/Data
    Structure Issues
  • Demonstrate Compatibility with FERPA, etc.
  • Develop Best Practice Approaches to Reporting

16
Key Features of the Proposed Exchange Between
Kentucky and Ohio
  • Matches Will Take Place Within Secure Web-Enabled
    Database at Ohio Board of Regents
  • Outputs Will be Information About Student
    Attendance/Completion at Institutions in Other
    State by Program
  • Will Experiment with Different Types of Student
    Identifiers and Directory Matching
  • Data Destroyed After No Longer Needed

17
Data Elements Involved
  • Institutional and Student Identifiers
  • Number of Credits Enrolled For or
    Full-Time/Part-Time Status
  • Current Program of Study (CIP)
  • Degree Earned (Annual Extract)
  • Degree Field (CIP)

18
Expected Benefits
  • Enhanced Information on Transfer for Institutions
    for GRS-Type Reporting and Analysis
  • State Policy Information on Out-of-State Transfer
    Activity by Program
  • Greater Detail than Provided by National
    Clearinghouse Data (and Less Costly)

19
Future Directions
  • Develop Additional Multi-State Experiments and
    Continue to Develop Model Protocols and
    Documentation
  • Seek Limited Number of Service Providers to
    Support Matching for Multiple States
  • Seek Ways to Address Deteriorating SUR
    Infrastructure in Many States
  • A Possible Vision Permanent Resource Center for
    State Policy on Student Progression
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