Archive for the ‘LMI’ Category

The development of Labour Market Information systems

August 29th, 2018 by Graham Attwell

Over the past few years, part of my work has been involved in the design and development of Labour Market Information Systems. But just as with any facet of using new technologies, there is a socio-technical background to the emergence and use of new systems.

Most countries today have a more or less elaborated Labour Market Information system. In general, we can trace three phases in the development of these systems (Markowitch, 2017). Until the 1990s, Labour Market Information systems, and their attendant classification systems, mainly provided statistics for macroeconomic analysis, policy and planning. Between the 1990s and 2005 they were extended to provide data around the structuring and functioning of the Labour markets.

Mangozho (2003) attributes the change as a move from an industrial society to a post-industrial society (and the move to transition economies in Eastern Europe). Such a definition may be contentious, but he usefully charts changes in Labor market structures which give rise to different information needs. “While previously, the economic situation (especially the job structure) was relatively stable, in the latter phase the need for LMI increases because the demand for skills and qualifications changes fundamentally; the demand for skills / qualifications changes constantly, and because of these changes, Vocational Education and Training (VET) system has to be managed more flexibly (ETF, 1998)’.

He says: “In the industrial/pre-transition periods:

  • The relationship between the education and training system and the Labor market was more direct.
  • Occupational structures changed very slowly and as such, the professional knowledge and skills could easily be transferred.
  • Planning, even for short-term courses, could be done well in advance, and there was no need to make any projections about the future demands of occupations
  • The types of subjects and the vocational content required for specific jobs were easily identifiable.
  • There was little need for flexibility or to design tailor-made courses.
  • The education system concentrated on abstract and theoretical knowledge as opposed to practical knowledge.
  • Steady economic growth made it possible for enterprises to invest in on the job training.
  • There was less necessity to assess the relevance and adequacy of the VET system because it was deemed as adequate.
  • A shortage of skills could easily be translated into an increase of the number of related training institutions or student enrolments without necessarily considering the cost effectiveness of such measures. (Sparreboom, T, 1999).
  • Immediate employment was generally available for those who graduated from the education and training systems.”

Changes in the structure and functioning of Labour markets and the VET systems led to a greater need for comprehensive LMI to aid in the process of interpreting these structural shifts and designing effective HRD policies and programs, which provide for more linkages between the education and training systems and the Labor market.

At the same time, the reduction in the role of the state as a major employment provider and the development of market economies gave impetus to the need for a different approach to manpower planning, where the results of Labor market analysis as well as market based signals of supply and demand for skills are made available to the various economic agents responsible for the formulation and implementation of manpower and employment policies and programmes.

This led to the establishment of formal institutions to co-ordinate the generation of LMI, for instance internet based Labour Market Information Systems and the setting up of Labour Market Observatories and the development of more tangible LMI products, which provide a broad up, dated knowledge of the developments on the Labour market for different users.

Since 2005, Labour Market Information systems have been once more extended to incorporate both matching of jobs to job seekers and matching of supply and demand within Labour markets, particularly related to skills.

Visualising jobs

April 26th, 2017 by Graham Attwell

bidigestersAs ever I am doing lots of work on labour market data and education and training. While we know pretty well how to take great slabs of data and turn it into various different charts – some more imaginative than others – this still leaves problems in how to illustrate ideas. data charts can be pretty dull – more than that they rely on the ability of the user to interpret that data – what we call the move from labour market information to labour market intelligence.

biodigester2

I have long been interested in the potential of info graphics in helping develop such intelligence but had yet to see any meaningful examples. Thus, I was very impressed with this graphic about the training and skills needs in the anaerobic digestion industry in the monthly newsletter from Cereq – the French Centre for Research Education, Training and Employment.

The only real problem is that the infographic – like many others is much too long for a small laptop screen (this I have only been able to capture parts of it). But it would be great as a poster.

Interpreting and presenting data

March 1st, 2017 by Graham Attwell

I have been working on the contents for week 4 of the free #EmployID MOOC on The Changing World of Work, taking place on the European EMMA platform and starting in late March. Week 4 is all about Labour Market Information – or as I prefer to call it, Labour Market Intelligence – and how we can use labour market data both for job seekers and young people choosing careers and by advisers and other professionals working in the careers and labour market domain.

One of the major challenges is how to represent data. This presentation, Data is beautiful: Techniques, tools and apps for sharing your results by Laura Ennis, provides some good practical advice on how to present data. It come from a talk she did at Leap Into Research 2017.

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    According to Pew Internet 95% of teenagers in the USA now report they have a smartphone or access to one. These mobile connections are in turn fueling more-persistent online activities: 45% of teens now say they are online on a near-constant basis.

    Roughly half (51%) of 13 to 17 year olds say they use Facebook, notably lower than the shares who use YouTube, Instagram or Snapchat.

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    Robots to help learning

    The TES reports on a project that uses robots to help children in hospital take part in lessons and return to school has received funding from the UK Department for Education.

    TES says “The robot-based project will be led by medical AP provider Hospital and Outreach Education, backed by £544,143 of government money.

    Under the scheme, 90 “tele-visual” robots will be placed in schools and AP providers around the country to allow virtual lessons.

    The robot, called AV1, acts as an avatar for children with long-term illnesses so they can take part in class and communicate with friends.

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    It is hoped the scheme will help children in hospital to feel less isolated and return to school more smoothly.”


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    Adult Education in Wales

    Learning and Work Institute is organising this year’s adult learning conference in partnership with the Adult Learning Partnership Wales. It will take place on Wednesday, 16 May 2018 at the Cardiff City Stadium.

    They say “Changing demographics and a changing economy requires us to re-think our approach to the delivery of learning and skills for adults. What works and what needs to change in terms of policy and practice?

    The conference will seek to debate how can we respond to need, grow participation, improve and measure outcomes for citizens, and revitalise community education.”


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