The New Media Consortium (NMC) and the National Institute for Staff and Organizational Development (NISOD), with the support of Dell Inc. and Intel, have jointly released the Technology Outlook for Community, Technical, and Junior Colleges 2013-2018: An NMC Horizon Project Sector Analysis . This report applies the process developed for the NMC Horizon Project, with a focus on identifying and describing emerging technologies likely to have an impact on teaching, learning, and creative inquiry in two-year higher education institutions around the world. Twelve emerging technologies are recognized across three adoption horizons over the next one to five years, as well as key trends and challenges expected to continue over the same period, giving campus leaders and practitioners a valuable guide for strategic technology planning.

The Technology Outlook for Community, Technical, and Junior Colleges 2013-2018 identifies BYOD, flipped classroom, online learning, and social media as technologies expected to enter mainstream use at community, technical, and junior colleges in the first horizon of one year or less. Badges, games and gamification, learning analytics, and next generation LMS are seen in the second horizon of two to three years; the Internet of Things, natural user interfaces, virtual assistants, and virtual and remote laboratories are seen emerging in the third horizon of four to five years.

One of the things I am working on in the Learning layers project is user engagement.

Learning Layers is based on user centred design model, involving end users and organisations in developing solutions to promote both formal and informal learning using technology in clusters consisting of:

• Small and Medium Enterprises.
• Regional Education and research institutions; typically upper secondary level and tertiary level)
• regional authorities, national and European – policymakers responsible for incentive systems for regional growth and innovation, and for developing policies and initiatives for initial and continuing vocational education and training
• Investors, banks, investment funds, business angels, public bodies- funding and supporting innovation.

Engaging with users and involving them in design of new solutions is also part of the research strategy. Layers researchers obtain research data from the interaction with users in the design based research model.

I am basing the strategy on a model of open innovation and will publish more about our ideas on this over the next few days. One of the things is to move away from the traditional project approach of dissemination of the end results to potential users and stakeholders to a model based on active participation – and on an architecture of participation. We have produced a table of different stakeholders in the project and are trying to understand from what direction their interest might come, what they want to get out of the project and what active contribution they might make.

Based on this we are putting forward a number of concrete initiatives the project can take over the next three and a half years.

One such idea is Layers PBL, standing for Layers Problem Based Learning, Practice Based Learning or Project Based learning depending in your way of looking at it (I see it as all three). This involves connecting outwards to engage with student groups, who in computing or business ICT are often required to undertake a one semester programme undertaking a real project in conjunction with companies.

We have piloted this approach with a team of students from HsKA, the Technical University of Karlsruhe. They are working on an idea for an app based on talks we had with a doctor at a Layers meeting held in Bradford earlier this year. The idea is that in their limited free time (in the car between appointments and meetings) users can reply to a series of questions on their phone. They can move between questions through a voice command and the app will communicate with a webs interface to produce a transcript of their answers which can then be edited and downloaded. The web interface also allows people to build their own (scaffolded) sequence of questions – which we call a stack – and to share them with other users if they wish. They can also rate different stacks.

So far it is going pretty well. The web interface is pretty much finished and they are now developing the mobile interface. The students are using SCRUM programming with weekly sprints. We usually meet online for about 20 minutes a week for them to present their progress and for us to provide feedback.

Last week I talked with Chris Whitehead who ia programmer with Tribal, another partner in the Layers project. Chris has helped develop m-learning. a content development tool for mobiles. And he suggested that we could link the app being developed by the Karlsruhe students (code named Reflect) to the m-learning application. I talked about this to Andreas Vratny, one of the Karlsruhe lead developers, on Friday. And hey presto, by Sunday we had an API and an OAuth system to allow single log in to the two systems.

The present version of the app is being developed for the Android operating system. We will release it on the Pontydysgu site as soon as it is ready, as well as on the Android store. If it catches on we will try to port it to iOS. And we are thinking about extending our development activities to further universities with a the development of a Layers Design Library to support developers. If anyone is interested please get in touch.

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.

In the past, I spent a lot of time researching different kinds of knowledge and how they could be supported by vocational education and training. In particular, I was trying to counter the reductionist approach, as embodied in the then National Vocational Qualifications in the UK, which came from a narrow understanding of competence. Lately I have been returning to that research to try to understand how technologies can support the development of vocational competence and knowledge in a workplace setting.

This is an extract from a paper entitled  ‘Work process knowledge, Communities of Practice and the development and introduction of mobile learning applications in the workplace’, submitted by myself, Ludger Deitmer, Lars Heinemann and Pekka Kamarainen to the ECTEL 2013 conference. You can download the full paper in PDF format here.

When thinking about knowledge development in a richer way, it may be useful to distinguish between different types of knowledge. Lundvall and Johnson (1994) identify four different kinds of knowledge, each requiring different types of mastery: know-what, know-why, know-how, and know-who.

Know-what refers to knowledge about ‘facts’: it can be considered as equivalent to what is normally called information and related to the knowledge ‘corpus’ that each category of experts must possess. Know-why refers to scientific knowledge, influencing technological development and the pace and characteristics of its applications in industries of every kind. Also in this case, knowledge production and reproduction take place within organised processes, such as university teaching, scientific research, specialised personnel recruiting, and so on.

Know-how refers to skills – that is, the capabilities to do something in different contexts (e.g. judging the market prospects for a new product, operating a machine-tool, etc.). Of course know-how is typically a kind of knowledge developed at the individual level¹, but its importance is evident also if one considers the division of labour and degree of co-operation taking place within organisations and even at the inter-organisational level (for instance, the formation of industrial net-works is largely due to the need for firms to be able to share and combine elements of know-how). Know-who is another kind of knowledge which is becoming increasingly important, referring to a mix of different kinds of skills, in particular the social skills, allowing the access and use of knowledge possessed by someone else.

Rauner et al. (2013) modified these categories in order to bring it in line with the ideas of situated learning and communities of practice, emphasising the role of work processes and the corresponding work process knowledge. The categories of know-what and know-how still refer to ‘factual’ knowledge and the ways of ‘expressing’ it in a work process. The third category, know-why, refers to why to carry out a specific task in a certain way (or, if more appropriate, in another). This modification is due to the insight, that work tasks as well as work processes in post-Taylorist work organisations do not follow a logic of right/wrong. Instead, a solution to a problem can be more or less adequate. This adequacy depends on a number of partly conflicting factors, One may programme the control of a car’s motor giving different weight to factors like acceleration, fuel consumption, high speed, exhaust emissions, etc., according to the intended main use. An electrician may counsel his or her customer on the design of a lighting system regarding costs, efficiency, ecological aspects, sustainability, ease of maintenance, etc., according to the end-users’ ideas. This, then, has the consequence that vocational learning has to address all these three dimensions of knowledge as a whole. The ‘reflective practitioner’ (Schön 1983) is not someone reflecting on what he or she has done after work, using analogue or digital media. ‘Reflection’ is a category built in the expert solution of work tasks requiring a deep knowledge of the work process a given task is embedded in.

Each kind of knowledge is characterised by different channels through which learning takes place and can be supported in different ways using technologies. The easiest cases are those of know-what and know-why, that can be obtained through the typical channels of knowledge acquisition (watching videos, accessing data bases), while the other two categories are rooted primarily in practical experience and in terms of technology enhanced learning have been more problematic insofar as they require the availability of informal social channels. Apprenticeship is a fundamental channel for acquiring know-how knowledge: it represents the most important way for skilling newcomers in an organisation, but these protracted processes of learning by doing are also frequently the responsibility of those who are considered the experts in an organisation, capable of above-average performance. Technology can be used to bring together novices and experts Simulations can be used as shortcuts for reproducing the many aspects of the know-how acquisition available in real situations. Mobile technology can capture know-how in the application of knowledge within the workplace. Know-why can be facilitated by helping to make traceable the processes guiding expert workers’ decision making. In general, this points to a use of digital media going far beyond the transmission of information.

References

Lundvall. B.; Johnson, B. (1994) The learning economy, Journal of Industrial Studies, 1.

Rauner, F., Heinemann, L., Maurer, A., Haasler, B. (2013) Competence Development and Assessment in TVET (COMET), Dordrecht: Springer.

I am spending a lot of time working on the Learning Layers project at the moment. There are two interlinked areas on which I have been thinking. The first is design processes – more particularly how we can develop a user centred or co-design process. And the second is how we can scale the uptake of applications and approaches to learning with technology to significant numbers of users.

the two are interlinked, I think, because if we involve users in every part of the design process, we have a reasonable chance of developing software which is relevant to users. However, having said that, we are realising that different users have very different interests. We are working in two main sectors – or industrial clusters – in the construction sector and in the health sector. Motivations and restrains on the use of technologies for learning vary greatly between the two sectors. In the construction sector there seems a general desire to use technology both to improve the image of the sector – and thus attract new trainees – and to update and improve the quality of both initial and continuing learning. In the medical sector, there is probably more concern on how to update learning and knowledge in a situation where time and opportunity for formal learning is very limited. But interestingly, attitudes towards technology also varies greatly between individuals, even in the same workplace.

The original EU specification for the project is that we focus on sectors where the take up of technology for learning has been limited and is lagging behind. This may be a misconception. In truth in both sectors we are finding plenty of examples of learning practice using technology. But we are also finding many examples where there is little use of technology and even where access to social networks or the use of mobile devices is banned. I suspect that we would find a similar pattern in other sectors. So challenge number one is how we involve workers in the codesign process. Should we focus on those who are enthusiastic – as early adapters – or should we try to involve those more sceptical about the potential of technology to support learning in the workplace?

Challenge number two is around the target to upscale to involve significant numbers of users. Although the project is targeted at workers in Small and Medium Enterprises, and we have a number fo these involved as partners in the project, it is clear that we will have to involve industry organisations in the upscaling. the original application was based on the idea of industrial clusters. There is a great deal of research on such clusters, which I will talk about more in a future article. Enough to say, that we are encountering different forms of organisations which bring together different SMEs. These include industrial clusters, usually around innovation such as the use of green technology in construction. But they may also include different networks and communities of practice which may be more or less fomalised. For instance, in Bremen the Electro Innung brings together over 120 SMEs in the electrical sector of the construction trade. It forms part of the structure of craft chambers through which craft trade companies in Germany are organised. And Communities of Practice can cut across more traditional organisations.

At the moment we are working on a User Engagement plan and looking at the potential interests of different stakeholders in the Learning layers project. The intention is that once we have such a plan we can work out a strategy for interacting with these organisations and for taking forward the user centred design process.

Interestingly Google searches on user engagement produce little of interest, mainly being driven by the concerns of social software companies to gain and retain more users. Hover changing the search string to stakeholder engagement yields far richer results. There seems a valuable tradition of research and development by economic and social development organisations and aid organisations seeking to consult with and involve users in various projects. In particular the Stakeholder Engagement toolkit (from which the diagramme above is taken), produced by the European funded REVIT project, provides a wealth of practical ideas.

I would welcome any feedback and ideas readers have found useful around both user centred design and user engagement.

More on work based mobile learning.

One of the major problems with Technology Enhanced Mobile Learning has been the split between the digital and analogue worlds. The digital world enables all kinds of personal interactions and interactions with digital artefacts. Some things are easier to digitalise than others. So books, diagrammes, audio, video can all easily be transmitted through digital media. But some artefacts are more difficult to capture in digital media – for instance a hammer, a saw, an earthmover. Of course it is possible to simulate some of these things – for instance flying an aircraft.

It is much more problematic to capture the haptics of using a hammer. Thus Technology Enhanced Learning has tended to focus on cognitive processes of learning. When it comes to practice we tell learners they should use their computers to assist in the process of reflection. That is fine but it is not enough. Many areas of work require real world interactions with both people and with physical artefacts. And I think that is why Technology Enhanced Learning has made only a limited inroad into work based learning and for that matter into learning in Small and Medium Enterprises.

The importance of tools and physical artefacts should not be underestimated. Artefacts are closely linked to practice. Wenger (1998) points out that amongst other features a Community of Practice is defined by “what capability it has produced – the shared repertoire of communal resources (routines, sensibilities, artefacts, vocabulary, styles, etc.) that members have developed over time.”

There are different approaches we can take to integrating physical artefacts with applications and technology for learning (and in a further post I will outline some ideas). At a more abstract level I think we have to progress beyond seeing technology (like Learning Management Systems) as a container for learning into using mobile technologies as a tool for working and learning. In other words mobile technologies themselves become an artefact, on the same level as other work tools. We also need to look at integrating learning with the increasingly sophisticated data that many machines and artefacts produce – data that at the moment often exists in a silo.  Of course that means integrating learning in the work process, and bringing together digital work tools with digital learning tools. That learning needs to be scaffolded seems obvious. But the scaffolding should move seamlessly between the use of digital devices and interactions with real life objects.

And that again requires co-design approaches, involving potential suers from the start in designing and developing learning processes and applications. Learning layers is making good progress with this and I am increasingly confident that the project can transcend the divide between the physical and digital worlds.

The New Media Consortium (NMC) and EDUCAUSE Learning Initiative (ELI) have released the NMC Horizon Report0> 2013 Higher Education Edition. This tenth edition describes annual findings from the NMC Horizon Project, a decade-long research project designed to identify and describe emerging technologies likely to have an impact on learning, teaching, and creative inquiry in education. Six emerging technologies are identified across three adoption horizons over the next one to five years, as well as key trends and challenges expected to continue over the same period, giving campus leaders and practitioners a valuable guide for strategic technology planning.

This year’s NMC Horizon Report identifies massively open online courses (MOOCs) and tablet computing as technologies expected to enter mainstream use in the first horizon of one year or less. Games and gamification and learning analytics are seen in the second horizon of two to three years; 3D printing and wearable technology are seen emerging in the third horizon of four to five years.

Download the report at go.nmc.org/2013-hied.

My colleague Pekka from the University of Bremen has posted a series of useful reports on this site about the Application Partner Days, held as part of the Learning Layers project, funded by the European Commission IST programme.

Learning layers is aiming to increase the use of technology for learning in Small and Medium Enterprises in Europe, particularly through the use of mobile devices for informal learning in two ‘industry clusters, in the north German construction industry and in the medical sector in north east England.

Obviously such a project faces a number of challenges, given the slow take up of technology enhanced learning in SMEs. The Application Partner Days are designed to bring developers and researchers together with potential end users in organisations in the two sectors. And prior to the Application partner Days in north Germany, we also spent two days visiting companies and organisations in the sector responsible for education and training and for policy development in this area.

Rather than repeat Pekka’s excellent summary of the proceedings, I will offer a few observations, based on my own attempts to make sense of all we saw and of our discussions.

Firstly there is a perception that there are barriers to introducing technology for learning in small enterprises. But most people we spoke to were overwhelmingly positive about the potential especially of mobile devices. Although it was felt there may be some individual resistance, due to lack of familiarity or fears over privacy, in general it was felt that mobile devices would be easily accepted, especially by younger workers. Indeed, some people we talked to felt that introducing technology could make the construction industry more attractive and help overcome recruitment problems. The big driver for this seems to be the increasing everyday use of internet enabled phones. And  flat rate data contracts mean more workers are prepared to use the ir own device for work purposes.

The issue of sharing between enterprises is more problematic. Some seem willing to share data, others less so. My impression is that this is a new situation where companies are undecided on the implications of sharing. And, of course there are worries over privacy and security, particularly and understandably in the medical sector. Interestingly, I was talking last weekend with someone responsible for the introduction of mobile devices in a major agency in the UK. One of their key requirements is that data is not held in the USA, due to fears over US security policies.

During the different workshop and focus group sessions we held in the Application Partner Days, we sought to gather ideas for applications which could be useful within the SMEs. A number of these =focused on better communication and information flows. The boundary between applications that support learning and those supporting communication and information exchange is becoming blurred. Better information provision can support informal learning but this may not be an automatic process.

Even though the Learning Layers project has relatively generous funding support from the European Commission, there are of course limits to what we can do. Even with the increasing functionality of Software Development Kits and frameworks, development takes time and resources. How do we decide what developments we wish to prioritise. And at the same time there is an avalanche of commercial applications being made available for both Apple and Android operating systems.

One answer may be to develop interlinked physical and on-line ‘Demonstration Centres’ which can bring together both relevant commercial Applications with apps produced through the Layers project.

A second approach may to to focus on boundary points. Obviously the medical and construction sectors both contain workers from different occupations organised through various structures and networks. These I would characterise as Communities of Practice. It is where innovations – both technical and social – occur that innovation occurs and new cluster emerge transcending the boundaries between traditional Communities of Practice and occupations and challenging existing occupational practices. It may be that it is at these points that the need for learning and new forms of collaborative working are at there greatest. Of course much of this learning is informal. And if the boundary points offer opportunities for the emergence of new innovation clusters, they may also serve to frustrate innovation where learning is impeded by existing organisational and occupational practices.

Lets try and provide a couple of examples to make this discussion a little less abstract! In the construction industry we can see a series of emergent innovation networks in the area of green or ecological construction. these involve collaboration by workers from different occupations using new materials, or old materials in new ways and developing new practices. Similarly, the use of Programmable Logic Controllers is crossing boundaries between programming and electrical installation. In the medical industry, we are looking at new practices and forms of organisation for supporting those with diabetes.

If we focus resources on such emergent practices, the result might be both to stimulate economic and social sustainability for small enterprises, to promote sustainable growth and the generation of new employment and at the same time support the development of knowledge maturing and informal learning within and between Communities of Practice.

Lastly but not least. The Learning layers project will run for four years and is keen to involve organisations and researchers interested in our work. You can sign up on the Layers website to become part of a Stakeholder Network, giving enhanced access to the work and to the applications being developed.

Another in my occasional series of infographics. I have tried several times to make infographics myself but have never managed to do anything I am happy with. I particularly like this one as it tries to answer a question which few people I asked could give me a clear answer to. And it also shows the amount of effort it takes to produce a good App. I guess that Pontydysgu is going to have to enter the app market this year.

Incidentally, Kinvey, the company behind this infographic who seem to be selling Back end as a Service (a new term to me), also provide access to downland a free ebook, ‘How to make an Android App‘. This seems to be a growing trend of providing free ebooks in return for providing them with your email address. I don’t mind this as long as they use their database sparingly!

A new year and it is time to return to the blog. I have been back in work for a week but bogged down with a project financial report. Anyway happy new year to everybody.

New year is traditionally the time bloggers make their predictions for the year ahead. There doesn’t appear to be anything startling in predictions for educational technology. As Stephen Downes says

I’m always thinking about the future of learning technology, even if I don’t write about it so much these days. This is partially because it has become a bit predictable. Learning will become more open and content cheaper and easier to produce – hence, the move to flips, MOOCs and son-of-flips-and-MOOCs will continue. Computer hardware will continue to outpace need, so we’ll see an increase in cloud and virtualization. Always-connected and mobile will continue to grow and increase capacity with LTE and processing power, so we’ll see always-on learning. And then of course there are the things that have happened in the past, which are the easiest to predict, things like 3D printing, gamification and analytics. All good. These are the easy predictions, and everyone is making them.

He goes on to make an interesting prediction that publishers will regain power from the move to HTML5 which is harder to use than previous mark up technologies. I am not so sure about this – there are a growing number of software development kits which may make HTML5 quite easy to use.

I also think the move towards open learning needs a bit of unpicking. Open could and should go way beyond higher education institutions offering MOOCs – be they of the c or x variant. Way more important for me is the potential for knowledge to be shared openly and to be applied in context. Always-connected and mobile moves learning out of the classroom and into the context in which both knowledge might be acquired practically and at the same time applied. And if learning analytics could be extended beyond its present institutional focus to look at real life learning there is the potential to merge learning and knowledge development as well as formal and informal learning and develop a whole new ecosystem of learning. That is my hope and my prediction for 2013.