Welcome!!

1. Welcome!!

2. Whatever Happens....Record, Record, Record! Presented by Cyndi Holleman Education Information and Accountability Services Florida Department of Education www.fldoe.org/eias/ 22nd Annual DOE Database Workshop Orlando, Florida June 18, 2008 Cyn

3. Objectives • The importance of reporting data • Overview of the PK – 12 Student Information Database • Discuss the need for data quality • Define our roles in ensuring data quality

4. Data Quality • Quality data, like quality students, come from schools and/or program areas • Good data are as much a resource as staff, books, and computers • Effective teaching, efficient schools, and quality data are linked

5. Data Quality • Bad data about a student or school can cause problems and result in negative consequences • Student • Staff • School • District

6. The Many Uses of Data

7. Accountability • School Grades • Adequate Yearly Progress (AYP) • Schools in Need of Improvement (SINI) • NCLB Choice • Highly Qualified Teachers • Safe Schools • FTE & Program Area Audits (Federal and State) • Equal Access

8. Federal Reporting • EDEN (Education Data Exchange Network) • Title I Basic, Migrant, Neglected/Delinquent and Homeless • Title III ELL • DJJ • Migrant Student Tracking • EEO, CCD, OCR • Choice (TI SES, Choice w/ Transportation, etc.)

9. State Reporting • Membership • Staff and Teacher Data • NCLB • Graduation Rates • Dropout Rates • Ad Hoc Reports • Non-promotions

10. School Outcomes • Improved Academic Achievement • Graduation Rate • Dropout Rate • Promotion Rate • Non-promotion Rate • Average Daily Attendance • Program Participation Prior to Kindergarten • Post Secondary Plans • Class Size • Safe Schools

11. Program Effectiveness • Student Learning Gains by Subject • Title I Basic, Migrant, Neglected/Delinquent, Homeless • ELL (formerly LEP) • ESE • Pre-Kindergarten • Reading and Mathematics Intervention • DJJ

12. Student Data • Demographics • Contact Information • Grades • Attendance • Report Cards • Transcripts • Disciplinary History • Immunization • FRL • Special Area Program Status (ESE, ELL, Title I, Migrant, Reading/Math Intervention) • Test Data

13. Staff Data • Class Size • Salary • Experience • Education • Courses • Highly Qualified • Certification • Exemption from public reporting

14. Consumers of Data Decision Makers Federal Government United States Department of Education State Government FL DOE and State Board of Education Governor and Staff Legislature and Staff State Agencies (Health, Education, Auditor General, Children and Families, etc.) Community Colleges and Universities

15. Consumers of Data • School Districts • Superintendent • Program Area Managers • Food Services • Student Transportation • Title I • ELL • Student Services • Curriculum • Human Resources

16. Consumers of Data • Public • Press • Parents • Students • Other States • Community Colleges & Universities

17. What is a Culture of Quality Data? A belief that good data are an integral part of teaching, learning, and managing A belief that everyone in a school is responsible for quality data A belief that we can create orderly information from disorderly settings

18. The “Components” of Quality Data Policies and Regulations Standards and Guidelines Training and Professional Development Timelines and Calendars Technology (Hardware + Software + Network) Data Entry Environment

19. Culture of Data Quality • Everybody has a role in student outcomes and developing a Culture of Quality Data • Teachers/Counselors/Nurses/Bus Drivers • Office Staff • Principals • Program and District Administrators • Office Support Staff • School Board • Superintendent

20. Culture of Data Quality • Data Quality is more than the data entry clerk hitting the right number on a keyboard. • Data Quality involves an active and ongoing process between program area staff and technical staff.

21. Culture of Data Quality The intent of data entry and collection is to: • Produce information that reflects reality • To share what is actually happening in the classroom and school

22. Culture of Data Quality • Education Community has stakes in getting and using reliable information. • How do we put the pieces together?

23. Quality Data: Standards and Guidelines • Provide opportunities for all those who are involved with data collection and those who enter data to • give feedback about the work that they do • to be involved in establishing the guidelines and policies for data entry

24. A “Feedback Loop” • The quality of data will improve when all staff understand how the data will be used: how data become information. • Quality data can be achieved in a school through the collaborative efforts of all staff and clearly defined processes.

25. A “Feedback Loop” • Collaboration • Suggestions • Recommendations • Questions

26. PK – 12 Student and Staff Information Database System • Technical Assistance Papers • Due Dates • User Manual • Data Base Manuals • Student • Staff

27. Database Manuals • Due Dates – for Surveys / Amendments • Data Elements – contain data element definitions and codes used for reporting • Reporting Formats – layout of data elements in a student record • Edits – Specifications that each record submitted must pass (rules)

28. Edits • Rejects • Validations • Exceptions

29. Reports • Edit Reports • Reports for Request

30. Data Processing • Determine Timelines / Share Calendar • Data Collection Methods • Each Format and Each Program Area • Data Entry Processes • Determine Key Players for Verification • Quality Control Processes • Edit Reports / Other Reports • Verification Processes

31. Resources • EIAS Web site, http://www.fldoe.org/eias/ • EIAS Technical Assistance Papers, http://www.fldoe.org/eias/dataweb/tech.asp • Technical Assistance, askeias@fldoe.org, • Local District MIS/IT Staff