What is a knowledge worker?

I was at a meeting earlier this week discussing our ideas for a project using mobile devices for work based learning in the construction industry (see previous blog entry). We have emphasised the importance of interaction with physical objects in the workplace, which I think has generally been underestimated or even ignored in most elearning research and applications, at least outside the e-science domain.

We were asked whether the ideas we were putting forward were applicable to knowledge workers.

According to Wikipedia:

Knowledge workers in today’s workforceare individuals who are valued for their ability to act and communicate with knowledge within a specific subject area. They will often advance the overall understanding of that subject through focused analysis, design and/or development. They use research skills to define problems and to identify alternatives. Fueled by their expertise and insight, they work to solve those problems, in an effort to influence company decisions, priorities and strategies. What differentiates knowledge work from other forms of work is its primary task of “non-routine” problem solving that requires a combination of convergent, divergent, and creative thinking (Reinhardt et al., 2011).[1] Also, despite the amount of research and literature on knowledge work there is yet to be a succinct definition of the term (Pyöriä, 2005)

I am not sure that the concept of knowledge workers is very helpful. In reality many jobs today are requiring research skills and non routine problem solving as well as creative thinking. And that goes well beyond people who spend most of their days working in front of a computer or what used to be called ‘white collar’ jobs.

Indeed one of the big issues in the building and construction industry appears to be rapidly increasing needs for higher levels of skills and knowledge, driven largely by new (and especially green) technologies and work processes. Traditional course based further training does not scale well – and may not be particularly effective when not linked to workplace practice.

Proving this ‘hypothesis’ is not so easy and of course leads us back to the issue of what constitutes knowledge in a work based context. But in November last year I attended a fascinating (at least to me :) ) seminar hosted by the LLAKES project at the Institute of Education in London where Any Dickerson  discussed work undertaken for the UKCES on:

the development of a new and comprehensive set of detailed, multi-dimensional occupational skills profiles for the UK by combining the US-based Occupational Information Network (O*NET) system with the UK Standard Occupational Classification (SOC2010). This enables the multi-dimensional O*NET system to be used to generate comprehensive occupational skills profiles for the UK, providing a much more detailed depiction of skills utilisation, and changes in utilisation, than is currently available for the UK.

The project report “Developing occupational skills profiles for the UK : a feasibility study” provides detailed information about the methodology and findings. And I suspect, with a little more detailed analysis, it should be possible to draw some conclusions about changing skills and knowledge components in different occupations.

Why is this important? Obviously it has implications for economies and employment. But from the point of view of teaching and learning – and especially developing learning opportunities – we should be training for the future not the past or even the present. To do this we need a detailed understanding of what is happening in different occupations. And we need to get beyond policy rhetoric about the knowledge economy and knowledge workers.

Coding the future

The debate over computer science, digital literacies etc. in the UK is still continuing. And the success of the Raspberry Pi computer – selling out of its first 70000 production run in under a week shows the demand and interest in coding and computers in general.

One driver of the debate is that employers are unhappy with the competence and knowledge of potential employees. But this is not new. Employers have always moaned that job applicants do not have the right skills, aptitudes, attitudes – whatever. And it is always the fault of the schools or universities. Maybe it is time that employers started thinking about their own role and responsibilities for training a future workforce. And that includes the IT industry. Of course curricula need updating. Learning how computers work is probably more of a democratic necessity rather than for employment or the economy. There is a danger that we evolve as a society of consumers essentially controlled by the technology of a few major corporations. You know who they are!

But just tweeking the school curriculum or weeding out production fodder university courses will not solve the problem. The real issue is how we view learning – how we create learning environments outside the classroom and how we value learning that takes place outside the formal education sector.

I like the following thoughtful comments from Chris Applegate on his blogpost ‘Why it’s not just about teaching kids to code

Secondly, there’s a spectrum of challenges, but there’s also a spectrum of solutions. It’s not just schools and universities that need to bear the burden. As I said, coding is a practice. There’s only so much that can be taught; an incredible amount of my knowledge comes from experience. Practical projects and exercises in school or university are essential, but from my experience, none of that can beat having to do it for real. Whether it’s for a living, or in your spare time (coding your own site, or taking part in an Open Source project), the moment your code is being used in the real world and real people are bitching about it or praising it, you get a better appreciation of what the task involves.

So it’s not just universities and schools that need to improve their schooling if we want to produce better coders. Employers should take a more open-minded approach to training staff to code – those that are keen and capable – even if it’s not part of their core competence. Technology providers should make it easier to code on their computers and operating systems out-of-the-box. Geeks need to be more open-minded and accommodating to interested beginners, and to build more approachable tools like Codecademy. Culturally, we need to be treat coding less like some dark art or the preserve of a select few.

 

Technology and Careers Education

I am ever more interested in how we can use technology for supporting young people (and not just young people) in making future careers choices. Talking to a focus group of young people last year, they  make use of the internet, particuarly using Google to search for details about possible future education choices, jobs and careers. I also asked them how far they explored the results of a Google search and not surpisingly they told me that they usually looked at the first three or four results. Try doing this yourself – type in your job of choice and see what comes up. All too often the results can be highly misleading.

Anyway we are working on new tools to asisst young people in choosing their future careers (more details to follow quite soon, I hope). And here is a conference paper, prepared by my colleague Sally Anne Barnes from the University of Warwick and describing the emprirical research we undertook on the use of technology in careers education in the UK (requires html5 compliant browser to view). Comments welcome – I would especially like to know what is happening in other countries than the UK.

The Potential Role of Technology in Careers Education in the UK

Innovation, education and thinking outside the skills matching box

The second verse of the great Pete Seeger song ‘Little Boxes‘, written by Malvina Reynolds goes:

And the people in the houses
All went to the university,
Where they were put in boxes
And they came out all the same,
And there’s doctors and lawyers,
And business executives,
And they’re all made out of ticky tacky
And they all look just the same.

And of course it is true. More than that, it is the policy on which most of our careers guidance practice is based. Find what skills industry and commerce needs, goes the policy, set up training places to meet those needs, put people into those boxes and we will turn out a neat match between skills and the needs of the economy.The strategy is called ‘skills matching’ and forms the basis for the European New Skills, New Jobs policy as well as that of many national governments.

Universities traditionally stood aloof from such a policy which they saw only as applicable to those in vocational education and training. Univeristy was about the development fo minds and about research.

But with the increasing commodification of universities, they too are embracing such a strategy, in the name of value for money and employability. Students are reluctant to part with large sums of money unless they can see a job progression route for their expenditure on a degree course; governments regard vocational relevance as the key criteria in providing fiances for higher education.

The only problem is that the ‘Little Boxes’ approach doesn’t work. Firstly employers often don’t know what skills they want. take the fiasco at the end of the last century when the European Industry Group for Information and Communication Technologies was predicting huge skills gaps in computing and computer programming. These gaps never materialized despite little growth in the supply to computer programmers. Secondly we simply do not have sufficiently well developed central planning infrastructures to plan for skills and employment in such a way.

This is not to deny the needs for close community links between employers and education providers, at least on a local level. However this should not be to the detriment of other community interests in education and community well being. And rather than focus on skills matching, it would be far better to focus attention on creativity and innovation. If we look at regional innovation centres in Europe such as the manufacturing clusters in Emilia Romana or the media cluster in Cardiff it could be argued that such growth happened due to innovation around the skills and creativity of the workforce, rather than because of matching of skills to existing industry (indeed in Cardiff’s case the economy was traditionally based on heavy industry and manufacturing).

In any case is it possible to ‘predict’ the skills needed int he economy in a period of fast technological change? The Institut Technik und Bildung at Bremen University, with whom I have worked for many years used to talk of the ‘shaping’ principle. They saw education as playing a key role in shaping work organisation and skills development as enabling social innovation in production and economic development. The word ‘shaping’ is a translation of the German ‘Gestaltung’, also commonly translated as ‘design’. And once more this would suggest we can design our futures, that technology and production are not mechanistically determined but rather can be shaped or changed.

But for such an approach we need people who can think out of the box, who can consider the social implications of technology development. And that will not happen through a skills matching policy!

Education, the knowledge society and employment

An important article in the Guardian newspaper entitled “The awful truth: education won’t start the west getting poorer”. The article challenges a number of assertions which seem to have become accepted ‘facts’ over the last few years.

Anyone who has written proposals for the European Commission will know the mantra of the Lisbon Agreement. By the year 2010 Europe will be the most advanced knowledge economy of the year. Now quietly forgotten , this bombastic policy goal was based on a number of unproved assumptions. First was the nature of the economy itself. Yes, we may have a greater proportion of knowledge as capital in the production process than in previous times and the numbers involved in service industries have increased but the capitalist economies remain relaint on production as the primary source of wealth and indeed of employment.

And whilst the number of occupations and jobs requiring higher skills and knowledge levels has increased, there remain many low skilled jobs, especially in the growing services sector.

There were two main ways Europe was to achieve its preeminent status in world economies. The first was through implementing ever higher levels of technology. Once more the link between technology, productivity and economic growth are contestable and difficult to measure. technology can increase productivity and lead to growth. however, there have been a number fo studies showing that the implementation of new technologies has actually reduced productivity, at least in the short term. And if technology merely reduces the workforce, this can inhibit economic growth and stability.

There has also been a long running assumption that higher levevls of education and qualification will also lead to higher productivity and higher wage levels. Botha re unproven. And as the data quoted in the Guardian shows real wage levels in teh UK are actually falling.

In fact it is some of those occupations lauded as the jobs of the future that pay rates have fallen most dramatically in comparative terms. Computer programmers pay has been steadily falling for the last five years in the UK.

The Guardian also points out how so called knowledge jobs are being deskilled “They are being chopped up, codified and digitised. Every high street once had bank managers who used their discretion and local knowledge to decide which customers should receive loans. Now software does the job. Human judgment is reduced to a minimum, which explains why loan applicants are often denied because of some tiny, long-forgotten overdue payment.”

The Guardian quotes Brown, Lauder and Ashton who call this “digital Taylorism”, after Frederick Winslow Taylor who invented “scientific management” to improve industrial efficiency.”

And of course with Globalisation and new forms of communciation many of these jobs are simply being shifted or outsourced to workers in other countries, especially to lower wage economies. At the same time, countries such as India and China are rapidly expanding their education systems, with a dramatic growth in science and technology graduates.

In many ways this is a perfect storm, hence the title of the Guardian article. it certaibly adds focrce to teh growing debate about the Purpose of Education abd challenges the idea that educations hould merely focus on so called employability skills. Secondly it may lead us to rethink what sort of jobs we want in society? I am interested in the survival of the craft sector in gemrany, depsite the assumption in the UK that such jobs had no future. Indeed its eems that thsoe countries with strong apprenticeship systems, valuaing handicraft and applied skills and knowledge may be better placed for the future than thiose such as UK which went down the road of developing a mass higher education system for the knowledge society.