Raising the Participation Age

Strand 3

Knowing the Cohort

SheffieldSheffield

SheffieldSheffield

Knowing the Cohort

•Trajectory to 2015 and beyond•RONI pre 16•RONI – post 16•data sharing platform•deep dives & learner feedback

SheffieldSheffield

Trajectory to 2015 and beyond

Understanding where we have non- participation and the characteristics of those young people need to be mapped in order for the right support and the right provision to be put into place.

We need to be able to understand the trends in order to predict the likely blocks to ensure participation.

We have looked at issues on a geographical split, by schools and by groups of young people identified as vulnerable and know that ‘one size will not fit all’

SheffieldSheffield

Current Picture based on Residency

NEET Not KnownIn Employment without

Training

cohort size Y12 Y13 Y14 Y12 Y13 Y14 Y12 Y13 Y14

South East 2255 34 46 54 19 44 116 15 29 131

East 2880 58 68 98 57 139 251 9 48 127

Central 1811 25 33 35 27 64 110 6 20 49

South 2359 29 45 77 21 66 130 8 25 123

South West 2005 7 8 6 11 32 82 4 10 46

Northern 2411 27 41 52 8 42 77 12 47 147

North East 3484 85 137 146 22 57 83 24 62 175

Total 17534 268 383 472 174 513 1016 80 242 796

Sheffield are hoping to achieve 98% participation – the figures show the current picture as of 29/2

Total Not in Learning

Y12 Y13 Y14 Total %

South East 68 119 301 488 21.6%

East 124 255 476 855 29.7%

Central 58 117 194 369 20.4%

South 58 136 330 524 22.2%

South West 22 50 134 206 10.3%

Northern 47 130 276 453 18.8%

North East 131 256 404 791 22.7%

Total 522 1138 2284 3944 22.5%

SheffieldSheffield

Pre 16 RONI•The RONI model is focused around the collection of data on demographic, education and social care factors which could be used to produce an estimate of a child’s likely vulnerability.

•Within this model, each child was given a score based on each of the individual factors that were evaluated and from this a total ‘vulnerability score’ was obtainable. Consequently a ranking system was adopted for the selection of those children deemed to be ‘at risk of NEET’.

•The RONI has been used across the Y9-Y11 cohorts and the data shared with schools to be used in discussion with Targeted Youth Support to identify those young people who need support.

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Pre 16 RONI•It is now possible for us to evaluate the accuracy of the original RONI model using data from the Year 11 cohort now in post 16.

The indicators we are analysing are:Attendance (Unauthorised and Present)KS2 Average Points, 1 Level Progress and 2 Levels progress dataNumber of Exclusions and days excludedEthnicity and Home LanguageGenderKnown to MAST, known to CareFirst, days contact with social services and known to YOS.

•STATA has been used in order to gain an understanding about which of the factors was the most significant and had the biggest bearing on whether a child was to become NEET. By observing the STATA output it was evident that some of the obvious factors such as attendance and attainment were clearly a good indicator as to whether a child will become NEET.

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Post 16 RONI

•The ‘invention’ of a post 16 RONI is a more difficult prospect due to the diversity of progression options. A data tool may not be the answer to this, we are finding that the strengthening of links and an evolving group of providers meeting through the NEET panel is a more effective move forward

•The introduction of the NEET Panels and data sharing agreements with training providers as well as education providers has already had some impact on the numbers not engaged in learning and is giving us a platform to progress the Post 16 RONI. The introduction of a ‘managed moves’ process within the NEET panels will be the next challenge

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Data Sharing Platform•The tracking system for targeted youth support and positive activities (IYSS) is due to move within LA by April, this will improve reporting capabilities and allow for more regular analysis of the data we collect.

•There are working groups in the Local Authority looking at the variety of systems used across this client group to see if it is possible to consolidate the data further and to improve the reporting across systems. It is important that this is fully investigated as we do not want to diminish the data already existing.

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Deep dives & Learner Feedback

•One of the recent attempts to understand and use our data more effectively has been the ‘Drop out’ survey which has shown that the most common reason for disengagement from learning post 16 is when young people have ‘chosen the wrong option’. We plan to undertake further analysis to look at the guidance – intended destination – offer of place – to actual take-up to find where the problems occur in this process and to continue to produce monthly analysis around this issue.

•Sheffield has a large number of young people in jobs without training and needs to implement a strategy with both young people and employers to tackle this. There has been work trialled in other areas which involves young people working/influencing those young people who are in employment without training and Sheffield would like to develop this model.