Yr 12 Parents Forum: ALIS data West Island School October 2013 Mike Williams (Data Development Leader)

Slides:



Advertisements
Similar presentations
Using CEM Data in Practice: Feedback from CEM Secondary Assessments
Advertisements

Predicting Future Attainment: Is GCSE Always the Answer ? Dr Robert Clark ALIS Project Manager.
The MidYIS Test.
Introduction to CEM Pre-16 Computer Adaptive Assessments Glasgow 13 th February 2013
MIDYIS – A BRIEF INTRODUCTION
Introduction to CEM and the Baseline Tests
Peter Finlayson Quality improvement Officer February 2013.
Introduction to CEM Primary Dr Chris Jellis Research Associate CEM.
NEW USERS OF ALIS WORKSHOP JUNE 2011 London Conference Geoff Davies.
An Introduction to CEM Secondary Monitoring Systems Assessment for Excellence S1/S2 Baseline Assessment (MidYIS) & S2 Curriculum-based.
Yr 12 Parents Forum: ALIS data West Island School November 2012.
Joining the dots Supporting & challenging your school Governor Dashboard 1 Paul Charman Director of Strategy & Operations, FFT Chair of Governors, Dyson.
Assessment and Data Year 7 and 8
Use of Data At start of each academic year, HODs are provided with the following data GCE and GCSE Broadsheets and summaries Residual data for courses,
The Research and Practice of Classroom Assessment Principles and Strategies of Formative Assessment.
GL Assessment is part of the GL Education Group. In case of enquiries please contact GL Assessment by ing Summary presentation.
1 Perspectives on the Future of Assessment in England and Internationally Robert Coe CEM conference, 25th January 2012.
Secondary Information Systems
Pat Preedy has worked with CEM since 1992 and was part of the team that developed the baseline assessments.
M.Greenaway. Analysing Data.
Neil Defty, Secondary Systems Programme Manager New Developments from CEM London, January 2011.
Whole school testing – why do we do it? Year 7 – 10 e-asTTle reading,writing and number PAT Comprehension, Vocabulary and Mathematics Science Thinking.
Student Learning targets
Introduction to CEM and Computer Adaptive Assessments
Omm OFMDFM Signature Project Improving Literacy and Numeracy Induction Training 7-11 October 2013 Day 2 Post-Primary.
Reporting levels Parents Evening. SO WHAT LEVELS DO YOU EXPECT YOUR CHILD TO BE WORKING AT? National Curriculum Levels range from level 1 to level 8,
Year 7 Settling – in Evening. Assessment Process and Ability Grouping.
New Users of MidYIS and Yellis Ian Sanderson
Information for school leaders and teachers regarding the process of creating Student Learning Targets. Student Learning targets.
Using Alis Predictive Data Dr Robert Clark Alis Project Manager.
Dr Helen Cramman, CEM Schools Liaison CEM Conference, 30 May 2012 InCAS.
Yr 7 Parents Forum: Introduction to MidYIS West Island School October 2013.
Interpreting Feedback from Baseline Tests – Predictive Data Course: CEM Information Systems for Beginners and New Users Day 1 Session 3 Wednesday 17 th.
Mike Treadaway Director of Research Fischer Family Trust Using FFT Live Secondary Schools.
Baseline testing in Reporting and Assessment Patrick Moore – Head of Assessment and Reporting.
Title of presentation goes in here Advanced Level Performance System ALPS.
CEM Conference 8 June 2011 Using CEM data: Convincing colleagues, pupils & parents.
Introduction to CEM Secondary Pre-16 Information Systems Neil Defty Secondary Systems Programme Manager.
Working with Colleagues, Parents and Students Course: Using CEM Data in Practice Day 2 Session 3 Thursday 28 th February 2013 Rob Smith: CEM Inset Provider.
Introduction to CEM Secondary Pre-16 Information Systems Nicola Forster & Neil Defty Secondary Systems Programme Managers London, June 2011.
Understanding Assessments Welcome to Catsfield CE School: 6 th November 2012.
Neil Defty, Secondary Systems Programme Manager, CEM November An Introduction to CEM Secondary Monitoring Systems MidYIS (S1.
CEM (NZ) Centre for Evaluation & Monitoring College of Education Dr John Boereboom Director Centre for Evaluation & Monitoring (CEM) University of Canterbury.
Using CEM Data for Self-Evaluation and Improvement Running Your School on Data 7 th June 2011
Monitoring Achievement and Progress in Independent Schools Running Your School on Data January 2011 Peter Hendry: CEM Consultant
Assessment at CPS A new way of working. Background - No more levels New National Curriculum to be taught in all schools from September 2014 (apart from.
Interpreting Feedback from Baseline Tests - Whole School & Individual Student Data Course: CEM Information Systems for Beginners and New Users Day 1 Session.
CEM (NZ) Centre for Evaluation & Monitoring College of Education Dr John Boereboom Director Centre for Evaluation & Monitoring (CEM) University of Canterbury.
An introduction to SEN Data analysis The Research and Evaluation Unit.
Parent Information Evening Wednesday 22 nd October 2014.
Making the most of Assessment Data in the Secondary Years Dr Robert Clark.
A case study. Content School context Challenges Outcomes Curriculum pathways What works in our context Process Ofsted & progression to HE – a view.
Understanding & Using School Governance ….data. Me 8.30ish finish 15 minute break Fire alarms/Loos Introduction to RAISEonline Working in groups Packs.
Charlton Kings Junior School INFORMATION EVENING FOR YEAR 6 PARENTS.
FFT Data Analysis Project Who wants to be in the top 1 percent?
CEM (NZ) Centre for Evaluation & Monitoring College of Education Dr John Boereboom Director Centre for Evaluation & Monitoring (CEM) University of Canterbury.
Feedback from CEM Assessments: Individual Pupil Records & Predictions Belfast, March 6 th 2013 Neil Defty Business & Development Manager CEM
Data-Informed and Action Oriented Culture at Adams
CEM (NZ) Centre for Evaluation & Monitoring College of Education
Governors’ Update RaiseOnline & Fischer Family Trust
Curriculum, Assessment, Data, Progress, Reporting and Tracking.
Principles and Strategies of Formative Assessment
3 Essential Questions: How am I doing so far?
Introduction to CEM Secondary Pre-16 Information Systems
The MidYIS Test.
Proposal for changes to KS3 Monitoring and Reporting
Course: CEM Information Systems for Beginners and New Users
Using CEM data for T and L
Target Setting and Monitoring
Curriculum & Tracking Mr Rhodes - Headteacher
Presentation transcript:

Yr 12 Parents Forum: ALIS data West Island School October 2013 Mike Williams (Data Development Leader)

 Advanced Level Information System  Run by Centre for Evaluation and Durham University.  29 years worth of data.  1.3 Million Students in CEM system  About 10K students per year doing IB, mainly international schools and UK independent schools. ALIS

Measure Student’s ability Intake Profiles IPR - Strengths and Weaknesses, provides valuable information to support teaching and learning of individual students. Project future performance from national trends Chances Charts, target setting and subsequent monitoring. We do not use to predict future grades for University or IB predictors. Compare actual performance to Projected Performance Value-Added Reports. Used to assess performance of our school. Basic Principles of ALIS Data

 Assessed by a computer adaptive test that takes 1 hour Demo TestDemo Test  Measures developed ability rather than taught curriculum  No preparation is required for the test  Components are vocabulary (words and phrases) maths (numeracy) non-verbal (spatial/3d)  School and students’ test performances are compared to students around the word. ALIS : CABT Testing

Computer adaptive? Questions get harder when a the student answers a question correctly, vice versa

Vocabulary

Maths x/4 + 2

Non-Verbal: Cross-sections

Non-Verbal: Blocks 2

Non-Verbal: Pictures

Bands, percentiles, standardised scores… Standardised scores D C B A Percentiles: Standardised to include: 25% of students in each band 50% between Mean score 100

Intake profile for current Year 12 at WIS

 Look at each example and discuss the potential impact on learning and teaching.  What could a student do to improve their ability in areas which are relatively low?  Do these scores have an impact on any future pathway decisions? Example IPRs

Example IPRs: Average WIS student

Example IPR: high maths and NV

Example IPR: relatively high non- verbal

Example IPR: relatively low maths

Example IPR: reletively low non- verbal

Example IPR: gifted student

Comparing maths and vocab baselines What guidance would you give this student?

Predictions: regression curves from past results used to make predictions for future results

Regression Curves for HL Subjects: it is ‘easier’ to get a higher grade in some subjects

Sample Chances Charts The following charts show the percentage of students, who achieved the same baseline score as your children, went on to score a particular grade at IB. It is not meant to predict what grade your children will achieve, but is an indication of how previous students of similar ability performed in that subject. Two baselines are used. (LHS) Average GCSE score, (RHS) ALIS (CABT) test score. The black line shows the average score achieved by students of similar ability, this is shown as ‘predictions points’ in the table at the top Note: GCSE grades are converted into numbers A*=8, A=7, B=6, etc.

GCSE predictions similar to CABT test predictions – as expected

GCSE predictions above CABT test predictions – hard working student ?

GCSE predictions below CABT test predictions – underperformed at GCSE?

These students may have underperformed at GCSE. We would try to ensure that they are ‘on task’ from the start of their IB course. Tracking: Using CABT and GCSE based predictors to highlight IB students who may have underperformed at GCSE This is a current year 12 IB class

Tutors and year teams can use charts to track progress at each reporting point. This student would be tracked and supported by the tutor and upper- school team as she may be underperforming and she is in danger of not achieving the IB Diploma. This chart shows the progress of students in a tutor group compared with their average predicted grade.