Open Learning Analytics or Architectures for Open Curricula?

George Siemen’s latest post, based on his talk at TEDxEdmonton, makes for interesting reading.

George says:

Classrooms were a wonderful technological invention. They enabled learning to scale so that education was not only the domain of society’s elites. Classrooms made it (economically) possible to educate all citizens. And it is a model that worked quite well.

(Un)fortunately things change. Technological advancement, coupled with rapid growth of information, global connectedness, and new opportunities for people to self-organized without a mediating organization, reveals the fatal flaw of classrooms: slow-developing knowledge can be captured and rendered as curriculum, then be taught, and then be assessed. Things breakdown when knowledge growth is explosive. Rapidly developing knowledge and context requires equally adaptive knowledge institutions. Today’s educational institutions serve a context that no longer exists and its (the institution’s) legacy is restricting innovation.

George calls for the development of an open learning analytics architecture based on the idea that: “Knowing how schools and universities are spinning the dials and levers of content and learning – an activity that ripples decades into the future – is an ethical and more imperative for educators, parents, and students.”

I am not opposed to what he is saying, although I note Frances Bell’s comment about privacy of personal data. But I am unsure that such an architecture really would improve teaching and learning – and especially learning.

As George himself notes, the driving force behind the changes in teaching and learning that we are seeing today is the access afforded by new technology to learning outside the institution. Such access has largely rendered irrelevant the old distinctions between formal, non formal and informal learning. OK – there is still an issue in that accreditation is largely controlled by institutions who naturally place much emphasis on learning which takes place within their (controlled and sanctioned) domain. yet even this is being challenged by developments such as Mozilla’s Open Badges project.

Educational technology has played only a limited role in extending learning. In reality we have provided access to educational technology to those already within the system. But the adoption of social and business software for learning – as recognised in the idea of the Personal Learning Environment – and the similar adaption of these technologies for teaching and learning through Massive Open Online Courses (MOOCs) – have moved us beyond the practice of merely replicating traditional classroom architectures and processes in technology.

However there remain a series of problematic issues. Perhaps foremost is the failure to develop open curricula – or, better put, to rethink the role of curricula for self-organized learning.

For better or worse, curricula traditionally played a role in scaffolding learning – guiding learners through a series of activities to develop skills and knowledge. These activities were graded, building on previously acquired knowledge in developing a personal knowledge base which could link constituent parts, determining how the parts relate to one another and to an overall structure or purpose.

As Peter Pappas points out in his blog on ‘A Taxonomy of Reflection’, this in turn allows the development of what Bloom calls ‘Higher Order Reflection’ – enabling learners to combine or reorganize elements into a new pattern or structure.

Vygostsky recognised the importance of a ‘More Knowledgeable Other’ in supporting reflection in learning through a Zone of Peripheral Development. Such an idea is reflected in the development of Personal Learning Networks, often utilising social software.

Yet the curricula issue remains – and especially the issue of how we combine and reorganise elements of learning into new patterns and structure without the support of formal curricula. This is the more so since traditional subject boundaries are breaking down. Present technology support for this process is very limited. Traditional hierarchical folder structures have been supplemented by keywords and with some effort learners may be able to develop their own taxonomies based on metadata. But the process remains difficult.

So – if we are to go down the path of developing new open architectures – my priority would be for an open architecture of curricula. Such a curricula would play a dual role in supporting self organised learning for individuals but also at the same time supporting emergent rhizomatic curricula at a social level.

 

Reflections on Personal Learning Environments


I got a great email from Rui Páscoa & Sérgio Lagoa, Masters students at the Open University in Portugal. One of their teachers, they say, Professor José Mota, “asked us to interview someone who is a reference in online teaching and, based on thisinterview, write a 2000-word paper as one of the compulsory activities for the subject ‘Elearning Pedagogical Processes’.”

They sent me the questions and rather than write a long text I agreed to reply by video. The questions – see below – are excellent – in focusing on the key issues around Personal Learning Environments. I struggled with some of my answers – it would be great if anyone else could add their ideas by video or in the reply box to this blog entry.

Questions:

  1. What is the pedagogical model you follow as an online teacher and why?
  2. You have been developing some serious thinking on PLEs. How important are they in the learning process?
  3. Do you advise your students to follow a specific  “model” or do you give them full freedom in building their PLE?
  4. Ever since the concept of PLE appeared there have been several discussions about this issue and the concept itself has been evolving. In what way has the PLE interfered in the change of elearning pedagogical models? Or is the PLE merely “a tool” that you can use and take some benefit from in the already existing practices, without real influence in changing them?
  5. Many Universities and Colleges offering online courses tend to adopt pedagogical models quite close to traditional teaching and learning, centred on transmitting contents in closed environments (LMS/VLE) controlled by the institution. How shall we overcome this traditional approach and persuade the universities to change their practices?
  6. Elearning is becoming more and more relevant, both in formal and informal education, and it is seen as essential in lifelong learning processes. How do you see the future of elearning, bearing in mind the technological development and the social and economical changes that will come along with the evolution of society?

Training and learning

This time of the year things are supposed to be quiet. Christmas parties and that kind of stuff. However at Pontydysgu its not like that this year – though a dare say we may stop for the odd mince pie and glass of mulled wine in the next few days.

We have been completing project reports and writing new proposals. And I have been traveling for the last five weeks. So there is plenty to update on this blog.

The week before last I was in Bucharest for the final conference of the PREZENT! project – aiming to increase participation in continuing training for those at risk in the labour market. The project has taken a series of actions over providing access information, and awareness about opportunities for continuing and lifelong learning in Romania.

And it turned out to be a very inter sting event. The conference organisers had produced a draft strategy on training in Romania and used the event for consultation prior to submitting the strategy to the education ministry. Although I was struggling to follow the debate (my Romanian being non existent) the strategy certainly seemed to have sparked off a considerable discussion.

Yet many of the issues were hardly new, or indeed unique to Romania. Delegates were concerned about business models and how training should be financed. Indeed, there seemed to be much support for the idea of a training levy on enterprises. Delegates were concerned about the quality and regulation of training. And delegates were concerned about professional development for training and particularly over the use of technology for training.

Personally I felt they were over optimistic about the potential impact of legislative change or even at getting legislation right. However this might reflect different cultures and certainly in the past there has been some evidence that Romanian governments have taken more interest in training than the UK (although that is not difficult!).

My contribution to the conference was mostly based on the use of technology to support informal learning. And although everyone was very polite and said how much they had enjoyed the presentation I am not sure they got it. Learning remains inextricably bound to formal training programmes usually linked to classroom or workshop delivery. Whilst there might be acknowledgement of the importance of informal learning it goes no further than that.

Possibly it is because trainers see no role for themselves in informal learning. however I have long held that informal learning does not happen by accident. Informal learning depends on rich learning environments be they in school or in the workplace. And informal learning depends on the ability to use that learning in work or in everyday life. For many their job does not provide either that richness in activities or in learning environment. For many the workplace is just a source of drudgery. And this could be the vital role trainers could take – in designing and developing rich learning environments. But I think for that we would require new ways of recognising learning based on learning processes rather than merely accrediting outcomes. And whilst education and training remains dominated by a discourse around competences that doesn’t seem likely to happen.

Work Process Knowledge, Developmental Competence and rhizomatic knowledge

A number of years ago I did a couple of studies, funded by the European Commission on the use of technology for learning in Small and Medium Enterprises (SMEs). SMEs are defined by the European Commission as those employing less than 350 employees. My overall conclusions were that whilst few enterprises were using Virtual Learning Environments or indeed any other formal e-learning platforms or technologies for learning this did not mean that learning was not happening. Instead many employees used computers everyday for informal learning. Learning was motivated by the need to solve problems in the workplace or surprisingly often by curiosity and interest.

The technologies employed varied but they included Google, Bulletin Boards and email. Ask-a-friend was a common pedagogic strategy.

Now several years on, the European Commission’s Research Programme on information technologies has launched another call for projects designed to crack the perceived issue of the lack of use of Technology Enhanced Learning in SMEs.

And they still haven’t got it. They seem to have an assumption that there are hard to reach sectors or that the technology just isn’t good enough. Or, often is cited, the lack of access to hardware and connectivity.

Of course, since I did my orginal study, there has been considerable changes in technology. The biggest is probably the widespread use of mobiles, (handys, GSM, cells), many of them internet enabled.

But talking to employers this week I don’t see many changes in how the internet is being used for learning. There is one big change though. The employers I have spoken to are aware that computers can facilitate learning and knowledge exchange and support those processes. Back before few employers even knew their employees were involved in learning (mind, many of the employees also didn’t call it learning!).

but the learning processes remain informal. Human communication is most valued, albeit technology mediated. There remains little take up of formal e-learning programmes.

There does seem to be an increasing awareness of the need to link learning and information and knowledge management processes. There is also intense interest in the ability of new technologies to be utlisied at or near the work process and to support the development of what I call work process knowledge or developmental competence.

The concept of Work Process Knowledge emphasises the relevance of practice in the workplace and is related to concepts of competence and qualification that stress the idea that learning processes not only include cognitive, but also affective, personal and social factors. They include the relevance of such non-cognitive and affective-social factors for the acquisition and use of work process knowledge in practical action. Work often takes place, and is carried out, in different circumstances and contexts. Therefore, it is necessary for the individual to acquire and demonstrate a certain capacity to reflect and act on the task (system) and the wider work environment in order to adapt, act and shape it. Such competence is captured in the notion of “developmental competence” (Ellstroem PE, 1997) and includes ‘the idea of social shaping of work and technology as a principle of vocational education and training’ (Heidegger, G., Rauner F., 1997). Work process knowledge embraces ‘developmental competence’, the developmental perspective emphasising that individuals have the capacity to reflect and act upon the environment and thereby forming or shaping it. In using technologies to develop such work process knowledge, individuals are also shaping or appropriating technologies, often developed or designed for different purposes, for social learning.

it seems to me that if we really want to introduce Technology Enhanced Learning in the workplace (and especially in SMEs) we have to find ways of supporting the development of work process knowledge and developmental competence. The problem is that most formal elearning programmes are tied to very traditional notions of competences, which are often only loosely connected to practice. This is one of the reasons I like the idea of rhizomatic knowledge, as put forward by Dave Cormier and currently being discussed on the #Change11 MOOC. Rhizomatic knowledge in the sense of work process knowledge is  generated by practice in communities and technology can be used to scaffold the development of developmental competence through practice (incidentally I think this overcomes many of the objections to the idea of rhizomatic knowledge as discussed on Dave’s blog).

Has Open and Linked Data failed?

I am intrigued by this presentation. Whilst I appreciate what Chris Taggart, who has been invo0lved in the development of the opencorporates and openlylocal data sites (and who undoubtedly has more experience and knowledge than me of the use of Open and Linked Data) I would be less pessimistic. I see the use of open and linked data as in very early days.

Firstly, although I appreciate that politicians and bureaucrats do not always want to release data – I think there is still a groundswell in favour of making data available – at least in Europe. Witness yesterdays unveiling of the Italian Open data store (sorry, I can’t find the url at the moment). And although Google search results do not help promote open data sites (and I am not a great fan of Google at the moment after they wiped out my account ten days again), they have contributed very useful tools such as Refine, Fusion Tables and Public Data Explorer.

I still think that as Chris Taggart says in one of his first slides the biggest challenge is relevance. And here I wonder if one of the problems is that Open and Linked Data specialists are just that – specialist developers in their own field. Many of the applications released so far on the UK Data store, whilst admiral examples of the art of development – would seem to have little practical use.

Maybe it is only when the tools and knowledge of how to work with Open and Linked data are adopted by developers and others in wonder social and subject areas that the true benefits will begin to show. Open data applications may work best, not through dedicated apps or sites, but when incorporated in other web sites which provide them with context and relevance. Thus we have been working with the use of open and linked data for careers guidance (see our new web site, www.careerstalk.org which includes working demonstrations).

Bu even more important may be finding ways of combining Open and Linked data with other forms of (human) knowledge and intelligence. It is just this form of knowledge – for instance the experiences and informal knowledge of careers guidance professionals, which brings relevance and context to the data from official data sets. And that provides a new design challenge.