Context and the design of Personal Learning Environments

Part two of my new paper on Personal Learning environments, focusing on context, and written for the PLE2010 conference in Barcelona next week.

How can the idea of context help us in designing work based Personal Learning Environments? First, given the varied definitions, it might be apposite to explain what we mean by a PLE. 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. In terms of technology, 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.

As such, PLEs offer some solutions to the issue of the fluid and relational nature of context. PLEs, unlike traditional educational technology are mobile, flexible and not context dependent. They can move from one domain to another and make connections between them. Secondly PLEs can support and facilitate a greater variety of relationships than traditional educational media. These include relationships within and between networks and communities of practice and support for collaborative working. PLEs shift the axis of control from the teacher to the learners and thus alter balance of power within learning discourses. And, perhaps critically, PLEs support a greater range of learning discourses than traditional educational technology.

PLEs are able to link knowledge assets with people, communities and informal knowledge (Agostini et al, 2003) and support the development of social networks for learning (Fischer, 1995). Razavi and Iverson (2006) suggest integrating weblogs, ePortfolios, and social networking functionality both for enhanced e-learning and knowledge management, and for developing communities of practice. 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.

So far we have stressed the utility of PLEs in being flexible and adaptable to different contexts. In a work based context, the ‘Learning in Process’ project (Schmidt, 2005) and the APOSDLE project (Lindstaedt, and Mayer, 2006) have attempted to develop embedded, or work-integrated, learning support where learning opportunities (learning objects, documents, checklists and also colleagues) are recommended based on a virtual understanding of the learner’s context.

However, while these development activities acknowledge the importance of collaboration, community engagement and of embedding learning into working and living processes, they have not so far addressed the linkage of individual learning processes and the further development of both individual and collective understanding as the knowledge and learning processes (Attwell. Barnes, Bimrose and Brown, 2008). In order to achieve that transition (to what we term a ‘community of innovation’), processes of reflection and formative assessment have a critical role to play.

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 scoping of knowledge development needs, an initial 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.

People tagging

However, rather than seeking to build a monolithic application which can meet all these needs, a better approach may be to seek to develop tools and services which can meet learning needs related to particular aspects of such needs. And in developing such a tool, it is useful to reflect on the different aspects of context involved in the potential use of such tools.  The European Commission supported Mature project is seeking to research and develop Personal Learning and Maturing Environments and Organisation Learning and Maturing Environments to support knowledge development and ‘maturing’ in organisations. The project has developed a number of use cases and demonstrators, following a participatory design process and aiming at supporting learning in context for careers guidance advisors.

One such demonstrator is a ‘people tagging’ application (Braun, Kunzmann and Schmidt, 2010). According to the project report “Knowing-who is an essential element for efficient knowledge maturing processes, e.g. for finding the right person to talk to. Take the scenario of where a novice Personal Adviser (P.A.) needs to respond to a client query. The P.A. does not feel sufficiently confident to respond adequately, so needs to contact a colleague who is more knowledgeable, for support. The key problems would be:

  • How does the P.A. find the right person to contact
  • How can the P.A. find people inside, and even outside, the employing organisation?
  • How can colleagues who might be able to support the P.A. be identified and contacted quickly and efficiently?

Typically, employee directories, which simply list staff and their areas of expertise, are insufficient. One reason is that information contained in the directories is outdated; or it is not described in an appropriate manner; or it focuses too much on ‘experts’; and they often do not include external contacts (Schmidt & Kunzmann 2007).

Also Human Resource Development needs to have sufficient information about the needs and current capabilities of current employees to make the right decisions. In service delivery contexts that must be responsive to the changing needs of clients, like Connexions services, it is necessary to establish precisely what additional skills and competencies are required to keep up with new developments. The people tagging tool would provide a clear indication of:

  • What type of expertise is needed?
  • How much of the requisite expertise already exists within the organisation?”

At a technical level the demonstrator includes:

  • A bookmarking widget for annotating persons, which can be invoked as a bookmarklet
  • A browsing component for navigating annotated people based on the vocabulary
  • An employee list and profile visualization of annotated people
  • A search component for searching for people
  • A collaborative real-time editor of the shared vocabulary that allows for consolidating tags and introducing hierarchical relationships
  • An analysis component for displaying trends based on search and tagging behaviour.

The application seeks to meet the challenge of aligning the maturing of ontological knowledge with the development of the knowledge about people in the organization (and possibly beyond).

Early evaluation results suggest that people tagging is accepted by employees in general, and that they view it as beneficial on average. The evaluation “has also revealed that we have to be careful when designing such a people tagging system and need to consider affective barriers, the organizational context, and other motivational aspects so that it can become successful and sustainable. Therefore we need to develop a design framework (and respective technical enablement) for people tagging systems as socio-technical systems that covers aspects like control, transparency, scope etc. This design framework needs to be backed by a flexible implementation.”

Technology Enhanced Boundary Objects

A further approach to supporting Personal Learning environments for careers guidance professional is based on the development of Technology Enhanced Boundary Objects (TEBOs). Mazzoni and Gaffuri (2009) consider that PLEs as such may be seen as boundary objects in acting to support transitions within a Zone of Proximal Development between knowledge acquired in formal educational contexts and knowledge required for performance or practice within the workplace. Alan Brown (2009) refers to an approach to designing technologically enhanced boundary objects that promote boundary crossing for careers practitioners.

Careers practitioners use labour market information in their practice of advising clients about potential career options. Much of this labour Markey information is gathered from official statistics, providing, for example, details of numbers employed in different professionals at varying degree of granularity, job centre vacancies in time series data at a fine granular level and pay levels in different occupations at a regional level, as well as information about education and training routes, job descriptions and future career predictions. However much of this data is produced as part of the various governmental departments statistical services and is difficult to search for and above all to interpret. Most problematic is the issue of meaning making when related to providing careers advice, information and guidance. The data sits in the boundaries of practice of careers workers and equally at the ordinary of the practice of collating and providing data. Our intention is to develop technology enhanced boundary objects as a series of infographs, dynamic graphical displays, visualisations and simulations to scaffold careers guidance workers in the process of meaning making of such data.

Whilst we are presently working with static data, much of the data is now being provided online with an API to a SPARQL query interface, allowing interrogation of live data. This is part of the open data initiative, led by Nick Shabolt and Tim Berners Lee in the UK. Berners Lee (2010) has recently said that linked data lies at the heart of the semantic web. Our aim is to connect the TEBO to live data through the SPARQL interface and to visualise and represent that data in forms which would allow careers guidance workers and clients to make intelligent meaning of that data in terms of the shared practice of providing and acting on guidance. Such a TEBO could form a key element in a Personal Learning environment for careers guidance practitioners. A further step in exploring PLE services and applications would be to link the TEBO to people tagging services allowing careers practitioners to find those with particular expertise and experience in interpreting labour market data and relating this to careers opportunities at a local level.

There has been considerable interest in the potential of Mash Up Personal Learning Environments (Wild, Mödritscher and Sigurdarson, 2008). as a means of providing flexible access to different tools. Other commentators have focused on the use of social software for learners to develop their own PLEs. Our research into PLEs and knowledge maturing in organisations does not contradict either of these approaches. However, it suggests that PLE tools need to take into account the contexts in which learning takes place, including knowledge assets, people and communities and especially the context of practice. In reality a PLE may be comprised of both general communication and knowledge sharing tools as well as specialist tools designed to meet the particular needs of a community.

Conclusions

In seeking to design a work based PLE it is necessary to understand the contexts in which learning take place and the different discourses associated with that learning. A PLE is both able to transpose the different contexts in which learning takes place and can move from one domain to another and make connections between them. support and facilitate a greater variety of relationships than traditional educational media. At them same time a PLE is able to support a range of learning discourses including discourses taking place within and between different communities if practice. An understanding of the contexts in which learning takes place and of those different learning discourses provides that basis for designing key tools which can form the centre of a work based PLE. Above all a PLE can respond to the demands of fluid and relational discourses in providing scaffolding for meaning making related to practice.

References

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

Berners Lee T. (2010) Open Linked Data for a Global Community, presentation at Gov 2.0 Expo 2010, http://www.youtube.com/watch?v=ga1aSJXCFe0&feature=player_embedded, accessed June 25, 2010

Braun S. Kunzmann C. Schmidt A. (2010) People Tagging & Ontology Maturing: Towards Collaborative Competence Management, In: David Randall and Pascal Salembier (eds.): From CSCW to Web2.0: European Developments in Collaborative Design Selected Papers from COOP08, Computer Supported Cooperative Work Springer,

Brown A. (2009) Boundary crossing and boundary objects – ‘Technologically Enhanced Boundary Objects’. Unpublished paper for the Mature IP Project

Lindstaedt, S., & Mayer, H. (2006). A storyboard of the APOSDLE vision. Paper presented at the 1st European Conference on Technology Enhanced Learning, Crete (1-4 October 2006)

Mazzoni E. and Gaffuri P .(2009) Personal Learning environments for Overcoming Knowledge Boundaries between activity Systems in emerging adulthood, eLearning papers, http://www.elearningpapers.eu/index.php?page=doc&doc_id=14400&doclng=6&vol=15, accessed December 26, 2009

Schmidt A., Kunzmann C. (2007) Sustainable Competency-Oriented Human Resource Development with Ontology-Based Competency Catalogs, In: Miriam Cunningham and Paul Cunningham (eds.): eChallenges 2007, 2007, http://publications.professional-learning.eu/schmidt_kunzmann_sustainable-competence-management_eChallenges07.pdf, accessed 27 June, 2010

Schmidt, A. (2005) Knowledge Maturing and the Continuity of Context as a Unifying Concept for Integrating Knowledge Management and ELearning. In: Proceedings I-KNOW ’05, Graz, 2005.

Wild, F., Mödritscher, F., & Sigurdarson, S. (2008). Designing for Change: Mash-Up Personal Learning Environments. elearning papers, 9. 1-15. Retrieved from http://www.elearningeuropa.info/out/?doc_id=15055&rsr_id=15972

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

The PLE unKeynote

I have been paired together with Alec Couros as co-keynotes at the PLE Conference in Barcelona, Spain, July 8-9. The organizers have recently asked us to do something different than a typical keynote, so we have been thinking about an unKeynote format. In keeping with the theme of the conference (PLEs), we’re hoping that individuals in our network would be willing to help us frame what this might look like. We would like you to write your ideas in the shared Google document. We will review all your ideas, come up with a format and then once more invite your inputs.

The document is open and can be accessed by clicking this link.

Critical Literacies, Pragmatics and Education

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.

Working, learning and playing in Personal Learning Environments

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.

How we use technology and the Internet for learning

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.