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1.1.1 The digital age

In a digital age, we are surrounded, indeed, immersed, in technology. Furthermore, the rate of technological change shows no sign of slowing down. Technology is leading to massive changes in the economy, in the way we communicate and relate to each other, and increasingly in the way we learn. Yet our educational institutions were built largely for another age, based around an industrial rather than a digital era.

Thus teachers and instructors are faced with a massive challenge of change. How can we ensure that we are developing the kinds of graduates from our courses and programs that are fit for an increasingly volatile, uncertain, complex and ambiguous future? What should we continue to protect in our teaching methods (and institutions), and what needs to change?

To answer these questions, this book:

• discusses the main changes that are leading to a re-examination of teaching and learning;
• identifies different understandings of knowledge and the different teaching methods associated with these understandings;
• analyzes the key characteristics of technologies with regard to teaching and learning;
• recommends strategies for choosing between media and technologies;
• recommends strategies for high quality teaching in a digital age.

In this chapter I set out some of the main developments that are forcing a reconsideration of how we should be teaching.

1.1.2 The changing nature of work

Of the many challenges that institutions face, one is in essence a good one, and that is increased demand, particularly for post-secondary education. Figure 1.1.2 below represents the extent to which knowledge has become an increasingly important element of economic development, and above all in job creation.

The figure is symbolic rather than literal. The pale blue circles representing the whole work force in each employment sector may be larger or smaller, depending on the country, as too will be the proportion of knowledge workers in that industry, but at least in developed countries and also increasingly in economically emerging countries, the knowledge component is growing rapidly: more brains and less brawn are required (see OECD, 2013a). Economically, competitive advantage goes increasingly to those companies and industries that can leverage gains in knowledge (OECD, 2013b). Indeed, knowledge workers often create their own jobs, starting up companies to provide new services or products that did not exist before they graduated.

From a teaching perspective the biggest impact is likely to be on technical and vocational instructors and students, where the knowledge component of formerly mainly manual skills is expanding rapidly. Particularly in the trades areas, plumbers, welders, electricians, car mechanics and other trade-related workers are needing to be problem-solvers, IT specialists, and increasingly self-employed business people, as well as having the manual skills associated with their profession.

Artificial intelligence (AI) is another development that is already affecting the workforce. Routine work, whether clerical or manual, is being increasingly replaced by automation. Although all kinds of jobs are likely to be affected by increased automation and applications of AI, those in the workforce with lower levels of education are likely to be the most impacted. Those with higher levels of education are likely to have a better chance of finding work that machines cannot do as well – or even creating new work for themselves.

1.1.3 Knowledge-based workers

There are certain common features of knowledge-based workers in a digital age:

• they usually work in small companies (less than 10 people);
• they sometimes own their own business, or are their own boss; sometimes they have created their own job, which didn’t exist until they worked out there was a need and they could meet that need;
• they often work on contract or are self-employed, so they move around from one job to another fairly frequently (the gig economy);
• the nature of their work tends to change over time, in response to market and technological developments and thus the knowledge base of their work tends to change rapidly;
• they are digitally smart or at least competent digitally; digital technology is often a key component of their work;
• because they often work for themselves or in small companies, they play many roles: marketer, designer, salesperson, accountant/business manager, technical support, for example;
• they depend heavily on informal social networks to bring in business and to keep up to date with current trends in their area of work;
• they need to keep on learning to stay on top in their work, and they need to manage that learning for themselves;
• above all, they need to be flexible, to adapt to rapidly changing conditions around them.

It can be seen then that it is difficult to predict with any accuracy what many graduates will actually be doing ten or so years after graduation, except in very broad terms. Even in areas where there are clear professional tracks, such as medicine, nursing or engineering, the knowledge base and even the working conditions are likely to undergo rapid change and transformation over that period of time. However, we shall see in Chapter 1 Section 2 that it is possible to predict many of the skills they will need to survive and prosper in such an environment.

This is good news for the higher or post-secondary education sector overall (universities and colleges) as the knowledge and skill levels needed in the workforce increases. It has resulted in a major expansion of post-secondary education to meet the demand for knowledge-based work and higher levels of skill. The post-secondary enrolment rate of 19-year-olds across all Canadian provinces increased steadily from 53% in 2001 to 64% in 2014, equivalent to a 21% rise over the 13-year period (Frenette, 2017). This means more students for universities and colleges, even where population trends are flat or even declining.

References

OECD (2013a) OECD Skills Outlook: First Results from the Survey of Adult Skills Paris: OECD

OECD (2013b) Competition Policy and Knowledge-Based Capital Paris: OECD

Frenette, M. (2017) Postsecondary Enrolment by Parental Income: Recent National and Provincial Trends Ottawa: Statistics Canada