Yesterday, together with my colleague Jenny Hughes, I made a presentation to participants in the Critical Literacies course being run by Rita Kop and Stephen Downes as part of their ongoing research project on Personal Learning Environments.

The course blog says: “Technology has brought changes to the way people learn and some “critical literacies” are becoming increasingly important. This course is about these critical literacies. Critical, as the course is not just about finding out how to use the latest technologies for learning, but to look critically at the Web and its underlying structures. Literacies, as it is more about capabilities to be developed than about the acquisition of a set of skills. It is all about learning what is needed to develop confidence and competence, and to feel capable of negotiating an ever changing information and media landscape.”

Our presentation was on pragmatics. Pragmatics, we said is a sub field of linguistics which studies the ways in which context contributes to meaning.

Today we have made a short version of the presentation as a slidecast. In the presentation we explore different ideas about context in education. In the final part of the presentation we look at Personal Learning Environments and how they relate to issues of meaning and context.

The introductory and end music is from an album called Earth by zero-project. it can be downloaded from the excellent Jamendo web site.

I have been invited to deliver a keynote presentation at the PLE 2010 conference in July in Barcelona. And the organising committee has asked each of the keynote speakers – the others are Alec Couros, Ismael Peña Lopez and Jordi  Adell to make a short video or slidecast about their presentation. So here is my contribution – hope you like it.

I have written at length on this blog about the growing tension between the schooling system and the changing ways in which we are using the internet for self managed, networked learning, often through informal learning in the work force. The implications of this these changes are slowly working their way into the system.

The US Information Week government website draws attention to an interesting report. The report, ‘Net Generation: Preparing for Change in the Federal Information Technology Workforce,’  “surveyed federal IT workforce trends and found that young IT workers are among the most demanding employees yet, but that the federal government, in many places, has been falling short in its ability to entice these young workers to join and remain in the federal workforce.”

There are three particularly interesting findings from the report.

Firstly, instead of choosing a career and working their way upwards within a company or organisation, individuals are tending to see particular posts as learning situations, moving on when they have acquired new skills and competences. ““‘Net-Geners’ are not patiently working their way through the organizational hierarchy, but are instead sampling professional opportunities and moving on quickly when they see no clear-cut advantages, personally, professionally, or financially, to staying,” the report said. “As a result, many organizations are experiencing the loss of younger workers before they can recover their recruitment investment.”

Secondly the report suggested changes in workplace design and practice to make the workplace more attractive to younger workers. This includes IT leaderships working “actively and openly” with teams to facilitate a trusting and empowered working environment. The report urged regular assessments, as it found that young workers are constantly looking for feedback.

The report also recognised the importance of social networking for working and learning.“The Net Generation understands intuitively the power of Web 2.0,” the report said. “The deprivation of connectivity to the Internet has a visceral impact on the Net Generation.” That means agencies must strive to adopt the latest social media technologies to help accommodate the working styles of young IT workers, and that agencies need to look more strongly to the possibility of telework.

A finding from research we have undertaken in Pontydysgu is that the more responsibility people have for their work, the more likely they are to use technology for informal learning. The research also suggest that tecahing others is a powerful form of learning. the report appears recognise such findings.

The report pushed managers to give young workers early responsibility. “Younger, more technically savvy workers who demonstrate the ability to interject greater efficiency through technological solutions can provide training on these capabilities,” the report said.

The report is interesting. We have consistently pointed to the need to design workplaces to provide opportunities for learning. Sadly, all too often this is not happening. There are numerous frustrations particularly in regard to limited internet access. The report is into Federal IT employees, an area where there is likely to be a skills shortage in the future. But, longer term, it may be that such sectors can provide examples of innovative practice for future work space design.

Here is the other part of the paper on the future of learning environments which I serialised on this web site last week. In truth it is the section I am least happy with. My point is that young people (and not just young people) are using social software and Web 2.0 technologies for work, play and learning outside institutions. Furthermore the pedagogic approaches to such (self-directed) learning are very different than the pedagogic approaches generally adopted in schools and educational institutions. Social networking is increasingly being used to support informal learning in work. The issue is how to show this. there are a wealth of studies and reports – which ones should I cite. And I am aware that there is a danger of just choosing reports which back up my own ideas. Anyway, as always, your comments are very welcome.

Web 2.0 and Bricolage

Web 2.0 applications and social software mark a change in our use of computers from consumption to creation. A series of studies and reports have provided rich evidence of the ways young people are using technology and the internet for socialising, communicating and for learning. Young people are increasingly using technology for creating and sharing multi media objects and for social networking. A Pew Research study (Lenhart and Madden, 2005) found that 56 per cent of young people in America were using computers for ‘creative activities, writing and posting of the internet, mixing and constructing multimedia and developing their own content. Twelve to 17-year-olds look to web tools to share what they think and do online. One in five who use the net said they used other people’s images, audio or text to help make their own creations. According to Raine (BBC, 2005), “These teens were born into a digital world where they expect to be able to create, consume, remix, and share material with each other and lots of strangers.”

Such a process of creation, remixing and sharing is similar to Levi Struass’s idea of bricolage as a functioning of the logic of the concrete. In their book ‘Introducing Levi Strauus and Structural Anthropology’, Boris Wiseman and Judy Groves explains the work of the bricoleur:

“Unlike the engineer who creates specialised tools and materials for each new project that he embarks upon, the bricoleur work with materials that are always second hand.

In as much as he must make do with whatever is at hand, an element of chance always enters into the work of the bricoleur……

The bricoleur is in possession of a stock of objects (a “treasure”). These possess “meaning” in as much as they are bound together by a set of possible relationships, one of which is concretized by the bricoleur’s choice”.

Young people today are collecting their treasure to make their own meanings of objects they discover on the web. In contrast our education systems are based on specialised tools and materials.

Social networking

It is not only young people who are using social networks for communication, content sharing and learning. A further survey by Pew Internet (Lenhart, 2009) on adults use of social networking sites found:

• 79% of American adults used the internet in 2009, up from 67% in Feb. 2005
• 46% of online American adults 18 and older use a social networking site like MySpace, Facebook or LinkedIn, up from 8% in February 2005.
• 65% of teens 12-17 use online social networks as of Feb 2008, up from 58% in 2007 and 55% in 2006.
• As of August 2009, Facebook was the most popular online social network for American adults 18 and older.
• 10-12% are on “other” sites like Bebo, Last.FM, Digg, Blackplanet, Orkut, Hi5 and Match.com?

Lest this be thought to be a north American phenomena, Ewan McIntosh (2008) has provided a summary of a series of studies undertaken in the UK (Ofcom Social Networking Research, the Oxford Internet Institute’s Internet Surveys, Ofcom Media Literacy Audit).

The main use of the internet by young people, by far, is for learning: 57% use the net for homework, saying it provides more information than books. 15% use it for learning that is not ’school’. 40% use it to stay in touch with friends, 9% for entertainment such as YouTube.

Most users of the net are using it at home (94%), then at work (34%), another persons house (30%) or at school (16%). Only 12% use public libraries and 9% internet cafés. Most people’s first exposure to the web is at home.

A further survey into the use of technology for learning in Small and Medium Enterprises found few instances of the use of formal educational technologies (Attwell, 2007). But the study found the widespread everyday use of internet technologies for informal learning, utilizing a wide range of business and social software applications. This finding is confirmed by a recent study on the adoption of social networking in the workplace and Enterprise 2.0 (Oliver Young G, 2009). The study found almost two-thirds of those responding (65%) said that social networks had increased either their efficiency at work, or the efficiency of their colleagues. 63% of respondents who said that using them had enabled them to do something that they hadn’t been able to do before. The survey of based on 2500 interviews in five European countries found the following percentage of respondents reported adoption of social networks in the workplace:

• Germany – 72%
• Netherlands – 67%
• Belgium – 65%
• France – 62%
• UK – 59%

Of course such studies beg the question of the nature and purpose of the use of social software in the workplace. The findings of the ICT and SME project, which was based on 106 case studies in six European countries (Attwell, 2007) focused on the use of technologies for informal learning. The study suggested that although social software was used for information seeking and for social and communication purposes it was also being widely used for informal learning. In such a context:

• Learning takes place in response to problems or issues or is driven by the interests of the learner
• Learning is sequenced by the learner
• Learning is episodic
• Learning is controlled by the learner in terms of pace and time
• Learning is heavily contextual in terms of time, place and use
• Learning is cross disciplinary or cross subject
• Learning is interactive with practice
• Learning builds on often idiosyncratic and personal knowledge bases
• Learning takes place in communities of practice

It is also worth considering the growing use of mobile devices. A recent Pew Internet survey (Lenhart et al, 2010) found that of the 75% of teens who own cell phones in the USA, 87% use text messaging at least occasionally. Among those texters:

• Half of teens send 50 or more text messages a day, or 1,500 texts a month, and one in three send more than 100 texts a day, or more than 3,000 texts a month.
• 15% of teens who are texters send more than 200 texts a day, or more than 6,000 texts a month.
• Boys typically send and receive 30 texts a day; girls typically send and receive 80 messages per day.
• Teen texters ages 12-13 typically send and receive 20 texts a day.
• 14-17 year-old texters typically send and receive 60 text messages a day.
• Older girls who text are the most active, with 14-17 year-old girls typically sending 100 or more messages a day or more than 3,000 texts a month
• However, while many teens are avid texters, a substantial minority are not. One-fifth of teen texters (22%) send and receive just 1-10 texts a day or 30-300 a month.

Once more, of those who owned mobile phones:

• 83% use their phones to take pictures.
• 64% share pictures with others.
• 60% play music on their phones.
• 46% play games on their phones.
• 32% exchange videos on their phones.
• 31% exchange instant messages on their phones.
• 27% go online for general purposes on their phones.
• 23% access social network sites on their phones.
• 21% use email on their phones.
• 11% purchase things via their phones.

It is not just the material and functional character of the technologies which is important but the potential of the use of mobile devices to contribute to a new “participatory culture” (Jenkins at al). Jenkins at al define such a culture as one “with relatively low barriers to artistic expression and civic engagement, strong support for creating and sharing one’s creations, and some type of informal mentorship whereby what is known by the most experienced is passed along to novices… Participatory culture is emerging as the culture absorbs and responds to the explosion of new media technologies that make it possible for average consumers to archive, annotate, appropriate, and recirculate media content in powerful new ways.”

Thus we can see the ways in which technology and the internet is being used for constructing knowledge and meaning through bricolage and through developing and sharing content. This takes place through extended social networks which both serve for staying in touch with friends but also for seeking information and for learning in a participatory culture.

A short conclusion to this weeks mini series of posts on the Future of Learning Environments.

In this series we have argued that the present ‘industrial’ schooling system is fast becoming dysfunctional, neither providing the skills and competences required in our economies nor corresponding to the ways in which we are using the procedural and social aspects of technology for learning and developing and sharing knowledge.We have gone on to propose that the development and use of Personal Learning Networks and Personal Learning Environments can support and mediate individual and group based learning in multiple contexts and promote learner autonomy and control. The role of teachers in such an environment would be to support, model and scaffold learning.

Such an approach will allow the development and exploration of Personal Learning Pathways, based on the interests and needs of the learners and participation in culturally rich collaborative forms of knowledge construction. Such approaches to learning recognise the role of informal learning and the role of context. Schools can only form one part of such collaborative and networked knowledge constellation. Indeed the focus moves from schools as institutional embodiments of learning to focus on the process and forms of learning. Hence institutions must rethink and recast their role as part of community and distributed networks supporting learning and collaborative knowledge development. Indeed, the major impact of the uses of new technologies and social networking for learning is to move learning out of the institutions and into wider society. For schools to continue to play a role in that learning, they too have to reposition themselves within wider social networks and communities. This is a two way process, not only schools reaching outwards, but also opening up to the community, distributed or otherwise, to join in collaborative learning processes.The future development of technology looks likely to increase pressures for such change. Social networks and social networking practice is continuing to grow and is increasingly integrated in different areas of society and economy. At the same time new interfaces to computers and networks are likely to render the keyboard obsolescent, allowing the integration of computers and learning in everyday life and activity. Personal Learning Pathways will guide and mediate progression through this expanded learning environment.

Another section of my new paper, now entitled ‘The Future of Learning Environments. The section looks at Personal Learning Environments and Vygotsky.

The emergence of Personal Learning Environments

Dave Wiley, in a paper entitled ‘Open for learning: the CMS and the Open Learning Network‘ and co-written with Jon Mott, explains the failure of Technology Enhanced Education as being due to the way technology has been used to maintain existing practices:

“by perpetuating the Industrial Era-inspired, assembly line notion that the semester-bound course is the naturally appropriate unit of instruction (Reigeluth, 1999).”

The paper quotes Herrington, Reeves, and Oliver (2005) who argue that course management software leads universities to “think they are in the information industry”. In contrast to”the authentic learning environments prompted by advances in cognitive and constructivist learning theories”:

“the industrial, course management model has its center of gravity in teachers generating content, teachers gathering resources, teachers grouping and sequencing information, and teachers giving the information to students.”

In contrast, socio-cultural theories of knowledge acquisition stress the importance of collaborative learning and ‘learning communities’. Agostini et al. (2003) complain about the lack of support offered by many virtual learning environments (VLEs) for emerging communities of interest and the need to link with official organisational structures within which individuals are working. Ideally, VLEs should link knowledge assets with people, communities and informal knowledge (Agostini et al, 2003) and support the development of social networks for learning (Fischer, 1995). The idea of a personal learning space is taken further by Razavi and Iverson (2006) who suggest integrating weblogs, ePortfolios, and social networking functionality in this environment both for enhanced e-learning and knowledge management, and for developing communities of practice.

Based on these ideas of collaborative learning and social networks within communities of practice, the notion of Personal Learning Environments is being put forward as a new approach to the development of e-learning tools (Wilson et al, 2006) that are no longer focused on integrated learning platforms such as VLEs or course management systems. In contrast, these PLEs are made-up of a collection of loosely coupled tools, including Web 2.0 technologies, used for working, learning, reflection and collaboration with others. PLEs can be seen as the spaces in which people interact and communicate and whose ultimate result is learning and the development of collective know-how. A PLE can use social software for informal learning which is learner driven, problem-based and motivated by interest – not as a process triggered by a single learning provider, but as a continuing activity.

Personal Learning Environments are by definition individual. However it is possible to provide tools and services to support individuals in developing their own environment. In looking at the needs of careers guidance advisors for learning Attwell. Barnes, Bimrose and Brown, (2008) say a PLE should be based on a set of tools to allow personal access to resources from multiple sources, and to support knowledge creation and communication. Based on an initial scoping of knowledge development needs, a list of possible functions for a PLE have been suggested, including: access/search for information and knowledge; aggregate and scaffold by combining information and knowledge; manipulate, rearrange and repurpose knowledge artefacts; analyse information to develop knowledge; reflect, question, challenge, seek clarification, form and defend opinions; present ideas, learning and knowledge in different ways and for different purposes; represent the underpinning knowledge structures of different artefacts and support the dynamic re-rendering of such structures; share by supporting individuals in their learning and knowledge; networking by creating a collaborative learning environment.

Whilst PLEs may be represented as technology, including applications and services, more important is the idea of supporting individual and group based learning in multiple contexts and of promoting learner autonomy and control. Conole (2008) suggests a personal working environment and mixture of institutional and self selected tools are increasingly becoming the norm. She says: “Research looking at how students are appropriating technologies points to similar changes in practice: students are mixing and matching different tools to meet their personal needs and preferences, not just relying on institutionally provided tools and indeed in some instances shunning them in favour of their own personal tools.”

Vygotsky and Personal Learning Environments

A Personal Learning Environment is developed from tools or artefacts. Vygotsky (1978) considered that all artefacts are culturally, historically and institutionally situated. “In a sense, then, there is no way not to be socioculturally situated when carrying out an action. Conversely there is no tool that is adequate to all tasks, and there is no universally appropriate form of cultural mediation. Even language, the ‘tool of tools’ is no exception to this rule” (Cole and Wertsch, 2006). Social networking tools are culturally situated artefacts. Jyri Engestrom (2005) says “the term ‘social networking’ makes little sense if we leave out the objects that mediate the ties between people. Think about the object as the reason why people affiliate with each specific other and not just anyone. For instance, if the object is a job, it will connect me to one set of people whereas a date will link me to a radically different group. This is common sense but unfortunately it’s not included in the image of the network diagram that most people imagine when they hear the term ‘social network.’ The fallacy is to think that social networks are just made up of people. They’re not; social networks consist of people who are connected by a shared object.”

Vygotsky’s research focused on school based learning. He developed the idea of the Zone of Proximal Development (ZPD) which is the gap between “actual developmental level” which children can accomplish independently and the “potential developmental level” which children can accomplish when they are interacting with others who are more capable peers or adults.

In Vygotsky’s view, interactions with the social environment, including peer interaction and/or scaffolding, are important ways to facilitate individual cognitive growth and knowledge acquisition. Therefore, learning presupposes a specific social nature and a process by which children grow into the intellectual life of those around them. Vygotsky said that learning awakens a variety of internal developmental processes that are able to operate only when the child is interacting with people in his (sic) environment and in cooperation with his peers. Once these processes are internalized, they become part of the child’s independent developmental achievement (Vygotsky, 1978).

Vygotsky also emphasized the importance of the social nature of imagination play for development. He saw the imaginary situations created in play as zones of proximal development that operate as mental support system (Fleer, 2008).

Vykotsky called teachers – or peers – who supported learning in the ZDP as the More Knowledgeable Other. “The MKO is anyone who has a better understanding or a higher ability level than the leaner particularly in regards to a specific task, concept or process. Traditionally the MKO is thought of as a teacher, an older adult or a peer” (Dahms et al, 2007). But the MKO can also be viewed as a learning object or social software which embodies and mediates learning at higher levels of knowledge about the topic being learned than the learner presently possesses.

The role of a Personal Learning Environment may be not only that of a tool to provide access to ‘More Knowledgeable Others’ but as part of a system to allow learners to link learning to performance in practice, though work processes. And taking a wider view of artefacts as including information or knowledge accessed through a PLE, reflection on action or performance may in turn generate new artefacts for others to use within a ZPD.

Dahms et all (2007) say that Vygotsky’s findings suggest methodological procedures for the classroom. “In Vygotskian perspective, the ideal role of the teacher is that of providing scaffolding (collaborative dialogue) to assist students on tasks within their zones of proximal development”(Hamilton and Ghatala, 1994). ”During scaffolding the first step is to build interest and engage the learner. Once the learner is actively participating, the given task should be simplified by breaking it into smaller sub-tasks. During this task, the teacher needs to keep the learner focused, while concentrating on the most important ideas of the assignment. One of the most integral steps in scaffolding consists of keeping the learner from becoming frustrated. The final task associated with scaffolding involves the teacher modelling possible ways of completing tasks, which the learner can then imitate and eventually internalise” (Dahms et al., 2007).

Social media and particularly video present rich opportunities for the modelling of ways of completing a task, especially given the ability of using social networking software to support communities of practice. However, imitation alone may not be sufficient in the context of advanced knowledge work. Rather, refection is required both to understand more abstract models and at the same time to reapply models to particular contexts and instances of application in practice. Thus PLE tools need to be able to support the visualisation or representation of models and to promote reflection on their relevance and meaning in context. Although Vygotsky saw a process whereby children could learn to solve novel problems “on the basis of a model he [sic] has been shown in class”, in this case the model is embodied in technological artefacts (although still provided by a ‘teacher’ through the creation of the artefact).

Within this perspective a Personal Learning Environment could be seen as allowing the representation of knowledge, skills and prior learning and a set of tools for interaction with peers to accomplish further tasks. The PLE would be dynamic in that it would allow reflection on those task and further assist in the representation of prior knowledge, skills and experiences. In this context experiences are seen as representing performance or practice. Through access to external symbol systems (Clark, 1997) such as metadata, ontologies and taxonomies the internal learning can be transformed into externalised knowledge and become part of the scaffolding for others as a representation of a MKO within a Zone of Proximal Development. Such an approach to the design of a Personal Learning Environment can bring together the everyday evolving uses of social networks and social media with pedagogic theories to learning.

References

Agostini, A., Albolino, S., Michelis, G. D., Paoli, F. D., & Dondi, R. (2003). Stimulating knowledge discovery and sharing. Paper presented at the 2003 International ACM SIGGROUP conference on Supporting group work, Sanibel Island, Florida, USA.

Attwell G. Barnes S.A., Bimrose J. and Brown A, (2008), Maturing Learning: Mashup Personal Learning Environments, CEUR Workshops proceedings, Aachen, Germany

Clark, Andy. Being There: Putting Brain, Body, and World Together Again. Cambridge, Massachusetts: A Bradford Book, The MIT Press, 1997.

Cole M. and Werstch J. (1996), Beyond the Individual-Social Antimony in Discussions of Piaget and Vygotsky. Michael Cole, University of California, San Diego

Conole G. (2008), New Schemas for Mapping Pedagogies and Technologies, Ariadne Issue 56 , http://www.ariadne.ac.uk/issue56/conole/

Dahms M, Geonnotti K, Passalacqua. D Schilk,N.J. Wetzel, A and Zulkowsky M The Educational Theory of Lev Vygotsky: an analysis http://www.newfoundations.com/GALLERY/Vygotsky.html

Engestrom J (2005) Why some social network services work and others don’t — Or: the case for object-centered sociality, http://www.zengestrom.com/blog/2005/04/why_some_social.html

Fischer, M. D. (1995). Using computers in ethnographic fieldwork. In R. M. Lee (Ed.), Information Technology for the Social Scientist (pp. 110-128). London: UCL Press

Fleer M and Pramling Samuelsson I, (2008), Play and Learning in Early Childhood Settings: International Perspectives, Springer

Hamilton R and Ghatala E, (1994) Learning and Instruction, New York: McGraw-Hill, 277.

Herrington, J., Reeves, T., and Oliver, R. (2005). Online learning as information delivery: Digital myopia. Journal of Interactive Learning Research, 16(4): 353-67.

Vygotsky L.(1978) Mind in society: The development of higher psychological processes. Cambridge, MA, Harvard University Press.

Wiley D. and Mott J. (2009), Open for learning: the CMS and the Open Learning Network, in education, issue 15 (2), http://www.ineducation.ca/article/open-learning-cms-and-open-learning-network

Wilson, S., Liber, O., Johnson, M., Beauvoir, P., Sharples, P., & Milligan, C. (2006). Personal learning environments challenging the dominant design of educational systems. Paper presented at the ECTEL Workshops 2006, Heraklion, Crete (1-4 October 2006).

Last year I took part in an excellent confernce in Darmstadt last year on “Interdisciplinary approaches to technology-enhanced learning.” Now they have asked me to contribute to a book based on my presentation on ‘Learning Environments, What happens in Practice?. I will post the book cpater in parts on the blog as I write it, in the hope of gaining feedback from readers.

The first section is entitled ‘The Challenge to Education”

Firstly it should be said that it is not technology per se that poses the challenge to education systems and institutions. It is rather the way technology is being used for communication and for everyday learning within the wider society.

Whilst institutions have largely maintained their monopoly and prestige as bodies awarding certification, one major impact of internet technologies has been to move access to learning and knowledge outside of institutional boundaries. The internet provides ready and usually free access to a wealth of books, papers, videos, blogs, scientific research, news and opinion. It also provides access to expertise in the form of networks of people. Conferences, seminars and workshops can increasingly be accessed online. Virtual worlds offer opportunities for simulations and experimentation.

Id course this begs the question of support for learning although there are increasing numbers of free online courses and communities and bulletin boards for help with problem solving. Schools and universities can no longer claim a monopoly as seats of learning or of knowledge. Such learning and knowledge now resides in distributed networks. Learning can take place in the home, in work or in the community as easily as within schools. Mobile devices also mean that learning can take place anywhere without access to a computer. Whilst previously learning was largely structured through a curriculum, context is now becoming an important aspect of learning.

Technology is also challenging traditional traditional expert contributed disciplinary knowledge as embodied in school curricula. Dave Cormier, (2008) says that the present speed of information based on new technologies has undermined traditional expert driven processes of knowledge development and dissemination. The explosion of freely available sources of information has helped drive rapid expansion in the accessibility of the canon and in the range of knowledge available to learners. We are being forced to re-examine what constitutes knowledge and are moving from expert developed and sanctioned knowledge to collaborative forms of knowledge construction. The English language Wikipedia website, a collaboratively developed knowledge base, had 3,264,557 pages in April, 2010 and over 12 million registered users.

The present north European schooling systems evolved from the needs of the industrial revolutions for a literate and numerate workforce. Schools were themselves modelled on the factory system with fixed starting and finishing times with standardised work tasks and quality systems. Students followed relatively rigid group learning programmes, often based on age and often banded into groups based on tests or examinations. Besides the acquisition of knowledge and skills needed by the economy, schools also acted as a means of selection, to determine those who might progress to higher levels of learning or employment requiring more complex skills and knowledge.

It is arguable whether such a schooling system meets the present day needs of the economy. In many countries there is publicly expressed concerns that schools are failing to deliver the skills and knowledge needed for employment, resorting in many countries in different reform measures. There is also a trend towards increasing the length of schooling and, in some countries, at attempting to increase the percentages of young people attending university.

However the schooling system has been developed above all on homogeneity. Indeed, in countries like the UK, reforms have attempted in increase that homogeneity through the imposition of a standardised national curriculum and regular Standardised Attainment Tests (SATs). Such a movement might be seen as in contradiction to the supposed needs for greater creativity, team work, problem solving, communication and self motivated continuous learning within enterprises today.

Furthermore, the homogeneity of schooling systems and curricula is in stark contrast to the wealth of different learning pathways available through the internet. Whilst the UK government has called for greater personalisation of learning, this is seen merely as different forms of access to a standardised curriculum. The internet offers the promise of Personal Learning Pathways, of personal and collaborative knowledge construction and meaning making through distributed communities.

The schooling system is based on outdated forms of organisation and on an expert derived and standardised canon of knowledge. As such it is increasingly dysfunctional in a society where knowledge is collaboratively developed through distributed networks.

I wrote a blog post earlier this week abut how much of our present training system is based on a deficit model – of looking at what skills and knowledge we think workers in particular occupation should have, at measuring what skills and knowledge they do have and then providing training to match the gap. I suggested this was an inefficient and reductionist approach, instead suggesting we should build from the skills an knowledge people have now to that which they could have with support for learning.

Today a call for tender dropped into my email box from the European Centre for  Vocational Education and Training (CEDEFOP). The tender is for data collection for skills obsolescence for older workers. And to my mind it illustrates just what we should not be doing. The tender says:

“Parallel and in close connection to its skill demand and skill supply activities, Cedefop is also analysing skill mismatch at various levels. To guide such analysis, five priorities for research have been identified. These priorities are: 1) improve measurement of skills and skill mismatch; 2) examine the persistence of skill mismatch and its impacts; 3) improve understanding of skill mismatch processes, its dynamics and the consequences of skill mismatch; 4) focus on skill mismatch for vulnerable groups on the labour market; and 5) improve data availability and use. The work carried out in the context of this tender and subsequent analysis by Cedefop aims to address aspects present in all research priorities simultaneously.

Attention among policy makers for skill obsolescence as an explanation for mismatch has increased significantly as a result of increasing changes in work and organisations. Cedefop (2009) concluded that from a lifelong learning policy perspective, the question of how and how fast skills become obsolete is crucial. However, this preoccupation has not been endorsed by current research, with most empirical studies dating back to the 1970’s and early 1980’s. Current research on skills obsolescence tends to focus on its impact on wages. Apart from some insights dating back to classical studies among engineers (for an overview, see Cedefop, 2009 and De Grip et al, 2002), little is known about how fast different types of skills become obsolete, how skill obsolescence interacts with training and skill development and how skills obsolescence processes work.”

The idea of matching the skills of individuals and the skills needed in an economy is a futile dream. Skills needs and usage are dynamic and constantly changing. Even more critical is that such approaches ignore the potential of skilled workers to shape production and work processes – and thus to develop innovation. The skills matching approach assumes a pseudo semi scientific, econometric formula for measuring skills. But lets look at the wording again. Much depends on how we interpret skills and I suspect this tender is very much based on a narrow Anglo Saxon understanding of skills and competences. But it is not the skills of the worker (or the worker themselves) who become obsolescent. rather it is that changing work processes and changing forms of production require new skills and knowledge – skills and knowledge that build on past learning. And older workers are often those with the experience to teach others – to be a Significantly Knowledgeable Other to use Vygotsky’s term.

A policy of innovation should be based on using to the full the skills and competences and workers and on developing workplaces to facilitate learning through meaningful work tasks – rather than using tools to measure how obsolescent older workers skills are.

Today is the last day for submissions to the Personal Learning Environments Conference being held in July in Barcelona. Here is my abstract for the conference, based on work Pontydysgu are developing through the EU funded Mature project. I will try to post a longer version in the next week or so.

Central to the idea of the Personal Learning Environment is it can assist learners in bringing together and reflecting on all their learning be it form formal education programmes, from work or from home. This would include both formal and informal learning.

According to Jay Cross, around 80 per cent of learning in work is informal. Yet much of the focus for work based learning is on courses, rather than practice. Apprenticeship systems usually combine learning in vocational schools with practice in the workplace but there are often problems in linking up theoretical school based learning with work based practice.

Researchers into organisational learning have focused on how workplaces can be designed to facilitate learning. Barry Nyhan (Nyhan et al, 2003) states “one of the keys to promoting learning organisations is to organise work in such a way that it is promotes human development. In other words it is about building workplace environments in which people are motivated to think for themselves so that through their everyday work experiences, they develop new competences and gain new understanding and insights.”

Yet without support for learning, organizational change may not be sufficient. Vygotsky (1978) has pointed to the importance of support from a More Knowledgable Other to support learning in a Zone of Proximal Development which which is the gap between the “actual developmental level” which a person can accomplish independently and the “potential developmental level” which person can accomplish when they are interacting with others who are more capable peers or adults.

The paper will report on work being undertaken through the EU IST programme to develop a Personal Learning & Maturing Environment (PLME), embedded into the working environment, enabling individuals to engage in maturing activities within the organisation and in wider communities of practice beyond organisational boundaries. The work centres on the design a ‘mini learning activities (Conole, 2008) utilising Technology Enhanced Learning to support learners in a Zone of Proximal Development. These activities will utilise multi media including infographics and Technology Enhanced Boundary Objects (Hoyles at al). Although the mediation of a MKO may be seen as being embodied within the technology, learners will also have access to support through an organisational people tagging service. The PLE applications will be available to learners both through desktop and mobile devices.

References

Barnes S.A., Bimrose J., Brown A., Hoyles C., de Hoyos M., Kent P., Magoulas G., Marris L., Noss R., Poulovassilis A. (undated) Workplace personalised learning environments for the development of employees’ technical communicative skills, Engineering and Physical Sciences Research Council

Conole G., Dyke M., Oliver M., Seale J (2004) Mapping pedagogy and tools for effective learning design, Computers & Education, Volume 43, Issues 1-2, August-September 2004, Pages 17-33 21st Century Learning: Selected Contributions from the CAL 03 Conference

Nyhan, B. Cressey, P. Tomassini, M. Kelleher, M., Poell, R. (2003). Facing up to the learning organisation challenge. Vol. I. Thessaloniki, CEDEFOP

Vygotsky L.(1978) Mind in society: The development of higher psychological processes. Cambridge, MA, Harvard University Press.

Last Friday I attended a seminar on e-learning 3.0at the British Library organised by Bryony Taylor, Senior Policy Advisor for Technology Enhanced Learning at Lifelong Learning UK. The ideas behind it were pretty neat – to bring together researchers, practitioners and policy makers from from higher education, further education, libraries and community learning to debate and identify the needs of the lifelong learning workforce in a rapidly changing world. And, fair play to the organisers, instead of the usual sit and listen policy events, there was opportunity for discussio0n and debate.

The symposium was chaired by David Melville, Chair of LLUK and Chair of the Committee of Inquiry into the Changing Learner Experiences (the report is well worth reading).

There were four short inputs (called ‘think pieces’). Laura Overton spoke on Towards Maturity – the changing nature of work place learning, Damien Kilkenny from Preston College spoke on the changing nature of learning in further education, Phil Bradley talked about the changing nature of learning in libraries and I spoke on the changing nature of learning in higher education.

The major aim of the seminar was to identify the key training needs of the education workforce and this is where things got interesting. The organisers had thought we could do this by identifying competences needed to cope with changing technology and by finding the gaps between the present skills of the workforce and future skill requirements. But, despite the diverse backgrounds of participants, almost all of us rejected this approach. The question was not one of competences or skills deficiencies we said, but rather to identify learning opportunities. And, one of the most important needs, we felt, was for staff to have time for learning.

Anyway here are the official outcomes as documented on the Learning 3.0 Ning web site.

“The group identified that the needs of learning professionals today are a mixture of skills, competencies, attitudes and behaviours. The main workforce needs identified included:

• A new mind-set – recognition of the need to change and willingness to change
• Flexibility and adaptability
• Resilience
• Digital life skills
• Mentoring and coaching skills
• Facilitation skills
• Ability to manage online identities/online presence
• Ability to self-evaluate new technologies for their use in teaching and training
• Curating online content made by others

What are the recommendations for addressing the workforce needs identified? Some of the recommendations of the group included:

• Showcase good practice from across the lifelong learning sector which highlights the benefits of using technology.
• Identify the barriers to effective use of technology and make recommendations as to how these can be overcome.
• Ensure all staff in the lifelong learning sector are given time to learn and develop as part of their job.
• Create a network of volunteer mentors and coaches for digital life skills in lifelong learning.
• Create a digital life skills framework for learning professionals which includes skills in:
  • Managing your organisation’s/department’s online presence
  • Managing online identities
  • E-portfolios
  • Safety and security online
  • Self-evaluation
• Identify how practitioner”

Short videos of the introductions and so0me of the discussions are also available on the web site. Here are excerpts from my presentation (note – the audio recording level is very low – you will need to turn up the volume).

Find more videos like this on Learning 3.0

Find more videos like this on Learning 3.0

Find more videos like this on Learning 3.0

Find more videos like this on Learning 3.0