Making sense of data about education and jobs

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High or low skills? Graduate job or not?

For a number years now I have been working on projects developing the use of open data for careers counselling, advice and guidance. This work has been driven both by the increasing access to open data but also by the realisation of the importance of Labour Market Information (LMI) for those thinking about future education and / or jobs. And of course with high levels of job insecurity, such thinking becomes more urgent and in an unstable economy and labuor market, more tricky.

Yet even if we clean the data, add it to a database, provide and open API for access and develop tools for data visualisation, interpretation is still not easy. Here is one case, taken from this mornings Guardian newspaper.

employment graph

 

Although the article is using the chart to show the rapid growth in knowledge intense occupations, I am not sure it does. Assuming that these are percentage change based on the original job totals, it probably show growth in low skilled jobs is far outstripping high skilled work, especially in the last 12 months. And that is taking into account that (once again probably) most job loss due to technology is focused din low skilled areas – e.g the quoted 70,00 jobs lost in supermarket check outs due to automation.

I am also interested to see from wonkhe that “The Higher Education Statistics Agency (HESA) who have been running the Destination of Leavers Survey (DLHE) and its predecessors for 21 years, are now consulting widely on the future of assessing graduate outcomes.” For some time now there has been disquiet about the numbers of graduates working in ‘non graduate’ jobs. And that raises questions – just like the graph above focusing on high skills occupations – on just what a graduate job is. André Spicer, professor of organisational behaviour at the Cass Business School, City University London has cited “studies suggesting that the jobs which require degree-educated employees have peaked in 2000 and may be going down” and notes that many people apparently employed for their high-level specialist skills end up doing sales and marketing or fairly routine generalist work.

All this of course is highly subversive. Officially we are moving towards a high skilled economy needing more graduates and requiring higher level apprenticeships. My feeling in country slick Spain with high youth unemployment is what we need are apprenticeships in areas like construction and hospitality – both because they are sectors which can provide employment and also where higher skills are desperately needed to improve quality and productivity. Yet for governments there is an awful temptation to launch programmes in new ‘sexy’ areas  like games technologies despite the scarcity of jobs in these fields.

Thinking about Entrepreneurship

For some time I have been interested in Entrepreneurship. For one thing I resented the way the Thatcher and Blair acolytes had stolen the word. Working class people have also been entrepreneurial, setting up small businesses or providing services. Yet to listen to the new reasoning, entrepreneurs were the Bill Gates and Steve Jobs of the world, millionaires and directors of multi million pound listed software companies. Just as Puritanism equated being wealthy with being one of the saved, so neo-liberalism equated being rich with being an entrepreneur. It was something the poor should aspire to and they should study in awe rich people as role models.
Since the onset of the recession, or the crisis as it is universally called in southern Europe, some of the gloss has faded at least from the bankers.
Yet with unemployment and especially youth unemployment remaining at very high levels and with employment increasingly precarious, there seems, at least in Spain where i am living, to be ever more emphasis on entrepreneurship as the hope for the future of employment. Over the last week we have attended two conferences and workshops on innovation and entrepreneurship. On the one hand the increasing support for people trying to set up their own businesses is to be welcomed, even if coordination between the many different agencies involved seems somewhat lacking.
Yet the line of argument seems somewhat under developed. The answer for the ailing labour market is innovation Innovation is connected to entrepreneurship. The great future for innovation is technology in disrupting markets. Universities need to develop closer links to industry. We need more training in technology. Web 2.0 and social media are critical to marketing innovations. Look to Apple, look to Uber, look to AirB. Don’t forget the example of The Great Steve Jobs as a role model. And so on.
As Jim Groom and Brian Lamb said in 2014 “Today, innovation is increasingly conflated with hype, disruption for disruption’s sake, and outsourcing laced with a dose of austerity-driven downsizing.” And I fear the increasing popularity and support for entrepreneurship is also becoming conflated with hype.
I am curious about the overwhelming emphasis on technology, software and hardware. Is there any city on Spain – or for that matter anywhere else – which is not trying to develop the next Silicon Valley? Yet looking at the figures, the construction and care industries remain two of the largest industries in Europe by numbers employed. Yet they are rarely, if ever, linked to entrepreneurship. Services are continuing to grow in employment, although this covers a wide range of occupations. The number of people who make real money out of releasing Apps to the various app markets is extremely limited.
I think we need more nuanced thinking around a  number of issues. Clearly labour markets are closely tied to employment. Whatever skills we teach young people they will not gain employment if there are no jobs. Self employment and starting up a business are increasingly attractive routes for young people (especially as there is little alternative). However businesses vary greatly in size and type. Motivations and ambition can be very different. Some people are just looking for a weekend or hobby business, others may be wanting to build on skills. Disruption is probably a minor source of employment or indeed driver of entrepreneurship.
Whilst there is progress in providing support or young people in setting up their own business, advice and help is seldom geared towards them. Being told to go away and produce a profit and loss projection in a spreadsheet is only a small part of the story. And probably the major lack at the moment is help to develop businesses towards sustainability. Growth is not the only measure of sustainability. Bank capital is still in scarce supply and whilst welcome crowd funding has its downsides. And the schooling system in Spain, based on remembering facts, hardly helps young people in striking out on their own.
Above all policy and practice need to link up. Having said that there is a big contradiction between policies of austerity and policies of supporting entrepreneurship. Entrepreneurship requires public support as well as private funding. Enough for today…more to come.

The future of work and changing occupational identities

The debate over the future of work, long running in research circles but kicked into public consciousness amongst others a Oxford University study titled ‘The Future of Employment: How susceptible are jobs to computerisation’ suggesting over 40 per cent of jobs are at threat in the next 11 years due to technology, emgineercontinues. In truth there is little agreement from economists and labour market specialists. Some claim techn0logy is leading to more jobs, some that it is destroying jobs and still other that it is neutral. Some claim technology is leading to jobs being deskilled, others the reverse.

I like a recent blog post entitled ‘More on digitalisation and skills: What happens within occupations?’, by Guillermo Montt on the OECD Skills and Work web site. The article says that “as technology enters the workplace, the tasks related to a job and an occupation change” citing  Alexandra Spitz-Oener (2006) who found that in Germany, occupations in the 2000s require more complex skills than in 1979 and that this change is more pronounced in occupations that adopted computers. Although something of a simplification, that finding is largely born out in analysis of the USA O*NET data. The article also draws attention to research by James Bessen published in his recent book ‘Learning by Doing: The Real Connection between Innovation, Wages and Wealth‘. “He follows the evolution of occupations over time and claims that accelerated technological change has implications for inequality within occupations with more and more occupations becoming winner-take-all markets.” Essentially, as new technology is introduced pay and opportunities in occupations bifurcate with a few taking high high, pay levels and more taking home lower pay. “In occupations requiring above-median computer use, the 90th to 50th percentile wage ratio has risen by 0.2% per year but has remained stagnant in occupations with below-median computer use. Workers who stay ahead of the curve, those who learn by doing, reap the wage benefits of technological change.”

This has major implication for training and continuing professional development. CPD has traditionally been organised through courses. But as we have already found in in the EmployID project working with employees in European Public Employment Services, traditional course delivery is both too slow to respond to change and even more problematic is unable to deliver the volume of training required. The approach adopted in EmployID is both to look at using new technologies for learning and for promoting informal learning in the workplace but also to center on changing occupational identities. For instance there is a very different occupational identity associated with a print graphic designer than todays web designer. But the ability to change occupational identities may be shaped by previous learning experiences and by motivation as well as the ability to reflect on both individual and group learning. Within EmployID we are exploring how Learning Analytics can bets be deployed to assets people in reflection (Reflection Analytics) and to assist in transforming identities to deal with such change. I am presenting this work next week at a LAKs pre conference workshop in Glasgow and will publish by slides on this blog.

The future of work – myths and policies

I like this blog post by Robert Peal entitled ‘A Myth for Teachers: Jobs That Don’t Exist Yet’. The article looks at the origins of the idea that the top 10 in-demand jobs in 2010 didn’t exist in 2004 and its later variant that 60 per cent of the jobs for children in school today have not been invented. In both cases he found it impossible to track these statement in any reliable research. Of course these are myths. But often such myths can be tracked back to quite prosaic political objectives.

For a long time, the European Union has pushed the idea of the knowledge society. And whilst there are many learned papers describing in different ways what such a society might look like or why such a society will emerge there is little evidence of its supposed impact on labour markets. Most common is the disappearance of low and unskilled jobs, linked to growing skill shortages in high skilled employment. Yet in the UK most recent growth in employment has been in low skills, low paid jobs in the retail sector. I remember too in the late 1990s when the European industry lobby group for computers were preaching dire emergencies over the shortage of programmers, with almost apocalyptic predictions of what would happen with the year 200 bug if there were not major efforts to train newcomers to the industry. Of course that never happened either and predictions of skills shortages in software engineering persist despite the fact the UK government statistics show programmers pay falling in the last few years.

I’ve been invited to do several talks in the last year on the future of work. It is not easy. There are two lengthy reports on future skills for the UK – ‘Working Futures 2012- 2022’ and ‘The future of work: jobs and skills in 2030’, published by the UK Commission for Skills and Industry. Both are based on statistical modelling and scenario planning. As one of the reports says (I cannot remember which) “all models are wrong – it is just that some of more useful than others. Some things are relatively clear. There will be a big upturn in (mainly semi skilled) work in healthcare to deal with demographic changes in the age of the population. There will also be plenty of demand for new skilled and semi skilled workers in construction and engineering. Both are major employment sectors and replacement demand alone will result in new job openings even if they do not expand in overall numbers (many commentators seem to forget about replacement demand when looking at future employment).

But then it all starts getting difficult. Chief perhaps amongst this is possible disruptions which can waylay any amount of economic modelling. The following diagram above taken from ‘The future of work: jobs and skills in 2030’Ljubiana_june2015.001 shows possible future disruptions to the UK economy and to future jobs. One of these is the introduction of robots. With various dire reports that up to 40 per cent of jobs may disappear to robots in the next few years, I suspect we are creating another myth. Yes, robots will change patterns of employment in some industries, and web technologies enable disruptions in other areas of the economy. Yet much of the problems with such predictions lay with technological determinism – the idea that technology somehow has some life of its own and that we cannot have any says over it. At the end of the day, despite all the new technologies and the effects of globalization, there are massive policy decisions which will influence what kind of jobs there will be in the future. These include policies for education and training, inter-governmental treaties, labour market and tax policies, employment rights and so on. And such considerations should include what jobs we want to have, how they are organised, where they are and the quality of work. At the moment we seem to be involved in a race to the bottom – using the excuse of austerity – which is a conscious policy – to degrade both pay and work conditions. But it doesn’t need to be like this. Indeed, the excuses for austerity may be the biggest myth of all.

 

 

 

Who wants to be a teacher

From OECD:

PISA in Focus shows, in many countries the teaching profession is having a hard time making itself an attractive career choice – particularly among boys and among the highest-performing students.

PISA 2006 asked students from the 60 participating countries and economies what occupation they expected to be working in when they are 30 years old. Some 44% of 15-year-olds in OECD countries reported that they expect to work in high-status occupations that generally require a university degree; but only 5% of those students reported that they expect to work as teachers, one of those professional careers.

The numbers are even more revealing when considering the profile of the students who reported that they expect to work as teachers. If you read our report on gender equality in education published earlier this year, you may remember that girls tend to favour “nurturance-oriented” careers more than boys do – and teaching is one of those careers. In almost every OECD country, more girls (6%) than boys (3%) reported that they expect to work as teachers. This statistic is particularly worrying when you recall that the majority of overall low achievers in school are boys, who could benefit from the presence of more male role models at school.