Capita’s 2012 Further and Higher Education National Conference Ofsted inspection best practice and use of data Paula Heaney HMI Adviser for learning and.

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Presentation transcript:

Capita’s 2012 Further and Higher Education National Conference Ofsted inspection best practice and use of data Paula Heaney HMI Adviser for learning and skills data 2 May 2012

 The new CIF proposal  Improve data analysis in self- assessment reporting  How to use data effectively  Data and risk assessment  Other data issues Aims

The new CIF proposal

Outcomes for learners We propose to judge outcomes for learners by giving particular attention to how well:  all learners achieve and make progress relative to their starting points and learning goals  achievement gaps are narrowing between different groups of learners  learners develop personal, social, and employability skills  learners progress to courses leading to higher-level qualifications and into jobs that meet local and national needs

Improving data analysis in self-assessment reporting

Data sets we use LRPRQSR PRIOR ATTAINMENT (Level 3) SEPILAT YPLA/EFA MI REPORT MLPPREVIOUS SAR PREVIOUS IR & MV

Most effective self-assessment contains:  Context  Key data at college and SSA/framework level    Adult  Apprenticeships  Work-related programmes  Evaluative analysis  Three-year trends

Good examples for Outcomes - compared with latest national averages Outcomes data Age and levelGroups Prior attainment Value added Retention Achievement Progression SSAs Tier 2 Framework Top/Worst performers Headline ‘long’ SEPI dataLiteracy/Numeracy/ICT

Using data effectively

Using data effectively for self-assessment  Three-year trends against most recent published NA  Focus on substantial courses  Curriculum area breakdown – differences?  SR should correlate with QSR/LRPR data - if not why not?  What’s the story behind dips or spikes?  Succinct evaluation  Key strengths and areas for improvement  Priorities for action  Link with teaching and learning  Use robust in-year data

Using data effectively in-year  Clear, accurate and timely  ‘One college’ data  Ease of access and interpretation  Ability to drill down – from overall to course level  Everyone should know the data – standing items at meetings  Forensic approach  Early intervention and support  Accountability  Know and own the data – what does tell you and what does it not?

Annual risk assessment

Annual Risk Assessment Purpose:  inform the annual scheduling process  ensure that all providers are monitored regularly  focus Ofsted inspection resources on weaker providers and to balance the list of providers who become ‘due’ Tools: (stated in the handbook)  provider’s previous inspection record, self-assessment, performance data (including trends over the last three years), and any information on significant changes in leadership, the provision offer and learner numbers  Mixture of automated analysis and HMI desk-based review

Other data issues

National Averages/Prior Attainment/SEPI  Inspectors use national averages for provider type as an indicator only  Factors like prior attainment at level 3 and SEPI data are important, inspection is not ‘one size fits all’ Long Course Success Rates  Long course success rates (particularly 16-18) remain an important measure for trend analysis  Some colleges ‘flexing’ the 24-week (long course) rule! LRPR  Ofsted’s LRPR published 30 March 2011 – Excel 10

Other data issues Nested Qualifications  Standard Ofsted advice can be found on IA website  Integrity of curriculum design LAT  Continues to be Ofsted preferred Level 3 progress measure  Proposals for change by DfE under discussion High Grades  Graded qualification: Grade B or higher  BTEC Awards: MMD, MDD or DDD

Other data issues College Data checks  Using the DSAT tool and 2010/11 data, comprehensive ILR checks being completed  Lead inspectors provided with a detailed report MIDES  Inspectors aware of AoC ‘in-year’ tool YPLA/EFA/DfE  Ofsted monitoring proposed changes to performance tables, proposed floor targets and introduction of EFA extranet carefully

Other data issues Apprenticeship QSR  Inspectors aware of Data Service intention to stop in-year reporting except for period 10  Apprenticeship NSRT to be published in April  Subcontracting remains the sole responsibility of the main contract holder Minimum Contract Level  Difficulties obtaining accurate subcontracting data Sustainable employment (outcome)  Ofsted committed to using robust progression data when available

Any questions?

Capita’s 2012 Further and Higher Education National Conference Ofsted inspection best practice and use of data Paula Heaney HMI Adviser for learning and skills data 2 May 2012