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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.

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

However as education in the developed world moves in new directions, we must be cognizant of how this move impacts the learners in the developing world. How will learners in these areas access, explore and contribute to the creation of knowledge? Will social networking technologies, and the emergence of next generation technologies further exclude the greatest number of undergraduate learners. Will this new reality result in too few voices connecting and validating knowledge? How can non-Eurocentric voices be heard? One must ensure that there is some democracy in this new model.

Educators and leaders in academia are confronted with important questions. How should institutions of learning be designed to serve the needs participative, social, and global information cycle? What assumptions about the system of higher education need to be abandoned due to technological advancements? How can the vital roles of research and teaching and learning be addressed through distributed means? How can accreditation be broadened to include the full spectrum of formal and informal learning activities?

Failure to recognize the pivotal role of digital technologies will result in institutions at odds with the world in which they operate.

The American Faculty: The Restructuring of Academic Work and Careers (Schuster & Finkelstein, 2006) propose that universities are experiencing a revolution—with tremendous consequences. They write, Everything is in play, as nearly every aspect of academic life is being driven by a host of inter-related developments: dazzling technological advances, globalization that permeates academic boundaries, rapid increase of tertiary students worldwide, expansion of proprietary higher education, a blurring of (the) public/private distinction, and entrepreneurial initiatives on and off campus. (p. xvii)

Technological innovations in bandwidth, storage, processing speed, and software directly impact education (Downes, 2009), creating new opportunities for learner-learner/educator and learner-information interactions.

ome researchers have turned to complexity theory to advance education, suggesting that emphasis be placed on the whole system rather than reductionist views often found in "mainstream science" (Mason, 2008). Increased collaboration in a model of "interlocking partnerships among researchers, among universities, and across international borders” (McFadden Allen, 2007, p. 3) promises a new model of not only what it means to be an academic, but also what it means to be an academic institution.