1. Making local meaning from national assessment data

2. Helen Wildy
Dean, Faculty of Education
The University of Western Australia

3. Outline
Background
Scales
Demonstration
Using NuLit and NAPNuLit data

4. 1. Background
Data Club funded by DEST, DET, from Edith Cowan University; Louden and Wildy
NuLit CEOWA, from Murdoch University; Wildy, Mercer and Sheridan
NuLit AISWA, from Murdoch University; Wildy, Mercer and Sheridan
2009 NAPNuLit CEOWA, AISWA from UWA; Wildy, Mercer and Sheridan

5. Uptake Data Club 510 primary DET schools NuLit CEOWA all 159 schools
NuLit AISWA nearly all 158 schools
NAPNuLit all CEOWA and all AISWA schools

6. Project brief
Data Club: to assist principals, teachers and parents to interpret and use national benchmark data
NuLit, NAPNuLit: to assist school leaders to interpret and use national benchmark data

7. Project design
Access WALNA data for all CEOWA schools and registered AISWA schools
Develop software to show a range of comparative and value added displays
Workshop individual school’s data; no PD no disc basis

8. 2. Scales WALNA data WAMSE scale 0 to 800, then -300 to 900
Years 3, 5, 7, 9 performance on single scale (each for Reading, Writing, Spelling, Numeracy)
NAPLAN data
NSS 0 to 1000

9. 3. Demonstration
NuLit
NAPNuLit

10. Reporting in Bands Year 3 Year 5 Year 7 Year 9 1 2 3 4 5 6 7 8 9 10
Exempt 1 2 3 4 5 6 7 8 9 10
Year 5
Year 7
Year 9
Below minimum standard
At minimum standard
At or above minimum standard

11. Bands

12. Bands: partition

13. Box plot

14. Box plot: Partition

15. Student scores: Box plot

16. 4. Using NuLit and NAPNuLit data
Student level: EARS, NuLit, NAPNuLit
Whole school level: NuLit, NAPNuLit
Education system level: reports

17. School improvement process
Focus and actions for the past 3 years
Evidence of the effectiveness of those actions
Evidence of emerging trends
Planning for the future

18. The future? Evaluation of impact
Review of uses by teachers, schools, systems
Evidence of improvement in student literacy and numeracy performance