More thoughts on school funding

Earlier this week I listened to the head of a leading group representing private schools tell us how much they saved the State, Their assessment of the amount was based upon the fees they received from parents.

Now, of course, the figure quoted was probably an exaggeration as even if it didn’t include income from overseas students, and the sector is a significant export earner in normal times, then the fees received for pupils resident in this country are higher than the State would be prepared to pay to educate these young people, except in the case of SEND places in specialist schools.

Even allowing for these caveats, if the unemployment associated with the pandemic really does slow down the economy, then, inevitably, some parents may decide that private schooling is something they can no longer afford. There will be bursaries and scholarship and grandparents will offer help, but every child that switches from the private sector to the State sector creates winners and losers and is an additional cost to the State.

Schools that gain pupils will receive extra funding in the fullness of time. However, unless the overall pot of cash increases, there will be less for everyone. With school rolls overall still increasing, especially in the more expensive to fund secondary sector, this possible demand for extra cash could not come at a worse point in the demographic cycles. Any switch to funding for vocational skills, and especially for the Further Education sector, will also make finding additional funding for schools more of a challenge for the Secretary of State in his talks with The Treasury. With pressure to pay the least well-off in society more, increasing teachers’ pay rather than that of support staff may well be a real challenge unless class sizes increase and teacher numbers are reduced.

So, how might schools react? Finding saving won’t be easy, but here are a couple of suggestions. Firstly, and not surprisingly, cut back on recruitment costs. The DfE vacancy site isn’t doing the job it was set up to do. As a result, the profession should create a working party to attack the recruitment costs with the aim of saving schools perhaps £20 million a year. A really effective scheme could save even more.

Secondly, take the profit element out of supply teacher costs. Thirty years ago, local authorities were inefficient and uncoordinated in carrying out this function for schools. Costs have been driven down, but market economics has created a business with a profit element. Removing this element by either taking it back in house or creating a fixed price model could again help save cash for schools.

The third, and most radical suggestion, is around the funding of teachers’ salaries. In the education governance revolution of thirty years ago, decisions about salary bills were delegated to individual schools, with each schools funding being based upon a notional average salary bill. Previously, schools had their salary bill paid for by local authorities based around a framework of school Group Sizes that generated numbers of promoted and leadership posts for each school.

These days. MATs can set salary policies for all their schools, but local authorities cannot for maintained schools. Such policies can affect wage bills, and especially the cost of promoted posts and leadership positions. Young teachers are cheap; older more experienced teachers cost more. Do we want our more experienced teachers leading our more challenging schools? Could a more logical system that took the wage bill for teachers away from schools save money? I don’t know the answer. But, the wage bill is the largest cost in education and it is worth asking the question: how can we protect the income of teachers and other school staff in a time when pressure on the public purse is immense and are their efficiencies that can be made? A notional staffing model that school could test themselves against might be a start. Now is surely time for some radical thinking around the goals we want education to achieve for Society. Depriving the deprived is not one of them.

The author is Chair of TeachVac, the job board for teachers http://www.teachvac.co.uk

World Statistics Day

Today we recognise the power of statistics for both good and evil. Many years ago, when I was teaching geography in a school, I would ask my A level groups to at least audit, if not actually take, a course in statistics. As well as informing their general education, the course also helped with their understanding of the geography syllabus of the 1970s that was rapidly changing from mere descriptive and clerical tasks to a more analytical approach to the issue of ‘place’.

At the same time I was persuading my Year 7s to play games. The farming game and the railway game were two favourites. Both helped instil collaborative learning skills plus discussion about issues such as risk and probability.

One spin off from this interest in statistics was the ability to help students remember that temperature was continuous and rainfall intermittent, and thus one was represented by a line on the graph and the other by columns. There is an interesting debate to be had about when discrete data becomes continuous because of the length of the time series? Good question for today.

One of the earliest research projects I ever encountered was conducted by a lecturer at LSE who was counting the number of phone calls between different settlements in South Africa and creating some form of density map. The clerical work, pre-computers, took a whole summer. Now it might take just a few minutes. However, working through the data, town by town, created a feeling for ‘rightness’ that can be lost when a computer spills out the results. The ability to estimate when a number is in the right relationship to those around it is still a key skill.

Playing with information, not statistics, led me into the world of teacher supply via the database of leadership vacancies I started in the early 1980s. Later today, I will participate in a call set up by civil servants to discuss the replacement for the Teacher Supply Model. I think this will be the fourth or fifth iteration of such models to decide how many teachers we need to train each year. Watch out for more on this in a later post.

The School Workforce Census is a great improvement on what went before. However, despite the publicity for the new approach to displaying government statistics, I have some reservations. Perhaps, this is just my age showing, and I need to find some YouTube videos to help me learn new skills.

Understanding data in all forms has never been a more important prerequisite for those making decisions about our lives as the present pandemic has clearly demonstrated. A classical Oxbridge education might have been valuable as a foundation of a career in politics during previous generations. Surely, it is not adequate for leaders in the modern world.

Let us celebrate World Statistics Day by counting the number of different statistics we see during the course of the day. More than we might imagine.

BA fly last passenger 747

Why is the news that BA has retired their remaining passenger fleet of Boeing’s iconic 747 ‘Jumbo’ jets worth a post on an education blog? Mainly because I have often used this plane as an example of technological change.

Children born in the era of the first powered flights made by aviation pioneers at the start of the last century retired from work at about the time when the 747 started flying. From canvas and wood planes held together by glue and cords to a passenger plane with two decks and a range unimaginable to those early pioneers, all in less than one lifetime.

Using this example has always prompted me to ask educationalists what changes succeeding generations will experience in their lifetimes. The generation born when the BBC was broadcasting the programme ‘The chips are down’, a TV documentary that brought the concept of semi-conductors to a mass audience and heralded the move of commuters from air-conditioned rooms into homes, and eventually our pockets as well, are now parents whose own children are often well advanced along their own path to adulthood. What changes will they experience in their lifetimes?

Today, there is a news story that the next generation of mobile devices we used to call phones will have inside them chips based upon 5nm technology. Nm refers to nanometres, each of which is one billionth of a metre. According to the BBC a nanometre is roughly the speed a human hair grows every second. https://www.bbc.co.uk/news/technology-54510363

Education has not been known for the speed of its changes. However, this year, the response to the pandemic has seen more change than perhaps at any time since slates were replaced by paper.

Hopefully, think tanks and politicians are now thinking about the future shape of education and the extent to which change will continue to be driven both by the decisions of individual schools and even teachers to the level of thinking about decision-making that needs to be taken at a national level in order to ensure all children can participate in the same education journey through schooling. Access to technology has become a real issue again for the education sector.

Technology ought also to help everyone work to make a planet that continues to be habitable. If it doesn’t, then the future for those being educated today may be very different.

The 747 was a noisy, dirty and expensive plane to fly. Those issues weren’t a concern when it was designed. Today, they are very much an issue.

Let me finish by asking how much greener is your school than it was a generation ago?

Teaching School Hubs

If you are involved .din bidding to become a Teaching School Hub and require data about the local teacher labour market over the past three years do make contact.

Teachvac, where I am the Chair of the board, has extensive data covering up to 30 secondary subjects and the primary sector for main scale; posts with TLRs and leadership scale vacancies. Data for 2018-2020 available on request at local authority level.

email enquiries@oxteachserv.com or contact me personally on dataforeducation@gmail.com

Not the party we expected

Follow this link to an article I have written for the Church Times on schools and the pandemic. It was written in early September.

https://www.churchtimes.co.uk/articles/2020/25-september/features/features/education-150-years-of-state-schools-not-the-party-we-expected

Poverty is not destiny – OECD PISA Report

OECD published the latest of its PISA studies today. This is a long and complex report and I am grateful to those that have already pointed the way to some of the key points. Generally, the data is for the United Kingdom and not just England.

As in previous studies, the urban regions of China entered plus some other Asian economies provide outstanding outcomes among fifteen years olds taking the survey tests, especially in maths and reading. The report can be found at: http://www.oecd.org/pisa/publications/pisa-2018-results.htm

What follows are some of the comments that caught my eye at a first glance. The most significant challenge, especially in the light of the Prime Minister’s comments on parity of esteem is whether selective secondary education is good for the economy? Such schools are certainly good for those that attend them. But, for the nation as a whole?

The OECD believes that “it remains necessary for many countries to promote equity with much greater urgency.” While students from well-off families will often find a path to success in life, those from disadvantaged families have generally only one single chance in life, and that is “a great teacher and a good school. If they miss that boat, subsequent education opportunities will tend to reinforce, rather than mitigate, initial differences in learning outcomes.

One in ten disadvantaged students was able to score in the top quarter of reading performance in their country/economy, indicating that poverty is not destiny. The data also show that the world is no longer divided between rich and well educated nations and poor and badly educated ones. The level of economic development explains just 28% of the variation in learning outcomes across countries if a linear relationship is assumed between the two.

In over half of the PISA participating countries and economies, principals of disadvantaged schools were significantly more likely than those of advantaged schools to report that their school’s capacity to provide instruction is hindered by either a lack of or inadequacy of educational material; and in 31 countries and economies, principals of disadvantaged schools were more likely than those of advantaged ones to report that a lack of teaching staff hinders instruction. In these systems, students face a double disadvantage: one that comes from their home background and another that is created by the school system. The report concludes: “There can be numerous reasons why some students perform better than others, but those performance differences should never be related to the social background of students and schools.”

Many students, especially disadvantaged students, hold lower ambitions than would be expected given their academic achievement. In the United Kingdom, about one in three high-achieving disadvantaged students – but fewer than one in ten high-achieving advantaged students – do not expect to complete tertiary education.

Some 81% of students in the United Kingdom (OECD average: 74%) agreed or strongly agreed that their teacher shows enjoyment in teaching. In most countries and economies, including in the United Kingdom, students scored higher in reading when they perceived their teacher as more enthusiastic, especially when students said their teachers are interested in the subject.

The OECD findings also reveal how the foundations for education success are laid early. Students who had attended pre-primary education for longer scored better in PISA than students who had not attended pre-primary education. Between 2015 and 2018, the share of 15-year-old students who had attended pre-primary school for three years increased in 28 countries. Despite this advantage, in 68 out of 78 education systems with comparable data, students who had not attended pre-primary education were much more likely to be socio-economically disadvantaged and enrolled in more disadvantaged schools at the age of 15. This highlights how access to pre-primary education often reinforces educational disparities

Exploring Teacher Recruitment and Retention

This book is sub-titled Contextual Challenges from International Perspectives, and is jointly edited by Tanya Ovenden-Hope and Rowena Passy Itis to be published by Routledge on the 2nd October. The ISBN is SBN 9780367076450

I doubt whether many will want to buy it outright with even an e-book price of over £30. However, I mention it here for two reasons. Firstly, the authors asked me to write what has become the opening chapter. In it I discuss the history of teacher supply at the national level since 1970 within the context of my own career during the past half century.

Secondly, reading the book makes it obvious why I prefer to write blogs than books or academic articles about such a fast moving environment as the labour market for teachers. This book is now as much a work of history as it is a discussion about current policy, since the world of teacher recruitment has been changed by the pandemic.

Indeed, we are unlikely to see a return to conditions of widespread teacher shortages for at least a few years, however much of a -V- shape the recession we are now entering turns out to be. The opposite was, of course, the case when this book was being crafted.

I never envy the authors of a collection of chapters by different authors. Ensuring academics meet deadlines is a thankless task. This is the second time I have contributed a chapter to a book where the time between commissioning and publication rendered the original text not fully fit for the original purpose.

It would be interesting to bring together the various posts about teacher shortages on this blog and compare them with articles I wrote during periods of plenty in the labour market as part of my contributions to the TES during the first decade of this century.

There is one group that may find the book worth purchasing. The group is those successful in tendering for the DfE’s longitudinal survey of teachers designed to underpin their currently outdated Recruitment & Retention strategy. Those designing the survey for the DfE might like to link my previous post about the OECD data with the level of vacancies due to maternity leave currently being advertised on both TeachVac and the DfE’s vacancy site.

OECD Education Indicators at a Glance: 2020 Edition

Each year the OECD brings together the most recent data about education systems. Originally it was just data from the OECD countries, but now the scope has widened to include some other countries. This allows for both a EU23 country average and in some cases a G20 average number to be calculated in many of the tables.

In this blog post, I look at three sets of data; age of teachers in primary and lower secondary sectors; the percentage of female teachers in these sectors and some data about class sizes.

The data for the home nations is aggregated into a United Kingdom statistics. This is despite, as pointed out in a previous post, education is a devolved activity and each constituent part of the United Kingdom takes its own decisions on education policy. However, they are not separate countries, and are viewed no differently than either German Land or French Departments by the OECD.

On the ratio of students to teaching staff in 2018, the United Kingdom still has one of the largest ratios in the table for the primary sector, at 20 pupils per teacher. Only The Russian Federation, Colombia, Brazil and Mexico, of the nations included in the table, have larger class sizes. By comparison, the OECD average is 15 pupils per teacher, and the EU23 average is even smaller at just 13 pupils per teacher.  The United Kingdom figure comes after including the smaller class sizes often found in swathes of rural Scotland and Wales.

In the lower secondary table, the United Kingdom performs better. The average falls to 16 pupils per teacher, compared with an OECD average of 13 and the EU23 average of 11 pupils per teacher. Although the imbalance between staffing is of long-standing, it is smaller than a generation ago. It is to be hoped that as policymakers fully understand the importance of early education the gap will continue to close between the staffing ratios funded for younger and older pupils.

On the age distribution of teachers, the United Kingdom had the system with the highest percentage of teachers below the age of 30 working in the primary sector at 29% of the teaching force, and one of the lowest percentage of teachers older than 50 in the sector.  Young teachers are more recently prepared for the classroom, but less likely to remain there than older teachers.

The large percentage may partly be down to the rise in the birth rate that required more teachers to be hired as the increased number of pupils reached school age. By contrast, many western European countries, including Finland, had less than ten per cent of their primary teaching force in the under-30 age bracket in 2018.

The position is similar in the lower secondary workforce, with the United Kingdom again leading the way at 22%, with the second highest percentage of teachers in the youngest age grouping: only Turkey had a higher percentage. Indeed, the EU23 average was only nine per cent of lower secondary teachers under the age of thirty in 2018.

On gender, although we tend to think of teaching these days as a profession where women vastly outnumber men, and that is true, the data revealed that in 2018 the United Kingdom was close to the OECD average of 83% female teachers among teachers under thirty in the primary sector. The EU23 average for this group was 85% ,with a UK figure of 84%.  By contrast, in Austria and Italy more than 90% of their teacher under the age of 30 were female. In Denmark, the percentage was only 58%.

In the lower secondary sector, the international averages were a 68% of teachers under thirty being female. The United Kingdom were again similar to the averages with a figure of 66% for female teachers as a proportion of teachers under the age of thirty. Denmark again had one of the lowest percentages, but Italy had a much higher percentage of male teacher in the lower secondary sector.

There is more to be said about the difference in survival rates in teaching for men and women, and the relative lack of women in leadership positions, even after several decades of equal opportunities legislation.

Data on teachers’ ethnic backgrounds would also be useful, not least to know where and how well it is collected across the OECD countries.

The data was collected in a period of calm before the pandemic storm hit the world. What these numbers will look like in a decade if employment opportunities change is in the realm of speculation. Might the patterns be very different or might the journey to equal opportunities really be more firmly embedded in the labour market than ever before?

Education counts, but so does the family

The report on social mobility issued today https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/917278/The_long_shadow_of_deprivation_-_differences_in_opportunities_across_England.pdf raises a number of interesting questions. Most are not new, but they are none the worse for restating.

Life changes, at least as far as incomes are concerned, seem to be a combination of education, local labour markets, soft skills and parental ability to offer support for life chances.

Education effects are relatively similar, although areas where there are either selective schools or strong local private school clusters seemingly do have an effect on outcomes.

The comments in the report on Oxford, my home area and where I represent a Division on the county council are interesting

Oxford is an example of a place where social mobility is high, with the smallest pay gaps – it is in the top 10 places with the smallest pay gaps outside London, as shown in Table 1.2. Swindon represents a place with average pay gaps and mobility, while on the right, Bolton represents a place with large pay gaps and less mobility. In all three authorities, the proportion of the pay gap explained by education (the orange part of the coin stack) is the same (around 14 percentiles). But because total pay gaps are smaller in Oxford, education explains a larger proportion of the pay gap there compared with Bolton. The main difference between the most and least mobile areas is the black part of the coin stack – the role of family background that persists beyond education into the labour market.

This finding challenges the notion that educational investment alone will remove differences between areas. Education gaps account for most of the pay gaps in all areas, and reducing these is important in and of itself. However, we also need to look at equalising labour market opportunities available for young people with the same education level as those from richer backgrounds if we are to ‘level up’ between places. Beginning to tackle this gap requires us to understand what drives it – only then can we design effective interventions that address the specific roots of intergenerational disadvantage. Pages 40 and 41

Personally, I don’t think we should give up on education investment in order to ensure those currently not benefiting from our education system are able to improve their outcomes. In 2011, Oxford Key Stage 1 results were the worst for any local authority. This was despite the success levels of schools in the North and West of the City. They have improved since then. In my view, the current National Funding Formula does not provide enough incentives to help improve outcomes.

However, I accept that creating new employment opportunities is critical to social mobility. In the 1960s, the Intermediate Areas Report recognised this issue. More recently, government have seemed to accept a policy of building up successful areas such as London and the South East and ignoring other ‘smokestack’ areas. This report recognises the importance of employment opportunities at all levels need to be provided across the country. Without these opportunities, vacancies for those remaining in many areas will be limited and often lower paid jobs.

Of course, the greatest sadness about this study is that it only deals with males due to data issues. Are women more socially mobile and better able to make use of educational outcomes or are they even more fettered by circumstances?

Sprinkler systems needed in school buildings

On the 15th April 2019 this blog carried a post headed ‘Install Sprinkler Systems’. This followed a call to ensure all new schools had sprinkler system built into them during construction.

Zurich Insurance, a major insurer for local government risks has now come out in support of this suggestion in a new report. A review of their view can be found in this link to pbctoday https://www.pbctoday.co.uk/news/health-safety-news/fire-risk-in-schools/81974/

I fully support the recommendation that all schools should be built with sprinkler systems for the reasons cited in my blog post of April 2019.

Zurich found that the average school posed a fire risk 1.7 times greater than non-residential buildings. When compared to 2.9 million non-household properties, school buildings were also three times more likely to fall into the ‘high’ fire risk category (58% vs 20%).

According to Zurich’s research, in the last three years malfunctioning appliances or equipment, faulty electrics, arson and kitchen blazes are among the leading causes of school fires. Larger fires in schools cost on average £2.8m to repair and in some cases over £20m. Bigger and older schools, including those with a canteen, and secondary schools – which have more complex and dangerous equipment – were identified as particularly at risk.

Of particular concern was the fact that there was a correlation between poor Ofsted ratings and greater risk of fire was also identified in the analysis. If buildings can influence learning, then this is a factor that needs to be taken into account in relation to any school-rebuilding programme. Poor learning conditions don’t motivate pupils to learn.

Zurich echo what I said in 2019, by concluding that:

“Burnt out schools and classrooms cause major disruption to children’s education, with repairs leading to months or even years of upheaval. They also result in the loss of spaces which local communities rely on out of school hours.

As well as protecting pupils, sprinklers drastically reduce the extent of damage when there is a blaze, often confining the fire to a single room. This gets children back into schools and classrooms quicker as well as saving taxpayers’ money.”

The case for installing sprinklers seems overwhelming, and I hope that the government will review the present building guidance and rules and reinstate a mandatory requirement for sprinkler systems in all new schools being built from now onwards. Retrofitting existing schools would be much more expensive, but could still be justified in reducing the consequences of a fire in a school on children’s education.