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citation levels of articles that are published online versus those that are in closed access journals. Hajjem, Harnad and Gingras (2005) compared 1,307,038 articles across a range of disciplines and found that open access articles have a higher citation impact of between 36 and 172 per cent. So publishing in an online, open manner aids in the traditional measures of citation.

This section will look at the most concrete realisation of the open education movement, namely that of open education resources. In particular I want to revisit the notion of granularity and how changes in this, afforded by new technologies, are changing scholarly behaviour.

Zittrain (2008) terms ‘generativity’, which he defines as ‘a system's capacity to produce unanticipated change through unfiltered contributions from broad and varied audiences’. Little OERs are high in generativity because they can easily be used in different contexts, whereas the context is embedded within big OERs, which in turn means they are better at meeting a specific learning aim.

Big OER projects have a variety of models of funding, and Wiley highlights three of these demonstrating a range of centralisation: a centralised team funded by donors and grants (such as MIT), linking it into teaching responsibilities (as practised at Utah State University) and a decentralised collaborative authoring approach (e.g. Rice Connexions, http://cnx.org).

The reasons for this are varied, including technical complexity and motivation. One other reason which the OpenLearn team suggest is that the ‘content provided on the site was of high quality and so discouraged alteration’.

Based on the success of Norvig and Thrun’s experiment, the university’s computer science department is planning to broadcast eight additional courses for free in the spring, most focusing on high-level concepts that require participants already to have a pretty good command of math and science.

It raises the question: Whose certification matters, for what purposes?

For one, the professors can only evaluate non-enrolled students via assessments that can be graded automatically.

it can be difficult to assess skills without being able to administer project-based assignments

With a player like Stanford doing something like this, they’re bringing attention to the possibilities of the Web for expanding open education

Blogs are also the epitome of the type of technology that can lead to rapid innovation. They can be free to set up, are easy to use and because they are at the user's control, they represent a liberated form for expression. There is no word limit or publication schedule for a blog

‘Scholarship’ is itself a rather old-fashioned term.

How do we recognise quality?

Prior to the Internet, but particularly prior to social networks, this kind of network was limited to those with whom you interacted regularly.

the advent of social networks that is having an influence on scholarly practice.

Should bloggers use institutional systems or separate out their blogging and formal identities?

Dunbar's (1992) research on friends and group size suggests that it has a capacity of around 150. It necessitates keeping in touch with a lot of people, often reinforcing that contact with physical interaction.

for those who have taken the step to establishing an online identity, these networks are undoubtedly of significant value in their everyday practice.

openness

Tim O'Reilly (2004) calls ‘an architecture of participation’, an infrastructure and set of tools that allow anyone to contribute.

It is this democratisation and removal of previous filters that has characterised the tools which have formed the second wave of web popularity, such as YouTube, Wikipedia, Flickr, blogs, Facebook and Twitter.

Openness then refers not only to the technology but also to the practice of sharing content as a default.

Fast – technology that is easy to learn and quick to set up. The academic does not need to attend a training course to use it or submit a request to their central IT services to set it up. This means they can experiment quickly.

Cheap – tools that are usually free or at least have a freemium model so the individual can fund any extension themselves. This means that it is not necessary to gain authorisation to use them from a budget holder. It also means the user doesn't need to be concerned about the size of audience or return on investment, which is liberating.

Out of control – these technologies are outside of formal institutional control structures, so they have a more personal element and are more flexible. They are also democratised tools, so the control of them is as much in the hands of students as it is that of the educator.

Overall, this tends to encourage experimentation and innovation in terms of both what people produce for content services and the uses they put technology to in education.

‘the good enough revolution’

This reflects a move away from expensive, sophisticated software and hardware to using tools which are easy to use, lightweight and which tie in with the digital, networked, open culture.

there seems to be such an anxiety about being labelled a ‘technological determinist’ that many people in education seek to deny the significance of technology in any discussion. ‘Technology isn't important’, ‘pedagogy comes first’, ‘we should be talking about learning, not the technology’ are all common refrains in conferences and workshops.

While there is undoubtedly some truth in these, the suggestion that technology isn't playing a significant role in how people are communicating, working, constructing knowledge and socialising is to ignore a major influencing factor in a complex equation.

entirely unpredicted, what is often termed ‘emergent use’, which arises from a community taking a system and using it for purposes the creators never envisaged.

Brown (2009) reports, Recently, the Nielsen Norman Group study of teenagers using the web noted: ‘We measured a success rate of only 55 percent for the teenage users in this study, which is substantially lower than the 66 percent success rate we found for adult users’. The report added: ‘Teens’ poor performance is caused by three factors: insufficient reading skills, less sophisticated research strategies, and a dramatically lower patience level’.

A new generation is behaving fundamentally differently – there seems little real evidence beyond the rhetoric that the net generation is in some way different from its predecessors as a result of having been exposed to digital technologies. There is some moderate evidence that they may have different attitudes. There is a general change in society which has relevance for learning – certainly the overall context is an ICT-rich one, and people are using the Internet for a variety of learning-related activities. People are learning in different ways – although firm evidence of informal learning is difficult to gather, there is much by the way of proxy activity that indicates this is the case. There is growing dissatisfaction with current practice in higher education – there seems little strong evidence for this. Probably more significant to the culture of education has been the shift to perceiving the student as a customer. There is certainly little evidence that the dissatisfaction is greater than it used to be, but what may be significant is that there are now viable alternatives for learners. Universities have lost their monopoly on learning, which reinforces the next point.

Higher education will undergo similar change to that in other sectors – there are some similarities between higher education and other sectors, such as the newspaper and music industries, but the differences are probably more significant. However, the blurring of boundaries between sectors and the viability of self-directed, community-based learning means that the competition is now more complex.

The first is that there is lag between society's acceptance of a technology and then its adoption in higher education. Brown (2009) suggests that in society the stages of technology diffusion can be defined as critical mass (ownership by 20–30 per cent of the population), ubiquity (30–70 per cent) and finally invisibility (more than 70 per cent). If higher education were to wait for the invisibility stage to be reached before it engaged with a technology, then given the time it takes to implement policies and technology, it really will look outdated. For example, in 2007, those using social networks might have been in the minority; now they will be in the majority. This is the problem with waiting for data to determine decisions – if you made a decision based on 2007 data that social networks were largely unused, it would look out of date in 2010. What is significant is the direction of travel, not the absolute percentages at any given time.

As neuroscientist Joshua Greene puts it, ‘the Internet hasn't changed the way we think anymore than the microwave oven has changed the way we digest food. The Internet has provided us with unprecedented access to information, but it hasn't changed what we do with it once it's made it into our heads’ (Gerschenfeld 2010).

Whether there are social and behavioural impacts of operating online is a serious question, however. Just as the television had serious social impacts, we must accept that computers and Internet will also have consequences. These will undoubtedly be a mixture of positive and negative, but I would argue that using pseudo-scientific explanations to back up prejudices will not help us address these issues.

For educators there are two main issues; the first is the extent to which they help students manage their online identity, and the second is how they manage their own boundary between personal and professional life.

The over-adoption of tools can lead to what has been termed ‘creepy tree house’ syndrome (Stein 2008) when authority is seen to try and invade a young person's social space.

There is strong resistance from students to universities and lecturers making formal use of social networks as this is seen as an invasion of their social space (e.g. Madge 2009).

For the teaching function of scholarship then the question is ‘How can educators utilise the potential of these tools without destroying what makes them valuable to students?’

I would suggest the following as the most challenging for digital scholarship: Moving beyond the superficial – many successful Web 2.0 services essentially allow a very simple function, for example, sharing a photograph. Can we use the same techniques for deeper, more difficult tasks?

Understanding quality – this is not just about maintaining current quality, as this may not be appropriate in many forms, but appreciating when different levels of quality can be used.

Managing online identity – there is a tension for scholars and their students in gaining the benefits of a social network, which thrives on personal interactions, while not compromising professional identity.

Ownership of scholarly functions – there is also a dilemma regarding how much of scholarly discourse and activity we give over to cloud computing services and whether the benefits in terms of widespread use and (often) superior tools outweigh the potential risks.

Any pedagogy of abundance would then, I suggest, be based on the following assumptions:

Jonassen (1991) describes it thus: Constructivism … claims that reality is constructed by the knower based upon mental activity. Humans are perceivers and interpreters who construct their own reality through engaging in those mental activities … What the mind produces are mental models that explain to the knower what he or she has perceived … We all conceive of the external reality somewhat differently, based on our unique set of experiences with the world.

Given that it has a loose definition, it is hard to pin down a constructivist approach exactly. Mayer (2004) suggests that such discovery-based approaches are less effective than guided ones, arguing that the ‘debate about discovery has been replayed many times in education but each time, the evidence has favoured a guided approach to learning’.

When Kirschner, Sweller and Clark (2006) claim, with some justification, that ‘the epistemology of a discipline should not be confused with a pedagogy for teaching/learning it’ that only highlights that the epistemology of a discipline is now being constructed by all, so learning how to participate in this is as significant as learning the subject matter of the discipline itself.

However, the number of successful open source communities is relatively small compared with the number of unsuccessful ones, and thus the rather tenuous success factors for generating and sustaining an effective community may prove to be a barrier across all subject areas. Where they thrive, however, it offers a significant model which higher education can learn much from in terms of motivation and retention (Meiszner 2010).

Abundance does not apply to all aspects of learning; indeed the opposite may be true, for example, an individual's attention is not abundant and is time limited. The abundance of content puts increasing pressure on this scarce resource, and so finding effective ways of dealing with this may be the key element in any pedagogy. However, I would contend that the abundance of content and connections is as fundamental shift in education as any we are likely to encounter, and there has, to date, been little attempt to really place this at the centre of a model of teaching.

In this chapter I have argued that we can view higher education as a long-tail content production environment. Much of what we currently aim to achieve through specific public engagement projects can be realised by producing digital artefacts as a by-product of typical scholarly activity. My intention is not to suggest that this is the only means of performing public engagement; for example, engaging with local schools works well by providing face-to-face contact with inspiring figures. As with other scholarly functions, some will remain, but the digital alternative not only allows for new ways of realising the same goals but also opens up new possibilities.

So what does engagement with technology mean? First, I would suggest, it acknowledges that the changes afforded by new technology are not peripheral but fundamental to all aspects of scholarship.

In his 1973 paper on the stability of ecological systems, Holling defined resilience as ‘a measure of the persistence of systems and of their ability to absorb change and disturbance and still maintain the same relationships between populations or state variables’.

Hall and Winn (2010) have applied the concept of resilience to education and open education in particular.

It is undoubtedly the case that the vast amount of online content means that people now conduct a lot of their learning informally, using free resources. Combined with financial pressures, this creates a pressure or an alternative competition for learning that is new to higher education.