Digitalisation, Artificial Intelligence and Vocational Occupations and Skills

web, network, programming

geralt (CC0), Pixabay

The Taccle AI project on Artificial Intelligence and Vocational Education and Training, has published a preprint  version of a paper which has been submitted of publication to the VET network of the European Research Association.

The paper, entitled  Digitalisation, Artificial Intelligence and Vocational Occupations and Skills: What are the needs for training Teachers and Trainers, seeks to explore the impact AI and automation have on vocational occupations and skills and to examine what that means for teachers and trainers in VET. It looks at how AI can be used to shape learning and teaching processes, through for example, digital assistants which support teachers. It also focuses on the transformative power of AI that promises profound changes in employment and work tasks. The paper is based on research being undertaken through the EU Erasmus+ Taccle AI project. It presents the results of an extensive literature review and of interviews with VET managers, teachers and AI experts in five countries. It asks whether machines will complement or replace humans in the workplace before going to look at developments in using AI for teaching and learning in VET. Finally, it proposes extensions to the EU DigiCompEdu Framework for training teachers and trainers in using technology.

The paper can be downloaded here.

Developing a response to youth unemployment

Since I wrote my last article on ‘What is the answer to youth unemployment?‘, elections in Greece, France and Germany have seen a decisive rejection of European austerity politics. This is hardly surprising. It doesn’t take a genius to work out that ever deeper cuts and austerity, whilst ultimately cutting the real cost of labour and thus boosting corporate profits, are unlikely to boost growth, jobs or individual prosperity in any way.

The EU reaction has been to call for a new strategy for growth, although details of what that might entail are pretty hazy.

As I wrote in the previous article, one of the main results of the recession has been a massive increase in youth unemployment and, in particular, a substantial increase in graduate unemployment. At the same time companies are increasingly requiring work experience prior to employment resulting in increasing pressure for new graduates to undertake low paid of unpaid internships. Pretty clearly new policies are needed for education and training but there seems little public discussion of this, let alone of what such policies might be. The prevailing EU policy is more of the same and try harder.

To rethink policies for education and training requires looking back at how we got where we are now. And it requires looking at more than just education and training policy – we need to examine the relationship between education and training, labour market policy and economic policy. here I am going to look at just a few aspects of such policies and hope to develop this a little more in the next week or so.

For the last decade – or even longer – economic policy has been driven by a liberal free market approach. In turn labour market policy has similarly been based on deregulating labour markets and removing protection for workers (interestingly, Germany, the one country in Europe where the economy is growing, has probably one of the highest levels of labour market regulation). At a European level, education and training policy has been dominated by a drive to make qualifications more transparent and thus comparable in order to promote the mobility of labour. Employers have been given a greater role in determining the content and form of qualifications. Employability has become a key theme, with individuals being made responsible for keeping their knowledge and skills up to date, often as considerable personal expense. A number of countries have tried to liberalise education and training systems by reducing subsidies for public education and introducing individual voucher schemes.

At them same time the rather ridiculous EU Lisbon declaration, declared the aim to make the EU “the most competitive and dynamic knowledge-based economy in the world capable of sustainable economic growth with more and better jobs and greater social cohesion”, by 2010. Obviously this failed. But in line with such thinking most countries in Europe saw the way forward as moving from old fashioned vocational training to mass university education to cater for the demand for the thousands of new knowledge jobs. These jobs never materialised (except in countries such as the UK in the deregulated financial services sector which ultimately triggered the economic meltdown). As Wikipedia notes:

Much of the initial theorizing about the advent of a fundamentally new era in which economic activity is increasingly ‘abstract’, i.e., disconnected from land, labour, and physical capital (machines and industrial infrastructure) was associated with the ‘business management’ literature of the ‘new economy’ NASDAQ bubble, which collapsed in 2001 (but slowly recovered, albeit, in a leaner format, throughout the 2000s). This literature was initially known more for its hyperbole and faddishness than for its academic/empirical integrity.

In reality, many of the new degree courses were vocational in orientation – such as in the new Universities in the UK or in the Fachshule in Germany. These courses were either for new occupations – for instance in computing or simply replaced traditional vocational qualifications. It is arguable whether such a policy was financially sustainable or even desirable. It is certainly arguable whether an academic programme of learning is more effective for such subjects than traditional forms of work related learning.

To further policies associated with the obsession with the knowledge economy were the raising of the school leaving age and the so called lifelong learning policy. Longer schooling was needed, it was argued, to cope with the needs for higher levels of knowledge and skills for the knowledge rich jobs of the future. And lifelong learning was needed for the learning economies in which knowledge is the crucial resource and learning is the most important process.

At them same time the EU and national governments identified a number of key sectors which were felt to be crucial and which were then promoted through he education systems. In the late 1990s, there were dire predications of a massive shortage of computer programmers which never came to pass. And in the last five years or so EU and national governments have promoted the importance of STEM subjects – Science, Technology, Engineering and Maths as key to the future of employment and economies. Such priorities were based on a business driven policy of skills-matching promoting the “involvement of businesses in forecasting skills needs, through an employers’ survey tool and qualitative studies on the skills needs of business” (EU New Skills, New Jobs policy).

It is clear such policies have failed  and exhorting governments and agencies to try harder will go nowhere. What is needed is a fundamental rethink. As Professor Phillip Brown points out, the Lisbon Strategy was based on the idea that the technological lead then enjoyed by advanced industrial economies would be maintained with an increasing polarisation between highly skilled and well paid jobs in those countries and low paid low skilled manufacturing jobs being undertaken in developing countries. For a variety of reasons, including rapid technology transfer and a massive expansion of public education systems in countries like China and India, this hasn’t happened.

Indeed it may be the very manufacturing sector which was downgraded by EU policy which is the future for jobs in Europe especially in Small and Medium enterprises. For all the talk of high tech, knowledge based jobs. The construction industry is the biggest industrial employer in Europe with 13,9 million operatives making up 6,6% of the total employment in EU27. In addition it has a substantial influence on other industries represented by a multiplier effect. According to a study by the European Commission, 1 person working in the construction industry is responsible for 2 further persons working in other sectors. Therefore, it is estimated that 41,7 million workers in the EU depend, directly or indirectly, on the construction sector. Out of the 3,1 million enterprises 95% are SMEs with fewer than 20 and 93% with fewer than 10 operatives (pdf file). And manufacturing makes up almost 25 percent of the German economy, as opposed to only 11 percent in the United States. German mittelstands – small, family-owned and mid-size manufacturing companies – are key to the manufacturing sector. Rather than relying on university graduates for skills and knowledge, the mittelsands tend to employ graduates from the Dual apprenticeship system.

Indeed, many countries are promoting apprenticeships as one way out of the present mess. The present English coalition government boasts of the increase in the number of apprenticeship places. But in truth most of these places are apprenticeships only in name. The supermarket chain, Morrisons is the largest apprenticeship provider in the UK with many apprenticeship consisting of short induction training courses. To deliver the skills and knowledge for workers in a manufacturing economy through apprenticeship requires high quality training and the active involvement of employers and train unions alike. Moreover it requires social (and financial) recognition fo the value of apprenticeships. that seems a long way away.

To overcome the present crisis of youth unemployment requires a series of radical and interlinked policy initiative involving economic and labour market policies rather than just tinkering with education and training curricula. At a macro econ0omic level it means developing manufacturing industry rather than merely relying on financial services and the high tech knowledge industry sector. It means making sure companies provide high quality training, rather than forcing individuals to be responsible for their own employability. It means making sure that those who have gained vocational qualifications have opportunities to use those skills and knowledge and are properly rewarded for their learning. It means freeing up capital for starting small companies. It means proper financing for vocational schools and providing alternatives to young people rather than just more school and expensive university courses. It means abandoning skills matching and planning for future societal skills needs.

In other words we have to abandon liberalisation and free market ideologies and to recognise that economies and employment are a social function. As such society has to plan for the future of employment and the provision of jobs for young people. Is this too much to ask?

 

 

UK apprenticeships just rebranded short training courses?

I have written several posts about the UK government’s new apprenticeship schemes. Although welcoming the attention being paid to apprenticeship, I drew attention to concerns about the quality and length of the new programmes, questioning whether many of the programmes could really be called apprenticeships. I also drew attention to concerns that allowing any short course to be called an apprenticeship would damage the credibility of apprenticeship schemes and qualifications.

Now it seems that senior officials at the UK government Department for Business, Innovation and Skills, responsible for the development of apprenticeship schemes, have expressed similar concerns.

A report in the Guardian newspaper says discussions over the past fortnight between senior officials have described politicians’ claims about the high apprentice numbers as “dishonest” as they do not reflect the actual demographics of those involved.

The Guardian says: “The government document acknowledges that problems of quality had been raised. in diminishing of quality has had been raised with them. “Growth review consultees have registered concerns about the quality of some apprenticeships, focusing in particular on the intermediate level dominated expansion, the value of some shorter apprenticeships and the increasing number of existing (older) employees in the programme.” It reports that the department has been warned “not to undermine the apprenticeship brand”.

One critic is reported as telling officials: “To badge some of the lower end training as apprenticeships misleads learners and employers as to its value.”

But while the document defends the inclusion of existing employees and older learners, it says: “If we remain committed to calling less substantial training activities an ‘apprenticeship’, it is important to be aware of the impact this may have on public perceptions of the brand.”"

In a further report the Guardian education reporter Jessica Shepherd says that “some 422,700 people started apprenticeships of all kinds in the academic year just gone – a rise of more than half on the year before when the figure was 279,700.”

However she goes on to suggest that many of these are following courses rebranded from the previous Labour government’s Train to Gain programme, scrapped after critical Audit Office reports.

“Over-25s account for 40% of the total number of new apprentices. The growth in the number of under-19s starting apprenticeship has slowed. In the last academic year, it grew by 10%, from 17.5% the year before.

Then there’s the equally problematic issue of what sectors these apprenticeships are in. Ministers want the economy to be less reliant on retail and more on construction.

But while the number of apprenticeships started in retail and commercial enterprises rose by 63% in the last academic year, there was just a 5.3% increase in those started in construction, planning and the built environment. While the number starting apprenticeships in business, administration and law grew by more than 70%, those in engineering and manufacturing technologies rose by almost a quarter.”

Apprenticeships in Computing: a Vygotskian approach?

I am much taken with David Hoover;s Top 5 Tips for Apprentices, based on his book ‘Apprenticeship Patterns‘, and reported on by James Taylor in the O’Reilly Radar blog. Although the book is looking at the Computer Industry the pedagogic approach could hold true for any knowledge intensive industry. Critically Hoover sees computing as a craft skill.

James Turners says:

“According to Hoover, one way to ease the transition into real life development is to use an apprenticeship model. His book draws on his own experience moving from being a psychologist to a developer, and the lessons he’s learned running an apprenticeship program at a company called Obtiva. “We have an apprenticeship program that takes in fairly newcomers to software development, and we have a fairly loose, fairly unstructured program that gets them up to speed pretty quickly. And we try to find people that are high-potential, low credential people, that are passionate and excited about software development and that works out pretty well.”

Hoover bases his approach to apprenticeship on Vykotsky’s idea of a Significant Other Person who he describes as a mentor.

“For people that had had successful careers, they only point back to one or two people that mentored them for a certain amount of time, a significant amount of time, a month, two months, a year in their careers.”

He also points to the potential of a distributed community of practice for personal learning, including finding mentors outside a company the ‘apprentice’ is employed in.

For me personally, I wasn’t able to find a mentor at my company. I was in a company that didn’t really have that many people who were actually passionate about technology and that was hard for me. So what I did is I went to a user group, a local Agile user group or you could go to a Ruby user group or a .net user group, whatever it is and find people that are passionate about it and have been doing it for a long time. I’ve heard several instances of people seeking out to be mentored by the leader, for me that was the case. One of our perspective apprentices right now was mentored by the leader of a local Ruby user group. And that doesn’t necessarily mean you’re working for the person, but you’re seeking them out and maybe you’re just, “Hey, can you have lunch with me every week or breakfast with me every other week.” Even maybe just talking, maybe not even pairing. But just getting exposure to people that have been far on the path ahead of you, to just glean off their insights.

And he points out the value of being that Significant Other Person to those providing the mentoring.

At a certain point in your career, your priorities shift from learning being the most important thing, to delivering software is the most important thing, then mentoring becomes part of your responsibilities. It’s something you take on if you’re following the craftsmanship mentality of apprentice to journeyman to master. And transitioning from apprentice to journeyman, part of that is taking on more responsibility for projects and taking on more responsibility for mentoring.

Although there is no explicit reference to Vygotsky in James Taylor’s review of Hoover’s book, the Top five Tips for Apprentices correspond to Vygotsky’s model of learning through a Zone of Proximal Development.

  1. Understanding where you’re at.
  2. Find mentors who are ahead of you in the field
  3. Find some peers to network with.
  4. Perpetual learning.
  5. Setting aside time to practice

I haven’t read the book but intend to. It is rare to find an such a model for learning in an advanced knowledge based industry like computing. And the drawing of parallels with the craft tradition of apprenticeship provides a potential rich idea for how learning can be organised in today’s society

Skilled performace as a basis for professional practice?

Chris Sessums asks: “What would a knowledge base for the teaching profession look like? How can we get one?”

He goes on to say: “Imagine teachers collaborating around the globe to improve education. Sound like a fantasy? Is there a path that could lead from classrooms to a shared, reliable professional knowledge base for teaching? Is it because practitioner knowledge is highly personal, highly contextual, and lacks the vetting process associated with scientific research that such a path has never been developed? Given the millions of teachers producing knowledge of classroom practice everyday, is it worth examining what would be needed to transform teacher knowledge into a professional knowledge base for teaching? What would such a path look like?”

These are good questions. However, they pose problems over the nature of practice. Chris bases his idea of practioner knowledge around the idea of “elaborating a problem” and alaborating and testing answers to such a problem. But surely this is only part of the practice of a teacher. Can teaching be reduced to a knowledge base? In struggling to envisage what form such a knowledge base might take Chris suggests it could be developed around lesson plans. Although a readily accessible and open bank of lesson plans might be a valuable resource, it still ignores many elements of the practice of teaching. It is perfectly possible that no two teachers would use the plans in the same way. Of course that is not important. But such a knowledge base might then fail to capture the essence of professional practice (I am unconvinced of Chris’s distinction between practioner knowledge and professional knowledge).

Reckwitz (2003) distinguishes 3 different meanings or understandings of practice:

  • Practice as embodied knowledge;
  • Practice as a skilful performance with artefacts;
  • Practice as implicit knowledge, as the implicit logic of doing things

It may be possible to develop a database of the background knowledge and of the artefacts. Far mor problematic is the skilful performance. Yet it is this element of practice which would seem to be most useful for teachers and trainers.

Is one of the problems the divisions we have made between so called scientific (or professional) knowledge and practice? I wonder if it might be possible to develop taxonomies for practice embodied as skilful performance and then develop social software which would allow the sharing of such practice. If, so how and what might it look like? Does anyone have any ideas?

Reference

Reckwitz, A. (2003). Grundelemente einer Theorie sozialer Praktiken. In: Zeitschrift für Soziologie, Jg. 32, H. 4, 282-301.