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rowena.whittle@det.nsw.edu.au
ivana.zekanovic1@det.nsw.edu.au
 Agenda
9:00-9:05am Welcome
9:05- 10:30 am SMART Site- Walk Through
10:30-11:00 am Morning Tea
11:00-1:00pm School Analys...
http://www.schools.nsw.edu.au/learning/7-12assessments/smart/elearning/About/aboutSMART.htm#Scene_1
Where does SMART fit i...
http://www.schools.nsw.edu.au/learning/7-12assessments/smart/elearning/About/aboutSMART.htm#Scene_1
Where does SMART fit i...
http://www.schools.nsw.edu.au/learning/7-12assessments/smart/elearning/About/aboutSMART.htm#Scene_1
Where does SMART fit i...
 Spreading success
- Look at learning needs of students - Analyse
percentages of students in bands and use to
focus stude...
 Connecting learning and welfare data to
support personalised learning
- Look for links to support at risk students.
 Su...
Click on title
Click ‘Agree’
Select your school
Includes Exempt students
Includes Exempt students
 All students = 100%
 At or below = ? %
 Above NMS = 100 - ?
 Above NMS = S %
 At Proficiency = ?? %
 Middle Bands = S - ??
= __ %
Provides a view of all student
names and Band result, plus some
Group alignment such as ESL
Sort data in tables by clickin...
Click on the Trend data icon
Select Group
Students whose growth ends
above the black line are in the
top 25% of State
Select Group
Click to Sort
Consider students 0.2
SD above or below the
reference line as
‘unusual’
 Use the Snipping
tool to copy /
paste data
 OR
 Use Print Screen /
Paste / Crop data
into your tables
Type your
commen...
Type your
comments
 Questions
 What next?
 School discussions
 SMART analysis completion
Send completed school analysis by Friday 25th
October (Week 3) to:
ivana.zekanovic1@det.nsw.edu.au
Please complete the onl...
SMART data analysis 2013
SMART data analysis 2013
SMART data analysis 2013
SMART data analysis 2013
SMART data analysis 2013
SMART data analysis 2013
SMART data analysis 2013
SMART data analysis 2013
SMART data analysis 2013
SMART data analysis 2013
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SMART data analysis 2013

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Overview of online tools for analysing SMART data from annual the NAPLAN results and ways to dig deeper into the results from your school. As a result of this informative overview you will be better informed to make decisions to improve student learning outcomes.

Published in: Education, Technology
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SMART data analysis 2013

  1. 1. rowena.whittle@det.nsw.edu.au ivana.zekanovic1@det.nsw.edu.au
  2. 2.  Agenda 9:00-9:05am Welcome 9:05- 10:30 am SMART Site- Walk Through 10:30-11:00 am Morning Tea 11:00-1:00pm School Analysis 1:00-1:30pm Lunch 1:30-2:45pm Item Analysis: discussion, links to sites, predictor tool, teaching strategies 2:45-3:00pm Questions, Evaluation and Feedback
  3. 3. http://www.schools.nsw.edu.au/learning/7-12assessments/smart/elearning/About/aboutSMART.htm#Scene_1 Where does SMART fit in the Teaching and Learning cycle?
  4. 4. http://www.schools.nsw.edu.au/learning/7-12assessments/smart/elearning/About/aboutSMART.htm#Scene_1 Where does SMART fit in the Teaching and Learning cycle?
  5. 5. http://www.schools.nsw.edu.au/learning/7-12assessments/smart/elearning/About/aboutSMART.htm#Scene_1 Where does SMART fit in the Teaching and Learning cycle?
  6. 6.  Spreading success - Look at learning needs of students - Analyse percentages of students in bands and use to focus student support and to identify effective strategies  Identifying trends - Consider general growth/value-adding trends for a cohort
  7. 7.  Connecting learning and welfare data to support personalised learning - Look for links to support at risk students.  Supporting curriculum differentiation - Using functions of SMART, like % in skill band or growth chart to identify groups of students and needs of the group
  8. 8. Click on title
  9. 9. Click ‘Agree’ Select your school
  10. 10. Includes Exempt students
  11. 11. Includes Exempt students
  12. 12.  All students = 100%  At or below = ? %  Above NMS = 100 - ?
  13. 13.  Above NMS = S %  At Proficiency = ?? %  Middle Bands = S - ?? = __ %
  14. 14. Provides a view of all student names and Band result, plus some Group alignment such as ESL Sort data in tables by clicking on column title.
  15. 15. Click on the Trend data icon
  16. 16. Select Group
  17. 17. Students whose growth ends above the black line are in the top 25% of State
  18. 18. Select Group Click to Sort
  19. 19. Consider students 0.2 SD above or below the reference line as ‘unusual’
  20. 20.  Use the Snipping tool to copy / paste data  OR  Use Print Screen / Paste / Crop data into your tables Type your comments
  21. 21. Type your comments
  22. 22.  Questions  What next?  School discussions  SMART analysis completion
  23. 23. Send completed school analysis by Friday 25th October (Week 3) to: ivana.zekanovic1@det.nsw.edu.au Please complete the online evaluation (on MyPL)

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