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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 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
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?
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?
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?
 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
 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
SMART data analysis 2013
Click on title
Click ‘Agree’
Select your school
Includes Exempt students
SMART data analysis 2013
Includes Exempt students
SMART data analysis 2013
SMART data analysis 2013
 All students = 100%
 At or below = ? %
 Above NMS = 100 - ?
 Above NMS = S %
 At Proficiency = ?? %
 Middle Bands = S - ??
= __ %
SMART data analysis 2013
SMART data analysis 2013
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.
SMART data analysis 2013
Click on the Trend data icon
Select Group
Students whose growth ends
above the black line are in the
top 25% of State
SMART data analysis 2013
Select Group
Click to Sort
SMART data analysis 2013
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
comments
Type your
comments
SMART data analysis 2013
 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 online evaluation
(on MyPL)

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