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Using Data to Raise Achievement for All.

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Using Data to Raise Achievement for All. Melanie Tyrrell Assistant Headteacher, Small Heath School & Sixth Form Centre A Technology College Birmingham – PowerPoint PPT presentation

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Title: Using Data to Raise Achievement for All.


1
Using Data to Raise Achievement for All.
  • Melanie Tyrrell
  • Assistant Headteacher,
  • Small Heath School Sixth Form Centre
  • A Technology College
  • Birmingham
  • melanie.tyrrell_at_smallheathschool.org.uk

2
What could value added look like for pupils of
Pakistani / Bangladeshi origin?
3
Stating the obvious
  • In order to use data effectively to raise
    achievement your systems must be fit for
    purpose.

4
Who are the users?
  • Support
  • Pupils
  • Parents
  • Subject teachers
  • Tutors
  • Year Tutors
  • Heads of School
  • Learning Mentors
  • etc.,etc.
  • Monitoring
  • Class teacher
  • Subject teams
  • Team Leaders (HoDs)
  • Line managers (HT)
  • Governors
  • Link advisors
  • Ofsted / HMI
  • Performance tables

5
Where to start?
What do we need to distribute to key individuals?
What do we really want to know about the children?
  • Who is doing well should be rewarded? ()
  • Who is doing as well as we would expect? ()
  • Who needs support? (-)
  • Only data that is tailored to their needs.

6
Simple data collected distributed for support
7
Identify needs- implement support- monitor
effect.
8
Data collected and distributed to class teachers
  • Prior attainment (previous KS)
  • Predictions - LEA CEM Centre
  • Reading age
  • SEN level
  • EAL Level
  • Medical Flag
  • Current Teacher Assessment
  • Target for the year

9
Data collected and distributed to Team Leaders /
Subject Teams / Line Managers
  • Produced in house
  • Tracking information
  • Value added charts KS3 4.
  • Value added per teaching group - Year 11 Year
    13 classes per year group.
  • Stats - L5, L6, A-C, A-E, A-G, Ave point
    scores.
  • Analysis of performance by gender and ethnicity
  • Autumn Package - fully completed
  • LEA produced
  • Family Group analysis
  • EIC Group analysis
  • Comparisons with LEA and National value added KS2
    - KS3 by gender and ethnic group
  • Comparisons with LEA and National value added KS3
    - KS4 by gender and ethnic group
  • Fischer Family Trust Data

10
Support for teams and class teachers
11
Where to now?
  • List the characteristics of the system that will
    fit your purpose.
  • Re-evaluate what is good about what you have now
    and what needs changing?
  • Compile a Target Setting and Tracking / Using
    Data action plan that is carefully costed
    (including time).
  • Ensure that support systems are in place for both
    pupils and colleagues.
  • Identify key colleagues who will move the process
    forward and allocate responsibilities.
  • Remember
  • Keep it simple
  • Focus on trends
  • Use money to provide people who will have a
    supporting role.
  • Dont waste teacher time by collecting data you
    will not or cannot use effectively.

12
Some benefits of PAT - Contextualised data
13
Some benefits of PAT - Spotting common factors
Value added Gains
Value added Drains
Same 2 feeder primaries!!
14
Confirmation of trends
Same 2 feeder primaries!!
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