Terra Dominguez Mark Hausner Michael Riles
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Transcript of Terra Dominguez Mark Hausner Michael Riles
Terra DominguezMark HausnerMichael Riles
Data Literacy for ELLs
LEP CFDC & NCWISEWhich is the authoritative source?
• CFDC student records validated by NCWISE
• Daily LEP updates overwrite NCWISE values
Purpose of student LEP data?
• LEP CFDC - state & federal reporting
• NCWISE - instructional decisions
2
Language Minority StudentsHome Language of ALL, including LEP students
4
Student’s LEP Status is “Current” Start Date= W-APT test date or 1st Year in US Schools
5
Student’s LEP Status is “Exited”
End Date = Year Exiting LEP
7/01/2012
Record Change Request (RCR) Form
Major Changes• Fillable Word Template• Data Validation
– Required Field Entry• LEA#• Record#• LEA Designee• Position• Email• Student Name• Student Id• Reason Code• Explanation• Documentation• Requested Action
• Removed Password convention
RCR Process
1. Complete and submit request
2. Request is uploaded into a tracking system for processing
3. Data is processed and prepared for approval.
4. Processed request submitted through approval chain
5. LEAs receive notification of submitted RCRs
RCR Processing Calendar
Report Cycle #
Inception Period Begins
Inception Period Ends
Confirmations Begin
1 08/25/12 09/24/12 10/08/122 09/25/12 10/23/12 11/05/123 10/24/12 11/28/12 12/10/124 11/29/12 01/04/13 01/21/135 01/07/13 02/11/13 02/25/136 02/12/13 03/14/13 03/25/137 03/15/13 04/12/13 05/08/138 04/15/13 05/10/13 05/23/139 05/13/13 05/29/13 06/12/13
10 05/30/13 06/10/13 06/20/1311 06/11/13 06/28/13 07/10/13
Benefits of Change
• Automatic tracking of RCRs
• Front-end data validation
• Pre-defined data exchange periods
• Improved audit ability
• Decreases processing time
WIDA Dashboard
• Hosted and published by WIDA
• State-level data only– LEAs can obtain access
• Will not analyze specific values
• Chart Narratives for dashboard reports
CEDARS Data Warehouse (CDW)Terra Dominguez
Michael Riles
LEP Coordinators Meeting September 12th 2012
CEDARS Dashboards
What is CEDARS?
CEDARS Data Warehouse (CDW)
• 2009-2010 forward
• Multiple NCDPI authoritative sources
• Federal, state &local level reporting
• Accessible to State, LEA & School level staff
State wide Longitudinal Data Store for analysis of trends and relationships
• Data
– Student, Program & Staff
– LEA & school statistics
• AYP/AMO status,
• Reading & Math Participation Status,
• Title I status
– LEA financial data
CDW Data – Student Level
• Student data is collected at the Detail level, meaning records specific to the individual student are collected
• Student level data is PII – ‘Personally Identifiable Information’ and must be protected
– No detail level data is used for Federal Reporting
– FERPA guidelines are enforced and dictate how any detail level data is to be used
• Collected from all State authoritative Student Information Systems and Program Areas
CDW Data – Program Level
• Program level information may be data from the Student Detail level or at the LEA/School Aggregate level.
• LEA/School Program data are generally indicators only
Student / Program Level Data Submission• Monthly
– Demographics
– Enrollment
– Attendance
– Program Participation*
• Snapshots (periodic)
– Program Specific
– NC WISE
• Yearly (June 30)
– Assessments
– Course Enrollments
– Marks
– Discipline
– Program Area Indicators
It’s a lot of information – but hang in there!
User Roles
LEA
1. Detail Answers
2. Detail - Dashboard
3. Aggregate - Dashboard
4. Security Officer
School
5. Detail - Dashboard
6. Aggregate Dashboard
SEA
1. Super User
2. User Detail
3. Report Writer
4. Aggregate - Dashboard
5. Security Officer
Detail Vs. Aggregate
• User roles with the word Detail allow individuals access to data that is Personally Identifiable Information (PII)
• Every user role that is approved has access to Aggregate Dashboards by default
– Aggregate Dashboards are totals only and do not display any PII
Let’s talk dashboards!
Dashboards
• Are published by DPI at SEA and LEA request
• Personalized views of information– Can be created by individuals with the following user
roles:
SEA LEA
DPI Users Detail LEA Detail Answers
DPI Super User
Reports Writer
Aggregate Dashboards
• Budget Codes
• Use of Funds
• 4-Year Graduation Rate (LEA)
• 4-Year Graduation Rate (School)
• School Safety
Grad Rate Aggregate (LEA) Dashboard
Detail Dashboards
• Staff Profile
– Staff Demographics
– Experience
• Student Profile
– Student Demographics
• Student Achievement
– End of Grade
– End of Course
Detail Dashboards
• English Language Learners (ELL)
– ACCESS Testing
– Home Languages
– LEP Roster
– State Testing
ACCESS Testing – Score Roster
ACCESS Testing – Score Table
ACCESS Testing – Proficiency
Count
Home Language - Count
Home Language –Count by Years in US Schools
Home Language – Count by LEP Status
Home Language – Years in US Cross View
LEP Roster – Grade Level Counts
LEP Roster – Student Roster
State Testing – LEP EOG/EOC Score Roster
State Testing – LEP Proficiency Level Counts
So….did you get all that?
CEDARS Data Warehouse Quick Sheet• Longitudinal Data Store
– Does not replace existing operational systems
– Data as of 2009/2010 School Year
– Used for Federal, state and local reporting
• From state authoritative system’s data– LEA & School
– Staff & Finance
– Student & Programs
• Individual level data submitted as often as monthly*
• Aggregate and Detail Data
– Data accessible based on user security levels
• SEA created dashboards– Trending
– Data Validation
• Report Writer
• Access available to SEA, LEA and School Level Staff
– Secure, authenticate with NCID
– Must register and be approved based on SEA, LEA & School
• http://www.ncpublicschools.org/cedars/reporting/registration/
• Resources
– http://www.ncpublicschools.org/cedars/reporting/documentation/
• Data Submission Schedule
• Security Officer and LEA Trainer Contact Lists
• Quick Reference Documents
Contact Us
Terra DominguezDivision of Data Research and Federal Policy
919.807.3272
Michael RilesDivision of English as Second Language
919.807.3953
Data Collection/Submission Calendar
Group Work: Data Validation
• Reduces errors and inconsistencies within the data
• Improve the quality of data
• Ability to manage exceptions of data
• Provide accurate, consistent, complete and timely data
• Decisions made based on validated data are more defensible
• As the data becomes more accurate, less time and effort is spent on the validation process
Validation Plan Questionnaire
• NC WISEOWL Site– 2012 LEP Coordinator
Meeting– Agenda– Task
• Link to form