Technology Enhanced Learning, at least form a research perspective, has always tended to be dominated by the education sector. Coming from a background in vocational education and training, I was always more interested in how technology could be used to enhance learning in work and in particular informal learning in Small and Medium Enterprises.

Much early work in this area, at least in Europe was driven by a serious of assumptions. We were moving towards a knowledge economy (remarkable how quiet that has gone since the economic crash) and future employment, productivity and profitability, required higher levels of skills and knowledge win the workplace.. Prior to the rise of the World Wide Web, this could be boosted by enhancing opportunities for individual learning through the development of instructional materials distributed on disc or CD ROM. Interestingly this lead to much innovative work on simulation, which tended to be forgotten with the move to the online environment offered by the World Wide Web.

One of the big assumptions was that what was holding back learning in enterprises was the cost of releasing employees for (formal) training. Thus all we had to do was link up universities, colleges and other training providers to enterprises through providing courses on the web and hey presto, the problem would be solved. Despite much effort, it didn’t really work. One of the reasons I suspect is that so much workplace knowledge is contextually specific and rooted in practice, and trainers and particularly learning technologists did not have that knowledge. Secondly it was often difficult to represent practice based knowledge in the more restricted learning environment of the web. A further issue was a failure to understand the relationship between learning nd professional development, work practice and professional (or occupational) identities. That latter issue is the subject on a paper entitled Facilitating professional identity formation and transformation through technology enhanced learning: the EmployID approach, submitted by my colleagues from the EmployID reject, Jenny Bimrose, Alan Brown, Teresa Holocher-Ertl, Barbara Kieslinger, Christine Kunzmann, Michael Prilla, Andreas P. Schmidt, and Carmen Wolf to the forthcoming ECTEL conference. Their key finding is that there is “a wide spectrum of how actual professional identity transformation processes take place so that an ICT-based approach will not be successful if it concentrates on prescribing processes of identity transformation; rather it should concentrate on key activities to support.” They go on to say that “ this is in line with recent approaches to supporting workplace learning, such as Kaschig et al. (2013) who have taken an activity-based approach to understanding and supporting collective knowledge development.”

The following short excerpt from the paper explains their understanding of processes of professional work identity formation:

“Professional work identities are restructured in a dynamic way when employees are challenged to cope with demands for flexibility, changing work situations and skill needs (Brown, 1997). The work activities of practitioners in Public Employment Services (PES) need to be trans- formed due to the changing nature of the labour market. As their roles change, so do their professional identities. Work identities are not just shaped by organisations and individuals, but also by work groups (Baruch and Winkelmann-Gleed, 2002) or communities of practice (Lave and Wenger 1991; Brown, 1997; Ibarra, 2003). PES practitioners in particular need to develop multi-dimensional (individual and collective) professional identities to cope with socio-economic and technological change (Kirpal, 2004). This shift is underpinned by the increased importance of communica-tions skills, a willingness to engage in learning and reflexivity, while reflection on experience over time may be particularly significant in the build-up of implicit or tacit knowledge as well as explicit knowledge (Eraut, 2000). At the individual level, emerging new demands and associated skills shifts generate a potential for conflict with traditional work orientations and associated values, norms, work ethics and work identity patterns of employees. One important focus for support are individuals’ strategies for dealing with such conflicts. While any identity formation process has to be realized by the individual, the process of acquiring a work identity also takes place within particular communities where socialization, interaction and learning are key elements. Therefore, supporting networks, of ‘new’ communities of practice (Lave, 1993; Wenger, 1998; Billett, 2007) and feedback from other practitioners are important aspects on which to focus.”

References

Baruch, Y. & Winkelmann-Gleed, A. (2002). Multiple commitments: a conceptual framework and empirical investigation in a Community Health Services Trust, British Journal of Management, Vol. 13, No. 4, pp. 337-357.

Billett, S. (2007). Exercising self: learning, work and identity. In: Brown, A.; Kirpal, S.; Rauner, F. (eds). Identities at work. Dordrecht: Springer, pp. 183-210.

Brown, A. (1997). A dynamic model of occupational identity formation. In: Brown, A. (ed.) Promoting Vocational Education and Training: European Perspectives. Tampere: University of Tampere, pp. 59-67.

Eraut, M. (2000). Non-formal Learning and Tacit Knowledge in Professional Work. British Journal of Educational Psychology, Vol. 70, No. 1, pp. 113 – 136.

Ibarra, H. (2003). Working Identity: Unconventional Strategies for Reinventing Your Career.Boston, MA: Harvard Business School Press.

Kaschig, A., Maier, R., Sandow, A., Lazoi, M., Schmidt, A., Barnes, S., Bimrose, J., Brown, A., Bradley, C., Kunzmann, C., Mazarakis, A. (2013). Organisational Learning from the Perspective of Knowledge Maturing Activities. IEEE Transactions on Learning Technol- ogies 6(2), pp. 158 – 176
Kirpal, S. (2004) “Researching work identities in a European context”, Career Development International, Vol. 9, No. 3, pp.199 – 221

Lave, J. (1993). The Practice of Learning. In S. Chaiklin and J. Lave (eds) Understanding Practice: Perspectives on Activity and Context, Cambridge: University of Cambridge Press.

Lave, J. , & Wenger, E. (1991). Situated learning. Legitimate peripheral participation. Cambridge, England: Cambridge University Press.

Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge: Cambridge University Press.

First the official stuff (from the press release).

“Talented UK students have won three out of four prizes in a worldwide competition to create a new app to help people develop their career.

The CareerHack open data contest was launched in November last year by the UK Commission for Employment and Skills (UKCES), and asked developers around the globe to build an app based on the UK Commission’s “LMI for All” open data, which contains information on the UK labour market, including employment, skills and future job market predictions.

First prize winner for the competition was Tomasz Florczak from Logtomobile in Poland, who won £10,000 for his innovative Career Advisor app, while 16-year-old school student Harry Jones, from Bath, took home a £5,000 prize for his Job Happy entry.

The contest also had a special prize specifically for entrants aged 16-24 in Further Education. In this category 22-year-old IT apprentice Phillip Hardwick won the £5,000 prize for his entry, Career Path. And judges were so impressed with the quality of entrants from the category that they introduced an additional runner-up prize of £2,500, which went to a team effort from students at Barking and Dagenham College in London.

Competition judge Dr Deirdre Hughes OBE, Chair of National Careers Council and a Commissioner for UKCES, said:

“As judges we were all highly impressed at the outstanding contributions made by our winners, and of the talent and ability being displayed by the next generation of up-and-coming developers and programmers.

“The quality of the submissions was so high we felt the need to introduce an additional prize, but all those that entered should be extremely proud of their efforts.”

The judging panel was made up of technology experts from Google, Ubuntu and HP, alongside representatives from the UK Commission and John Lewis. Judges made their decision based on how innovative the entry was, how viable it was as a working app, the potential it had for making an impact on society and the overall quality of the packaged app.

CareerHack judge Matt Brocklehurst, Product Marketing Manager at Google UK said:

“At Google we’re well aware of the importance of making data open and encouraging young, creative talent. CareerHack was a fantastic example of this and we were very impressed by the high standard of entries from everyone who entered – the fact that three of the four winners are young people at the start of their careers is fantastic news.  We hope these prizes will enable them to get a head start down whichever career path they choose to follow.”

Fellow CareerHack judge Cristian Parrino, Vice President of Mobile and Online Services at Ubuntu, added:

“The CareerHack competition demonstrated how an set of open data can be used to cater to the needs of people at different stages of their career paths. It was wonderful to see the different flavours of high quality applications and services built on UKCES’s data.”

LMI for All has been developed by the UK Commission for Employment and Skills, working with a consortium led by the Institute for Employment Research at Warwick University and including Pontydysgu, RayCom and Rewired State.”

Pontydysgu’s bit in all this is managing the technical side. I have to say I was a bit sceptical of producing an APi and then opening it up and encouraging contributions through a competition, but having looked at the videos I am gobsmacked by the inventiveness of teh programmers who entered. We will be looking in more depth at what has been produced. We are also seeking feedback from all those who participated and planning more events later in the year. If you would like to know more (and particularly we would be interested in similar approaches to Open data for Labour Market Information in other countries) please contact me at graham10 [at] mac [dot] com.

I don’t normally post press releases on this site. Too much corporate speak. But I make an exception in this case. Regular readers will know that for the last three years I have been playing with the possibility of using open data for people to make choices about their future jobs and careers – whether it be moving to a new area to seek work, changing careers or selecting a university or college course. For the past two years we have been working with Warwick University and Raycom on the UK Commission for Education and Skills sponsored LMI for All project. the project has developed a database and APi providing access to a range of Labour Market Information. The work has proved challenging in terms of negotiating access to different data sets, ensuring the data is non disclosive and cleaning the data and in developing the technical infrastructure to provide easy access but at the same time ensuring the security of the data.

The beta vesrion of the APi was released in June this year. Whilst we provide access to a web based data explorer we do not provide apps. Instead the idea os to  Over the autumn we have been upgrading the infrastructure and adding more datasets including the US O*Net data. Whilst we provide access to a web based data explorer we do not provide apps. Instead the idea to encourage third party developers, including careers web sites, to themselves develop web and mobile applications based on the API.  And yesterday UKCES, working together with together with Loudsource have launched a CareerHack competition for apps based on the API.

The press release says:

A NEW competition launched today is calling on developers from across the globe to create an app to help people hack into a new career and win a share of £20,000 in the process.

The CareerHack contest, run by the UK Commission for Employment and Skills (UKCES), is asking developers to find innovative and inspiring ways of using data made available through its LMI for All data site. This is a unique portal containing Labour Market Information (LMI) on employment, skills and future job market predictions, which for the first time makes the different sources of information compatible with each other and available in the same place.

The winner will be given £10,000 to spend as they wish, with £5,000 going to the runner-up.  A special £5,000 prize is available to college students aged 16-24, giving the opportunity for the tech-leaders of tomorrow to showcase their talents and skills.

Michael Davis, Chief Executive of UKCES said:

“We wanted to find a way to allow as many people as possible to benefit from our open data approach to careers and jobs intelligence. An open innovation contest for developers is the perfect solution and we’re delighted that there is a special category for young people studying in college. I’m looking forward to seeing the creativity of app developers from across the world.”

The LMI for All data portal brings together extensive careers intelligence providing a single point of access to the data needed to answer common career questions such as how many people currently work in a particular job, average salaries and the skills needed for certain careers or roles.

While LMI for All information is already being used in various ways by a number of websites, organisers hope the CareerHack contest will open the resource up to creative individuals from around the world – uncovering new and innovate ways to use data to help people map out their future career.

To help illustrate the ways in which the information can be used a Career Trax website has been created by the UKCES – highlighting just one of the ways the LMI for All data can be used.

All entries must be submitted with a brief YouTube video, showcasing how the app works and illustrating its potential. A panel of judges, including representatives from Google and Ubuntu, Further Education institutions and business leaders, will then pick the overall winner next February.

Both individuals and teams are eligible to enter.  You will need to be capable of developing a workable app using LMI for All data. For more information, please visit the contest website at http://careerhack.appchallenge.net

The closing date for entries is 5pm on Friday the 21^st of February 2014.

The Global 2013 STEMx Education Conference claims to be the world’s first massively open online conference for educators focusing on Science, Technology, Engineering, Math, and more. The conference is being held over the course of three days, September 19-21, 2013, and is free to attend!
STEMxCon is a highly inclusive event designed to engage students and educators around the globe and we encourage primary, secondary, and tertiary (K-16) educators around the world to share and learn about innovative approaches to STEMx learning and teaching.

To find out about different sessions and to login to events go to http://bit.ly/1enFDFB

Last week I wrote about projections of future demand for Science, Technology, Engineering and Maths (STEM – or in Germany – MINT) occupations. I suggested that predictions of skills shortages were overstated.

The same applies to computer programmers. According to the European Commission, “many vacancies for ICT practitioners cannot be filled, despite the high level of unemployment in Europe. While demand for employees with ICT skills is growing by around 3% a year, the number of graduates from computing sciences fell by 10% between 2006 and 2010.

If this trend continues, there could be up to 900 000 unfilled ICT practitioners’ vacancies in the EU by 2015.”

This is not the first time the European Commission has predicted skills shortages for ICT practitioners. Prior to the Millennium bug, there were once more predictions of a massive shortage of programmers. And I suspect, with a little internet searching, it would be possible to find annual predictions of skills shortages and unfilled vacancies, especially from industry lobby bodies.

One reason for this, I suggested in my previous article, is that the ICT industry has an interest in keeping wages down by ensuring an over supply of qualified workers. In this respect, a report last week on the size and value of the apps industry in Europe is interesting. The  report published by industry trade body ACT, claimed that there are currently 529,000 people in full-time employment directly linked to the app economy across Europe, including 330,000 app developers with another 265,000 jobs n created indirectly in sectors like healthcare, education and media, where apps are increasingly prominent.

At first glance then, this is a rosy area for young people with a good future. But digging deeper into the data suggests something different. According to the Guardian newspaper, “In the UK specifically, the report claims that 40% of organisations involved in developing apps are one-man operations, while 58% employ up to five people. It also points out that 35% of UK app developers are earning less than $1,000 a month from their work.”

1000 dollars a month is hardly a living wage, let alone a sufficient level of remuneration to justify the expense of a degree course. However this does not discourage the industry group who amongst other measures are lobbying the European Commission to strengthen the single market and develop “a flexible and supportive business environment for startups and entrepreneurs.” In other words, more deregulation.

There are a number of problems in looking at skills shortages in this area. My suspicion would be that although the numbers graduating from computer science have fallen, graduates in computer and ICT related courses has risen. And demand for ICT practitioners covers a wide range of occupations. Rather than increasing the number of computer science graduates, more useful would be to ensure that ll graduates are skilled in designing and using new technologies. Of course developing such skills and competences should start at a much younger range. It is encouraging the ICT has been included in the primary school curriculum in England from next year.

The EU policy on future employment is based on the idea of job matching – of trying to match skills, qualifications and vacancies. Of course this does not work. What they should be doing is looking at prospective competences and skills – at giving young people the educations and skills to shape the future of workplace3s and employment. That could include the ability to use technology creatively in a socio-technical sense. But of course that would not suit the various industry lobby groups who are more concerned with protecting there profits than shaping the future of our society.

The debate over skills shortages is looming again. For some years national governments and the European Commission have been warning over shortages of qualified workers in Science, Engineering, Technology and Maths (STEM) . Yet a number of studies refute these claims.

A blog post on SmartPlanet quotes Robert Charette who, writing in IEEE Spectrum,  says that despite the hand wringing, “there are more STEM workers than suitable jobs.” He points to a study by the Economic Policy Institute that found that wages for U.S. IT and mathematics-related professionals have not grown appreciably over the past decade, and that they, too, have had difficulty finding jobs in the past five years. He lists a number of studies that refute the presence of a global STEM skills shortage. The U.S. Bureau of Labor Statistics, for one, estimates that there was a net loss of  370 000 science and engineering jobs in the U.S. in 2011.

I doubt that figures in Europe would be much different. One of the issues is how to define a ‘STEM” job. In the UK jobs are classified through a system called Standard Occupational Classification. This itself has its problems. Given the desire for comparability, SOC is only updated every ten years (the last was in 2010). In a time of fast changing occupations, it is inevitably out of date. Furthermore jobs are classified to four digits. This is simply not deep enough to deal with many real occupations. Even if a more detailed classification system was to be developed, present sample sizes on surveys – primarily the Labour Force Survey (LFS) would produce too few results for many occupations. And it is unlikely in the present political and financial environment that statistical agencies will be able to increase sample sizes.

But a bigger problem is linking subjects and courses to jobs. UK universities code courses according to the Joint Academic Coding System (JACS). It is pretty hard to equate JACS to SOC or even to map between them.

The bigger problem is how we relate knowledge and skills to employment. At one time a degree was seen as an academic preparation for employment. Now it is increasingly seen as a vocational course for employment in a particular field and we are attempting to map skills and competences to particular occupational profiles. That won’t really work. I doubt there is really a dire shortage of employees for STEM occupations as such. Predictions of such shortages come from industry representatives who may have a vested interest in ensuring over supply in order to keep wage rates down (more on this tomorrow). For some time now, national governments and the European Union, have had an obsession with STEM and particularly the computer industry as sources of economic competitiveness and growth and providers of employment (more to come about that, too).

However, more important may be the number of occupations which require use of mathematics or programming as part of the job. One of the problems with the present way of surveying occupational employment is that there is an assumption we all do one job. I would be pretty pushed to define what my occupation is – researcher, developer, write, journalist, project manager, company director? According to the statistics agency I can only be one. And then how the one, whichever it is, be matched to a university course. Computer programmers increasingly need advanced project management skills.  I suspect that one factor driving participation in MOOCs is that people require new skills and knowledge not acquired through their initial degrees for work purposes.

My conclusions – a) Don’t believe everything you read about skills shortages, and b) We need to ensure academic courses provide students with a wide range of skills and knowledge drawn from different disciplines, and c) We need to think in more depth about the link between education and work.

I have written periodic updates on the work we have been doing for the UKCES on open data, developing an open API to provide access to Labour Market Information. Although the APi is specifically targeted towards careers guidance organisations and towards end users looking for data to help in careers choices, in the longer term it may be of interest to others involved in labour market analysis and planning and for those working in economic, education and social planning.

The project has had to overcome a number of barriers, especially around the issues of disclosure, confidentiality and statistical reliability. The first public release of the API is now available. The following text is based on an email sent to interested individuals and organisations. Get in touch if you would like more information or would like to develop applications based on the API.

The screenshot above is of one of the ten applications developed at a hack day organised by one of our partners in the project, Rewired State. You can see all ten on their website.

The first pilot release of LMI for All is now available and to send you some details about this. Although this is a pilot version, it is fully functional and it would be great if you could test it as a pilot and let us know what is working well and what needs to be improved.

The main LMI for All site is at http://www.lmiforall.org.uk/.  This contains information about LMI for All and how it can be used.

The APi web explorer for developers can be accessed at http://api.lmiforall.org.uk/.  The APi is currently open for you to test and explore the potential for  development. If you wish to deploy the APi in your web site or application please email us at graham10 [at] mac [dot] com and we will supply you with an APi key.

For technical details and details about the data go to our wiki at http://collab.lmiforall.org.uk/.  This includes all the documentation including details about what data LMI for All includes and how this can be used.  There is also a frequently asked questions section.

Ongoing feedback from your organisation is an important part of the ongoing development of this data tool because we want to ensure that future improvements to LMI for All are based on feedback from people who have used it. To enable us to integrate this feedback into the development process, if you use LMI for All we will want to contact you about every four to six months to ask how things are progressing with the data tool. Additionally, to help with the promotion and roll out of LMI for All towards the end of the development period (second half of 2014), we may ask you for your permission to showcase particular LMI applications that your organisation chooses to develop.

If you have any questions, or need any further help, please use the FAQ space initially. However, if you have any specific questions which cannot be answered here, please use the LMI for All email address lmiforall [at] ukces [dot] org [dot] uk.

A quick and overdue update on the Labour Market Information for All project, which we are developing together with Raycom, the University of Warwick and Rewired State and  is sponsored by the UK Commission for Employment and Skills (UKCES).

LMI for All will provide an online data portal bringing together existing sources of labour market information (LMI) that can inform people’s decisions about their careers.  The database will contain robust LMI from national surveys and data sources providing a common and consistent baseline to use alongside less formal sources of intelligence. Due for release at the end of May 2013, access to the database will be through an open API. the results of queries can then be embedded by developers in their own web sites of apps. We will also provide a code library to assist developers.

The project builds on the commitment by the UK government to open data. despite this, it is not simple. As the Open Data White Paper (HM Government, 2012)highlights,  data gathered by the public sector is not always readily accessible. Quality of the data, intermittent publication and a lack of common standards are also barriers. A commitment is given to change the culture of organisations, to bring about change: ‘This must change and one of the barriers to change is cultural’ (p. 18).

We have talked to a considerable number of data providers including government bodies. It is striking that all have been cooperative and wishing to help us in providing access to data. However, the devil is in the detail.

Much of the data publicly collected, is done so on the condition that is is non disclosive e.e. that it is impossible to find out who submitted that data. And of course the lower the level of aggregation, the easier it is to identify where the data is coming from. And the more the data is linked, the more risk there s of disclosure.

We have developed ways of getting round this using both statistical methods (e.g. estimation) and technical approaches (data aggregation). But it remains a lot of work preparing the data for uploading to our database. And I guess that level of work will discourage others from utilising the potential of open data. It may explain why, transport excluded, their remain limited applications built on the open data movement in the UK.

It may suggest that the model we are working on, of a publicly funded project providing access to data, and then providing tools to build applications on top of that data, could provide a model for providing access to public data.

In the meantime if you are interested in using our API and developing your own applications for careers guidance and support, please get in touch.

There is growing concern over the consequences of the English (Scotland, Wales and Northern Ireland have different policies) government’s cutbacks and privatisation of  careers guidance for young people. The International Centre for Guidance Studies reports on a discussion paper called ‘Cost to the Economy of Government Policy on Career Guidance: A Business Case for Funding and Strengthening Career Guidance in Schools‘ from Lizzie Taylor who is an Careers England Affiliate Member. “The report claims that the economic consequence of current government policy on career education is an escalating annual cost to young people in reduced and lost earnings, reaching £676m p.a. in 2018 before dropping back slightly to £665 m p.a.2022. The total cost in reduced and lost earnings to young people in the period 2013 to 2022 is estimated as £3.2bn.”

For some reason the construction industry is not a sexy research area. Motor cars, yes, machine tools, yes, the computer industry, yes, yes, yes. But poor old construction, boring. Yet in economic terms, construction could be seen as the most important sector in Europe.

Our initial research under the Learning Layers project reveals some interesting contradictions. The construction industry is probably the biggest victim of the present recession. Even the neo liberal UK government is now taking actions to stimulate house building – through the partial nationalisation of mortgage debts. Probably an emphasis on infrastructure projects or on social housing would have had a bigger impact and would have avoided the risk of another house price bubble. But the fact they are doing anything at all shows the problem.

But whilst the recession has badly hit profitability and employment another concern has arisen in our interviews with construction companies. Managers are severely worried about the ability to recruit new trainees and particularly to recruit the better educated apprentices they see as critical to cope with the increasing use of technology in construction. Managers point to the major issue as being the image of the industry – just as in research they consider the industry not to be sufficiently sexy. They are less likely to discuss issues such as wages, opportunities for progression or just the sheer hard physical work involved in many construction trades. Having said that, reality may be very different from practice in other images which have a positive image. Work in the games industry can be hard, poorly paid and boring. And for every kid who makes a fortune out of a mobile app, thousands make no money at all.

Either way they are right in that there will almost certainly be demand for new skills to deal with technology – both in the uses of technology for construction but perhaps more important the changing materials being used in building today, not least due to ecologiocal and energy saving concerns and legislation. Whilst improving initial education training programmes is one response and attempting to improve the image of the industry, the big challenge may be to improve research and development and to develop more continuous training for existing employees. In this short extract form previous research, below, we provide an overview of the industry in Europe and Germany, together with issues in how training – or informal learning – might be improved.

The total turnover of the construction industry in 2010 (EU27) was 1186 billion Euros forming 9,7% of the GDP in 2010 (EU27). 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.   The level of investment in R&D in the European construction sector is low compared to other sectors. The construction sector only invests a small portion of its total production value in research, development, and innovation.

The developments of new processes and materials provide substantial challenges for the construction industry. The traditional educational and training methods are proving to be insufficient as the rapid emergence of new skill and quality requirements (for example those related to green building techniques) require much faster involvement and action on all three levels (individual, organisational and cluster) in order to react quickly to these changes and exploit opportunities. Without this the market potential is hampered by lack of innovation skills and training gaps (Dittrich, Deitmer 2003). The increased rate of technical change introduces greater uncertainty for firms, which, in turn, demands an increased capacity for problem solving skills (Toner 2011, 7). This situation is aggravated in some fast developing European Regions because skilled craftspeople are missing. Therefore there is increasing need for rapid re- and upskilling of the building workforce across the construction cluster.

The construction industry in Germany is one of the country’s most stable economic sectors. Providing jobs to more than 2,2 million people it holds a market share of 21% making the German construction sector the largest in the EU27 in terms of production value. In Germany the federal states, enterprises and the apprentices share the costs of the dual education system (practical training in schools and on-site training). The German compensation fund for construction industry SOKA-BAU reported a total of 270 million Euros of training allowances and job training costs in 2010 making it just a little more than 0,1% of the total production value. In fact, the building trade has one of the lowest participation rates for employees towards further training provision than any other sector (TNS INFRATEST 2008). This is because much of the formal training offering is only weakly connected with real work tasks. The cost pressure in building enterprises limits chances for time-consuming training measures far away from the workplace (Schulte, Spöttl, 2009). Any mobile support for learning and informing at the work place would be welcomed by companies as well as by building workers themselves. With enterprises paying for all the costs associated with the on-the-job training, SMEs need a cost effective solution to overcome the issues that occur with the rapid development in the technologies, processes and materials.