LMI for All

Over the last year we have been working on a series of ideas for using open data in careers guidance. We call these applications under the generic name of Technology Enhanced Boundary Objects.

In the last six weeks we have been working with the Institute for Employment Research, University of Warwick and Cambridge Econometrics on a project for the UK Commission for Employment and Skills on a database, code named ‘LMI for All’.

The Stakeholder Briefing explains:

LMI matters: accessible and intelligible labour market information (LMI) is vital for the effective functioning of the UK labour market. Young people entering the labour market for the first time, and people of all ages re-entering it or seeking to move between jobs, need up-to-date information on the opportunities available. But too often this information is located in a number of places and highly technical, reducing its value to non-experts.

The government has emphasised the importance of careers information to its plans for growth. The National Careers Service’s new web portal, which will launch in April 2012, will provide up–to-date information on occupations, progression routes, wages and employment trends. But over the longer term more can be done to provide nuanced information, more closely connected to the original data sources.

One way in which this could be achieved, which this project will explore, is through the creation of a comprehensive database that pools information from key LMI sources into one place. This database would be accessible to web developers who could develop targeted interfaces: connecting the right information to the right audiences…….

The database will be developed in line with the UK Government’s open data principles3 and will be accessible to web developers from the private or non-profit sectors to use to develop targeted interfaces that provide the information that their target audience requires, in the way that best meets their needs. This will ensure that the data can be used flexibly and creatively to meet real demand for LMI.

The prototype database draws on a number of different data sources including the quarterly Labour Force Survey, O*NET data and Job Centre vacancies. We have developed an API to provide access to the data and last Tuesday UKCES organised a hack-day where, in a one day workshop, developers from Rewired State took part in a competition to develop applications based on the database.  The Rewired State blog provides screen shots and brief details of the different apps developed.

The results of the project will be fed through to the English government with recommendations as to how this work might be further developed.

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.

 

A third of recent graduates in low skilled jobs

I spend a lot of time at the moment looking at how we can interpret and explain labour market data, especially for use in careers. Universities are a sensitive area of policy in the UK, and particularly in England, with an increase in fees of up to £9000 a year from this September. Inevitably, young people – and parents, are increasingly wondering if it is worth it in terms of future careers.

Strangely the big fall off in applications is from mature students who will be less effected as many of them will not hit the ceiling for repayments of the students loans being made available to pay the fees.

Thus, I suspect, it is perception rather than immediate hard economics which is driving people to apply or not.

Yesterday, the Office of National Statistics (ONS) published a new report – Graduates in the Labour Market 2012 – based on the latest statistics from the Labour Force Survey. And in a very welcome development, they published a video on Youtube to accompany the PDF report. The Guardian newspaper highlighted the main results of the4 report:

More than a third of recent graduates are employed in low-skilled jobs, official figures show.

In the final quarter of 2011, 35.9% of those who had graduated from university in the previous six years were employed in lower-skilled occupations, the Office for National Statistics (ONS) said. This compares with 26.7%, or just over one in four, in 2001.

In the same period, the number of recent graduates in the jobs market has grown by 438,000 to around 1.5 million in 2011.

Jobs categorised as low-skilled by the ONS include hotel porters, waiters and bar staff, and retail assistants.

The report may be masking the extent of graduate unemployment however, as the unemployed figure excludes those on work experience or internships many of which are short term and, controversially, unpaid.

The one figure which surprised me in the video was the concentration of graduates in London and the South East. I suspect this reflects the role of the London and the South East as the centre for banking and finance, most of which jobs require a degree. Conversely those regions with a lower percentage of graduates are mainly focused on manufacturing industry. Whilst these industries require skilled workers, degrees may not be so important. I would be very interested to see a comparison between pay and employment of graduates and skilled workers (without a degree – for instance with an apprenticeship). Unfortunately the way in which The Labour Force Survey collects data around qualifications makes it very difficult to make any meaningful comparisons. Yet, especially for young people from working class backgrounds, that may be a key choice for them in coming years.

And whilst the present English government is attempting to increase the number of apprenticeship places, there have been persistent criticism over the quality of those apprenticeship places (see this recent BBC report), with many so called apprenticeships consisting of short courses in the retail and service industries – just those very areas where so many recent graduates are ending up!

 

 

Open Learning Analytics or Architectures for Open Curricula?

George Siemen’s latest post, based on his talk at TEDxEdmonton, makes for interesting reading.

George says:

Classrooms were a wonderful technological invention. They enabled learning to scale so that education was not only the domain of society’s elites. Classrooms made it (economically) possible to educate all citizens. And it is a model that worked quite well.

(Un)fortunately things change. Technological advancement, coupled with rapid growth of information, global connectedness, and new opportunities for people to self-organized without a mediating organization, reveals the fatal flaw of classrooms: slow-developing knowledge can be captured and rendered as curriculum, then be taught, and then be assessed. Things breakdown when knowledge growth is explosive. Rapidly developing knowledge and context requires equally adaptive knowledge institutions. Today’s educational institutions serve a context that no longer exists and its (the institution’s) legacy is restricting innovation.

George calls for the development of an open learning analytics architecture based on the idea that: “Knowing how schools and universities are spinning the dials and levers of content and learning – an activity that ripples decades into the future – is an ethical and more imperative for educators, parents, and students.”

I am not opposed to what he is saying, although I note Frances Bell’s comment about privacy of personal data. But I am unsure that such an architecture really would improve teaching and learning – and especially learning.

As George himself notes, the driving force behind the changes in teaching and learning that we are seeing today is the access afforded by new technology to learning outside the institution. Such access has largely rendered irrelevant the old distinctions between formal, non formal and informal learning. OK – there is still an issue in that accreditation is largely controlled by institutions who naturally place much emphasis on learning which takes place within their (controlled and sanctioned) domain. yet even this is being challenged by developments such as Mozilla’s Open Badges project.

Educational technology has played only a limited role in extending learning. In reality we have provided access to educational technology to those already within the system. But the adoption of social and business software for learning – as recognised in the idea of the Personal Learning Environment – and the similar adaption of these technologies for teaching and learning through Massive Open Online Courses (MOOCs) – have moved us beyond the practice of merely replicating traditional classroom architectures and processes in technology.

However there remain a series of problematic issues. Perhaps foremost is the failure to develop open curricula – or, better put, to rethink the role of curricula for self-organized learning.

For better or worse, curricula traditionally played a role in scaffolding learning – guiding learners through a series of activities to develop skills and knowledge. These activities were graded, building on previously acquired knowledge in developing a personal knowledge base which could link constituent parts, determining how the parts relate to one another and to an overall structure or purpose.

As Peter Pappas points out in his blog on ‘A Taxonomy of Reflection’, this in turn allows the development of what Bloom calls ‘Higher Order Reflection’ – enabling learners to combine or reorganize elements into a new pattern or structure.

Vygostsky recognised the importance of a ‘More Knowledgeable Other’ in supporting reflection in learning through a Zone of Peripheral Development. Such an idea is reflected in the development of Personal Learning Networks, often utilising social software.

Yet the curricula issue remains – and especially the issue of how we combine and reorganise elements of learning into new patterns and structure without the support of formal curricula. This is the more so since traditional subject boundaries are breaking down. Present technology support for this process is very limited. Traditional hierarchical folder structures have been supplemented by keywords and with some effort learners may be able to develop their own taxonomies based on metadata. But the process remains difficult.

So – if we are to go down the path of developing new open architectures – my priority would be for an open architecture of curricula. Such a curricula would play a dual role in supporting self organised learning for individuals but also at the same time supporting emergent rhizomatic curricula at a social level.