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Feedback from CEM Assessments: Individual Pupil Records & Predictions Belfast, March 6 th 2013 Neil Defty Business & Development Manager CEM Neil@cem.dur.ac.uk
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To inform professional judgement To start a conversation Baseline Assessment Data
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USING BASELINE DATA FOR TEACHING AND LEARNING IF FEEDBACK DATA IS TO BE TRUSTED THEN PROBABLY: The students understood the purpose of the assessments And each student did their best at the time……. As a year group, how able are they? What strengths and weaknesses does the group have? How did each student perform?
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Bands, percentiles, standardised scores… Standardised scores D C B A 105203014090958070996050 Percentiles: 2575
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Alis: year 12 students, two baseline profiles for the same school Nationally, 25% in each band
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Band Profile Graph: all MidYIS cohort Checking this graph each year will give you an immediate overview of your intake. A school with a ‘completely average’ intake would have 25% of pupils within each band. Band DBand A
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Band D
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On another day, with 95% certainty, the score of 100.6 (+/- 1.1 x 2) would not be higher than 100.6 + 2.2 = 102.8 would not be lower than 100.6 – 2.2 = 98.4
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(See www.cem.org/midyisiprbooklet for report: “Using MidYIS Individual Pupil Records to Inform Teaching and Learning”) www.cem.org/midyisiprbooklet To start a conversation Individual Pupil Records (IPRs)
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INSIGHT Pupil IPR
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IPRs in KS3 Levels NATIONAL AVERAGE
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The code: j: reduces size k: infills m: inverts
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“Predictions”
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BASELINE SCORE GRADE * ** *** ******************* * ** *** ******************************** * ** *** ********************************* *** ** * * ** *** ************************************ *** ** * * ** *** ******************************** **** ** * * ** ***************************** *** ** * * ** *** ******************* ** * * * ** *********** ** * How is a ‘prediction’ generated? C A* A B 50 100 150
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3 key points are: The higher the baseline score the higher the final grade Any one grade is achievable from a range of baseline scores From any baseline score, a range of grades are possible
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BASELINE SCORE GRADE * ** *** ******************* * ** *** ******************************** * ** *** ********************************* *** ** * * ** *** ************************************ *** ** * * ** *** ******************************** **** ** * * ** ***************************** *** ** * * ** *** ******************* ** * * * ** *********** ** * Subject National trend line (regression line) How is a ‘prediction’ generated? 50% on or above the trend line 50% on or below the trend line ‘PREDICTION’ (expected grade) C A* A B
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‘Predictions’…...are based on Average performance by similar pupils in past examinations The problem with the word ‘prediction’ is…? An alternative is ‘expected’ grade
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Predictions 4 points = D 6.6 points = A/B Trend line
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FACTORS THAT WILL INFLUENCE RELIABILITY OF PREDICTIONS: Knowledge of student Parental support/home life Peer influences/social life Student attitude, interest, language Expectations of staff Department/institution ethos Resources Quality of teaching and learning: pace of lessons Understanding how children learn……… And the reliability of the predictions......
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29 Correlation = 1 Result
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Correlation = 0 Correlation = 0.7
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The graph below shows the middle 2/3 of some subject trend lines
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Prediction/expected grade: 5.1 grade C Most likely grade
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Not a label for life...just another piece of information The Chances graphs show that, from almost any baseline score, students come up with almost any grade - - -there are just different probabilities for each grade depending on the baseline score. In working with students these graphs are more useful than a single predicted or target grade Chances graphs show what can be achieved: –By students of similar ability –By students with lower baseline scores
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to place school at 75 th percentile of value added results
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Or insert own values and click Adjust
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Prediction/expected grade: 6.4 grade A/B Most likely grade
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