Rethinking human capital development in Knowmad Society

Rethinking human capital development in Knowmad Society

by John W. Moravec

I present a framework for conceptualizing changes in society, driven by the forces of globalization, an expanding knowledge society, and accelerating change. The framework is centered on three social paradigms, which I label “Society 1.0,” “Society 2.0,” and “Society 3.0” (Moravec, 2008c) – expressed as Industrial Society, Knowledge Society, and Knowmad Society. Society 1.0 reflects the norms and practices of pre-industrial to industrial civilization. Society 2.0 refers to the radical social transformations that we are experiencing today, largely due to technological change. The 3.0 or Knowmad Society points to a state of society that is developing into our near future, where accelerating technological change is projected to have huge transformative implications. This chapter also considers the human capital development consequences and necessary transformations in education to meet the needs of a rapidly transforming society, and looks into some of the challenges facing Knowmad Society in an era of accelerating change.

The paradoxical co-existence of “Education 1.0” in “Society 3.0”

Society 1.0

Society 1.0 refers to the agricultural to industrial-based society that was largely present throughout the 18th century through the end of the 20th century. In the early portion of this period, economic activity was centered on family-based enterprises. Children learned at home, and children worked at home. Kids and adults were engaged cross-generationally. Not only were children valuable contributors to the economy at all levels, but adults and kids learned from each other. This paradigm facilitated “learning by doing,” which was formally adopted by organizations such as 4-H, and embraced the principle that if we teach youth ideas and skills, they would, in turn, teach their parents (4-H, n.d.).

The rise of the industrial economy saw growth in wage and salary-based enterprises. Kids began to work at low-level and often dangerous jobs until they were segregated from the workplace to protect their welfare. This also signaled the industrialization of education, where, separated from the primary production economy, children were placed into an institutional mechanism of compulsory schooling where kids learned skills from adults (and not vice-versa), and eventually emerged from the system as “educated,” young adults, immediately employable for the industrial economy.

In Society 1.0, we interpreted data in an industrial manner – leading to the information age. By and large, our relationships were hierarchical. That is, it was easy to tell how we related with each other. Companies had reporting structures that were easy to decipher. And, we had siloed jobs and roles within organizations and communities. We did everything we could to avoid chaos and ambiguity. Leading toward the end of the 20th century, this model worked fine. It was easy to understand. It was easy to operationalize. Moreover, it benefited from an education system that produced workers for the industrial-modeled economy.

By the end of the 20th century, the industrialization of education and proliferation of meritocratic academic structures in the 1.0 paradigm all but eliminated the recognition of “learning by doing.” This evolved norm generally provided socioeconomic advantages for those that successfully navigated the industrialized meritocracy (better jobs, better pay) than those who avoided it or did not survive the system.

Society 2.0

The appearance of Society 2.0 is associated with the emergence of the knowledge society that materialized in the 20th century (see esp. Drucker, 1969, 1985). To become meaningful, information needed to be interpreted, necessitating the creation of knowledge workers. However, as Polyani (1968) explains, the nature of knowledge, itself, is personal and is composed of tacit and explicit components. Explicit knowledge is easy to transfer from person to person, and can be communicated, for example, through books. Tacit knowledge, like knowing how to play the violin, is difficult to transfer, and is best developed by “learning by doing.” These two forms of knowledge combine in the creation of personally-constructed meanings that defy the absolute objectivity of Society 1.0’s industrial information model. Additionally, as social animals, humans engage in community activities and share their personal knowledge across ever-complex, networked systems. This growing ecosystem of personally-constructed meanings and values facilitated the creation of the field of knowledge management in the latter half of the 20th century, which attempted to manage the new elements of chaos and ambiguity related to personal knowledge that were inputted into organizational systems.

Advances in information and communications technologies (ICTs) facilitated the broadened production of socially-constructed meanings. Many of these advancements are made possible through the convergence of the Internet (which has become the symbol for all things networking – personal and technological) and globalization, opening potentials for globally-aware and globally-present social networks. Tools that harness ICTs are not only used to share ideas, but also to create new interpretations of the “reality” we live in. A few scholars (see, for example, Mahiri, 2004) recognize this as a “cut-and-paste” culture. One potent example of this cultural shift is hip-hop, which remixes and reuses sounds, lyrics, and imagery to create new meanings that are as much unique and individual to the hip-hop artist as the creator and the works’ original sources. Other examples include the products of “Web 2.0” tools (see esp. Cobo Romaní & Pardo Kuklinski, 2007, for a detailed discussion) that allow individuals to harness new social networks to remix and share ideas and media (e.g., blogs, wikis, and YouTube).

The mass availability of these tools also allows everyday people to participate in an expanded array of vocations and citizen engagement. For example, tools such as blogs, Twitter and YouTube allow for the formation of citizen journalists, who are able to compete directly with mainstream media at a nearly negligible fraction of the cost that mainstream media needs to develop and deliver content. The technologies also allow for the formation of citizen scientists. By donating computing processing time, non-scientifically trained individuals can search for signs of extraterrestrial intelligence (SETI@Home project), search for a cure for cancer (Folding@Home), and examine stellar particles retrieved from space (Stardust@Home). Likewise, the Audubon Society has long relied on its social network of professional and amateur birdwatchers to generate a statistically accurate estimate of birds within a given area. Furthermore, technologies allow for the greater democratization of markets, creating citizen capitalists that invest and compete in a global market for ideas, talent, products, and other capital.

Socially-oriented ICTs carry constraints and limitations that force individuals to transform how they think and act. For example, Twitter limits message sizes to 140 characters or less, forcing content producers to deliver clear, concise messages in limited space.

These transformations are leading to new questions for social and educational theorists that are still being debated – and research suggests that these changes are impacting the fundamental organization of the human brain (see esp. Small & Vorgan, 2008). Some key questions arising are: Does Society 2.0 dumb people down, or are we creating a new, hyper-connected, social super-intelligence? If tech-savvy youth are composing their thoughts in 140 characters or less, are we facing a loss of literacy? In a world with Twitter, do we have any cognitive capacity to read full-length novels? In a world with YouTube, can we sit through feature length films? Is technological change, paired with globalization, leading to a loss of our cultural heritages? Finally, how can education remain relevant in a cut-and-paste society where information flows freely?

Society 3.0: Knowmad Society

“The future is already here – it’s just not evenly distributed.”
– William Gibson (interviewed in Gladstone, 1999)

For most of us, Society 3.0 is in the future – possibly in the distant future. But, for a few people leading the change toward this proto-paradigm, it is very real. Three drivers are leading us to the formation of the 3.0, knowmadic paradigm, which describes a world that is somewhere between “just around the corner” and “just beyond the horizon” of today’s state-of-the-art:

Accelerating technological and social change;

Continuing globalization and horizontalization of knowledge and relationships (de-hierarchization); and,

Innovation society fueled by knowmads.

Kurzweil (1999) postulates a theory he labels the Law of Accelerating Returns to describe the evolutionary process that leads to accelerating technological and social change:

As order exponentially increases, time exponentially speeds up (that is, the time interval between salient events grows shorter as time passes). (Kurzweil, 1999, p. 30)

Figure 1. Accelerating technological change

Figure 1. Accelerating technological change

Note. The J-curve of accelerating change illustrates the exponential development and exponentially reduced costs of technologies. One example is evident in the evolution of microprocessors, which follow Moore’s (1965) Law of doubling the number of transistors on integrated circuits every two years, while also reducing the costs of associated processing speed, memory capacities, etc. The inflection point on the graph is the approximate location of the Technological Singularity, at which point change occurs so rapidly that the human mind cannot imagine what will happen next. If this trend continues, and Moore’s Law is followed for the next 600 years, a single microprocessor would have the computational equivalency of the known Universe (Krauss & Starkman, 2004).

In other words, change is occurring rapidly, and the pace of change is increasing at a rate that will defy human imagination. Kurzweil’s idea is founded on the premise that as technologies evolve, technologies improve, costs decrease; and, in turn, the process of technological evolution advances and speeds itself up, creating a J-curve of exponential, accelerating change (see Figure 1, above). As technologies evolve, they will also prompt social transformations (Morgan, 1877).

This acceleration of change, however, is predicted to have an enormous impact on human imagination and our abilities to predict the future. Vinge (1993) terms the theoretical limit of human foresight and imagination (illustrated as the inflection point on the above graphic) as the Technological Singularity. As the rate of technological advancement increases, it will become more difficult for a human observer to predict or understand future technological advancements.

Given the rate of exponential advancement illustrated by Kurzweil (2005), the pace of technological advancements in the future may seem nearly simultaneous to human observers. Kurzweil further believes the Singularity will emerge as the complex, seemingly chaotic outcome of converging technologies (esp. genetics, nanotechnology, robotics, and the integration of these technologies with humans). Vinge (in Moravec, 2012) believes the best option for humanity is to merge with our technologies and build a “digital Gaia” of global human-technology integration and knowledge sharing. This merging with technologies could involve augmenting our bodies, engineering “improved” humans, and active involvement in the design of our successor species.

As noted previously, technological change facilitates social change. Near future technological advancements are therefore expected to ignite social transformations that defy human imagination today. Critics of the Technological Singularity, including Rushkoff (2013), contend that it is impossible to disentangle humans from technologies. It is not worthwhile to focus our attention on dealing with future change, as many of these transformations are already occurring today, and we need to become aware with their relationships with the present –and ourselves.

Predictably, the impacts of accelerating technological and social changes on education are enormous. Today’s stakeholders in our youths’ future must prepare kids for futures that none of us can even dream are possible.

Continuing globalization is leading to a horizontalized diffusion of knowledge in domains that were previously siloed, creating heterarchical relationships, and providing new opportunities for knowledge to be applied contextually in innovative applications. In the realm of teaching and learning, this means that we are becoming not only co-learners, but also co-teachers as we co-constructively produce new knowledge and new applications for our knowledge.

Table 1 summarizes key differences between the three social paradigms that we explore in this book. In the shift from Society 1.0 to Society 3.0, our basic relationships transform from linear, mechanistic, and deterministic connections to a new order that is highly non-linear, synergetic, and design-oriented. The effects of accelerating change suggest that causality, itself, may seem to express anticausal characteristics, due to the near instantaneousness of events experienced by a society in a period of continuous, accelerating change. Therefore, how reality is contextualized (and contextually responded to) becomes much more important to citizens in Society 3.0 than it was in previous paradigms.

Table 1. Societies 1.0 through 3.0 across various domains (inspired by Schwartz & Ogilvy, 1979)

Domain 1.0 2.0 3.0
Fundamental relationships Simple Complex Complex creative (teleological)
Conceptualization of order Hierarchic Heterarchic Intentional (self-organizing)
Relationship of parts Mechanical Holographic Synergetic
Worldview Deterministic Indeterminate Design
Causality Linear Mutual Anticausal
Change Process Assembly Morphegenic Creative destruction
Reality Objective Perspectival Contextual
Place Local Globalizing Globalized


Knowmads in Society 3.0

A knowmad is what I term a nomadic knowledge and innovation worker – that is, a creative, imaginative, and innovative person who can work with almost anybody, anytime, and anywhere (Moravec, 2008a). Knowmads are valued for the personal knowledge that they possess, and this knowledge gives them a competitive advantage in social and work contexts. Industrial society is giving way to knowledge and innovation work. Whereas the industrialization of Society 1.0 required people to settle in one place to perform a very specific role or function, the jobs associated with knowledge and information workers have become much less specific in regard to task and place. Moreover, technologies allow for these new paradigm workers to work either at a specific place, virtually, or in any blended combination. Knowmads can instantly reconfigure and recontextualize their work environments and relationships. Greater mobility afforded by technologies creates these new opportunities.

The remixing of people and ideas through digital and social formats has already become commonplace. Consider, for example, coffee shops. These environments have become the workplace of choice for many knowmads. What happens when an investment banker sits next to an architect and strikes up a conversation? What new ideas, products, and services might be created?

Knowmads:

  1. Are not restricted to a specific age;
  2. Build their personal knowledge through explicit information gathering and tacit experiences, and leverage their personal knowledge to produce new ideas;
  3. Are able to contextually apply their ideas and expertise in various social and organizational configurations;
  4. Are highly motivated to collaborate, and are natural networkers, navigating new organizations, cultures, and societies;
  5. Use new technologies purposively to help them solve problems and transcend geographical limitations;
  6. Are open to sharing what they know, and invite and support open access to information, knowledge, and expertise from others;
  7. Can unlearn as quickly as they learn, adopting new ideas and practices as necessary;
  8. Thrive in non-hierarchical networks and organizations;
  9. Develop habits of mind and practice to learn continuously; and,
  10. Are not afraid of failure.

Note. List inspired by Cobo (2008).

The remixing of places and social relationships implies that a tremendous impact on education is developing as well. Students in Knowmad Society should learn, work, play, and share in almost any configuration. But, there is little evidence to support any claim that formal education is moving toward the 3.0 paradigm.

When we compare the list of skills required of knowmads to the goals and outcomes of mainstream education, we must ask: Precisely what are we educating for? Are we educating to create factory workers and bureaucrats? Or, are we educating to create innovators, capable of leveraging their own imagination and creativity?

Legacy education: Factory of the state

The industrialization of Europe was accompanied by social, economic, and political transformations that impacted education directly. Regents sought to replace aristocratic rulers with citizens instilled with national pride and a willingness to work for the “good” of their country. At the same time, economic growth required more factory workers and government bureaucrats to manage the system as industrial society emerged.

To meet these needs, Frederick II of Prussia, initiated in 1763 what may be considered the most radical reform in the history of education: compulsory schooling. All children in Prussia between the ages of five and 13 were required to attend schools, which were developed into apparatuses of the state. Principles of industrial production were applied to classrooms, which were segregated by age. Pupils were aligned at desks, facing the head, where the teacher, bestowed with the absolute authority of the state, “downloaded” information and state ideology into the heads of students as if they were empty vessels.

The result: the state produced students that were loyal to the nation and had the potential of becoming capable factory workers and bureaucrats. This industrial model of compulsory education gained popularity in Europe, and, eventually, it was adopted throughout Western Civilization, where it remains the prevalent model of education today.

Invisible learning: A new expression of human capital development in Knowmad Society

In the Invisible learning project, Cristóbal Cobo and I explored a panorama of options for the future development of education that are relevant today (see Cobo & Moravec, 2011). In our work, we did not propose a formal theory, but rather established a metatheory capable of integrating different ideas and perspectives. We describe this as a proto-paradigm, aligned with our visions of a knowmad-centric Society 3.0, which is still in the beta stage of construction.

Knowmad Society calls for the transformation from industrial-era, “banking” pedagogies (see esp. Freire, 1968) that transmit “just in case” information and knowledge (i.e., memorization of the world’s capitals) toward modes that utilize the invisible spaces to develop personally- and socially- meaningful, actionable knowledge. There is growing recognition that people with unique, key knowledge and skills (i.e., knowmads) are critical for the success of modern organizations. Godin (2010) argues successful people in today’s organizations serve as “linchpins.” From an interview with Godin by Hyatt (2010), Godin states:

The linchpin insists on making a difference, on leading, on connecting with others and doing something I call art. The linchpin is the indispensable one, the one the company can’t live without. This is about humanity, not compliance. (Hyatt, 2010)

In their book, The element, Robinson & Aronica (2009) interview many people who have experienced extraordinary success in their careers, and identified that the people they spoke with found their “element” – that is, their success was largely due to the fact that they did something they enjoyed in addition to being good at it. This runs contrary to the “just in case” industrial model of education, and suggests that if we enable more people to pursue their passions and support them, we open possibilities for them to achieve meaningful success.

In the invisible learning proto-paradigm, the inherent chaos and ambiguity related to tremendous technological and social changes call for a resurgence of “learning by doing.” In a sense, we are creating the future as we go along, and without a master plan to follow. As co-learners and co-teachers, we are co-responsible for helping each other find our own elements along our pathways of personal, knowmadic development.

How do we measure learning in the invisible spaces?

The cult of educational measurement

A key concern for policymakers and other stakeholders in education is, what is being learned? In an education system focused on industrial information delivery, this is an important quality control issue. People responsible for aligning resources for learning, need to know what works and what does not.

The linearity of the industrial paradigm thrives on mechanical processes. For example, groups of learners are expected to read books progressively, chapter-by-chapter, and recite the information and “facts” they acquired linearly through memorization. In this paradigm, the use of summative evaluation (i.e., tests) is de rigueur. And, this is very convenient for governments. It suggests that the knowledge of students can be represented, tabulated, and communicated as numbers in a spreadsheet report.

Throughout the world, we have adopted this culture of industrial learning and evaluation en masse, and created a cult of educational measurement to support it. In the United States, this is manifested through the testing requirements of the No Child Left Behind Act. In Spain, the cult is evident in the filtering processes that lead to the Prueba de Acceso. In the United Kingdom, it is expressed within the National Curriculum (Education Reform Act of 1988). And so on.

This industrial model serves the needs of government overseers, but does little to meet the development needs of individual learners. With policies with names like “No Child Left Behind,” it is hard to disagree: is the alternative to leave children behind? The unfortunate reality, however, is that, in these industrial-modeled policies, we tend to leave many children behind. These testing-centric regimes produce exactly the wrong labor products for the 21st century, but they are appropriate for what the world needed from the 19th century through World War II. As Robinson (2001) and others have argued, these fractured memorization models oppose the creative, synthetical thinking required for work in the new economy and effective citizenship.

Leapfrogging beyond the cult of educational measurement

When we focus on how to learn, not what to learn, learning becomes invisible.

In the knowmadic, 3.0 proto-paradigm, rote, “just in case” memorization needs to be replaced with learning that is intended to be personally meaningful for all participants in the learning experience. Moreover, the application of personal knowledge toward innovative problem solving takes primacy over the regurgitation of prior information memorized or “facts.” In essence, students become knowledge brokers (Meyer, 2010).

Approaches that enable invisible learning also permit students to act on their knowledge, applying what they know to solve problems – including problems that have not been solved before. This contextual, purposive application of personal knowledge to create innovative solutions negates the value of standardized testing, which does not promote imaginative exploration, creative thinking, or innovative actions.

The “learning by doing” aspect of invisible learning that focuses on how to learn rather than what to learn suggests that measurement or evaluation activities need to be outcomes-based in the same way that we evaluate innovations:

What happened?

Did something new happen? (Was it something unexpected?)

Was there a positive benefit?

What can others learn from the experience?

Although there is a large body of literature supporting the need for formative assessments in education (see, for example, Armstrong, 1985; Marzano, 2003; Stiggins, 2008; Stiggins, Arter, Chappuis, & Chappuis, 2007), as well as a rich educational literature theory base that suggests we need to move toward learner-centered learning (perhaps the most vocal being Dewey, 1915; Freire, 2000), summative evaluations still persist in formal learning environments that present little value to the learner. Strategies to bring the informal into the formal are already present and widely adopted in business, industry, and, ironically, within some teacher education programs.

For example, Pekka Ihanainen (2010) explains that Finnish vocational teacher education is built on a dialogical professional development model. Knowledge and expertise areas of the teachers in training are identified and compared with their occupational competency requirements and goals. Following this assessment, career development trajectories and educational pathways are developed. The system is not only designed to determine how teachers in training meet government requirements, but also relates to their individual interests and professional development goals.

Releasing ourselves from the cult of measurement requires faith and confidence that we are always learning. As we observed in the Invisible learning project, as human beings, we are always engaged in learning – it is one of our most natural activities.

Implementing knowmadic learning: Making the invisible visible

The difficulties in mainstreaming invisible, knowmadic approaches to learning in Western education are daunting. Formal systems are deeply entrenched. Governments believe in a formal approach (it looks good on paper and within state and national budgets). Entire industries (i.e., textbooks, educational measurement) are built around it. And, the scale of the industrialization of education leaves many people wondering if it’s worth fighting against. The education-industrial complex is massive.

The system is further reinforced, by design, to change at a glacial pace. While markets can transform and reinvent themselves virtually overnight, governments cannot. They are designed to be slow and deliberative. As a result, they tend to lag significantly, and react to change more often than they proactively design or preact to create beneficial changes.

Paradoxically, despite being key components of systems most responsible for developing human capital and human development futures, educational bodies are designed to change even slower. Educational institutions and systems report to governments, respond to governmental policies, and align their programs to satisfy requirements and funding formulae established by legislative bodies. Moreover, these criteria, including establishing what to teach, depends on who sits on what committee at any given time. By relying on personalities, political gamesmanship, and feedback-looped special interests from the education-industrial complex, many question if the system has perhaps become too large, too slow, and too blind to the realities of today.

The problem is, the emerging pressures of Society 3.0 require educational transformation today. Schools need to develop students that can design future jobs, industries, and knowledge fields that we have yet to dream of. Schools need to operate as generators of the future, not laggards.

Is educational reform worth fighting for?

No.

Rather, it is time to start anew. As Sir Ken Robinson eloquently states, we need a revolution, not reform (TED, 2010). Revolutions are difficult to ignite. An entire genre of literature that Carmen Tschofen terms “change manifestos” has emerged in education that is rich in calls for change, but falls flat on making change happen (Moravec, 2010). The system, perhaps, has too much inertia. As Harkins and I  suggest in our “Leapfrog University” memo series to the University of Minnesota, a parallel approach may be necessary (Harkins & Moravec, 2006).

Rather than fighting the system, students, parents, communities, and other life-long learners can invest in establishing parallel, new schools and/or networks of learning, discovering, innovating, and sharing. And, some communities are already leading the way with innovative initiatives. For example:

Shibuya University Network (Japan): “Yasuaki Sakyo, president of Shibuya University, believes that education should be lifelong. At Shibuya, courses are free and open to all; classes take place in shops, cafes and outside; and anyone can be a teacher” (CNN, 2007). In essence, the entire community and its environment have become the co-learners, co-teachers, and classroom.

The Bank of Common Knowledge (Banco Común de Conocimientos, Spain): “is a pilot experience dedicated to the research of social mechanisms for the collective production of contents, mutual education, and citizen participation. It is a laboratory platform where we explore new ways of enhancing the distribution channels for practical and informal knowledge, as well as how to share it” (Bank of Common Knowledge, n.d.).

TED.com (Technology, Entertainment, Design, USA): challenges lecture-based education by creating “a clearinghouse that offers free knowledge and inspiration from the world’s most inspired thinkers, and also a community of curious souls to engage with ideas and each other” (TED, n.d.).

Knowmads Business School (Netherlands): an alternative “learning by doing” higher education experience, described later in this book, is not authorized by the government to issue diplomas, but invites students to earn a tattoo, if they like.

Redefining human capital development

To move forward in making invisible learning visible, we need to engage in conversations on what futures we want to create. We need to clarify our visions of where and who we want to be. In China, India, and throughout much of the developing world, the vision is simple: Catch up to the West through planned development. However, in the United States, Europe, and much of the rest of the Western world, concrete visions of where we want to be in the future are absent. I assert that either we do not know where we want to be in the future, or we lack the foresight to imagine ourselves in a future that is very different from what we experience today.

The consequence is that we are not making investments to our human capital development systems that will enable us to meet needs set by future challenges. We need to prepare our youth and other members of society for a future and workforce we cannot yet imagine. Moreover, given the potential for today’s children to be engaged productively in a “post-Singularity” era, it is important to assist them in the development of skills and habits of mind that will foster life-long learning and continuous, innovative applications of their personal knowledge.

The lack of vision –and preactive engagement on it– affects not only education, but also other areas of our socioeconomic well-being. Bob Herbert (2010) wrote for the New York Times on the United States’ new unwillingness to invest in ideas that could increase potentials for future growth and prosperity:

The United States is not just losing its capacity to do great things. It’s losing its soul. It’s speeding down an increasingly rubble-strewn path to a region where being second rate is good enough. (Herbert, 2010)

As organizations, communities, and nations, we need to set visions for the futures we will co-create, and act upon them. Throughout the remainder of this volume, we explore some of the methods individuals, teams, and organizations may employ to help develop our visions of the future.

Using technologies purposively

When engaged in conversations about invisible learning or other innovations in education, there is a tendency for people to gravitate their thoughts toward technology as if it can serve as a “silver bullet” to slay the metaphorical werewolf of the persistence of the industrial, Education 1.0 model. Innovation in education does not mean “technology.” Douglas Adams (1999) elaborated on the challenges of defining the purpose of technologies:

Another problem with the net is that it’s still ‘technology’, and ‘technology’, as the computer scientist Bran Ferren memorably defined it, is ‘stuff that doesn’t work yet.’ We no longer think of chairs as technology, we just think of them as chairs. But there was a time when we hadn’t worked out how many legs chairs should have, how tall they should be, and they would often ‘crash’ when we tried to use them. Before long, computers will be as trivial and plentiful as chairs (and a couple of decades or so after that, as sheets of paper or grains of sand) and we will cease to be aware of the things. In fact I’m sure we will look back on this last decade and wonder how we could ever have mistaken what we were doing with them for ‘productivity.’ (Adams, 1999)

Moreover, we use the term “technology” to describe new tools that we do not understand. That is, the purposive uses of “technologies” are not well defined. As a result, in educational contexts, we often take the best technologies and squander the opportunities they afford us. Roger Schank (in Molist, 2010) puts it bluntly:

It’s the same garbage, but placed differently. Schools select new technologies and ruin them. For example, when television came, every school put one in each classroom, but used it to do exactly the same things as before. The same with computers today. Oh, yes, we have e-learning! What does it mean? Then they give the same terrible course, but online, using computers in a stupid way. (Molist, 2010)

Douglas Rushkoff adds a critique in an interview with Paul Zenke, where he suggests our obsessions with technologies obscure real social interaction and learning:

[…] as we spend more of our time fetishizing these devices these new avenues for education, I feel like the human bonds of the classroom, actual people who are in the same room together, that loses its cohesiveness, it loses its power. The big challenge for people today is doing very simple things like maintaining eye contact, generating rapport with other human beings. Understanding how to work with others – that’s the kind of stuff you can get in a classroom, and you can’t get on a Wii when you’re at home. I’m really encouraging educators not to use classroom time to have kids all staring at the SMART Board or at their iPads, and instead to use that valuable few hours of class time you have helping kids and students orient to one another in real space. Because 94% of communication that happens non-verbally is starting to get lost as our noses get closer and closer into our smart phones. (Rushkoff in Zenke, 2013)

With these critiques in mind, the invisible learning approach to technology is purposive, pragmatic and centered at improving the human experience at its core. Specifically, this means that it is:

Well-defined: The purpose and applications of particular technologies need to be specified. Bringing in technologies for the sake of using technologies will likely lead to their misuse, underuse, and/or the creation of unintended outcomes.

Focused on developing mindware: The focus of technologies should not be on hardware or software, but on how they enhance our minds – that is, the focus is placed on how technologies can support our imaginations, creativity, and help us innovate.

Social: The use of technologies is often a social experience, and their social applications should be addressed. This includes leveraging social media tools for learning such as Facebook, Twitter, etc., which are commonly blocked from formal school settings.

Experimental: Embraces the concept of “learning by doing,” and allows for trial and error which can lead to successes and the occasional failure – but does not create failures.

Continuously evolving: As an area for “beta testing” new ideas and approaches to problems, it is continuously in a state of remixing and transformation. As society evolves continuously, so must our learning and sharing.

Who gets to leapfrog to Knowmad Society?

Complicating invisible learning is a problem of equity and equality. Is it appropriate for a select group of “invisible learners” to leapfrog ahead of peers who may be trapped within the paradigm of Education 1.0? If 1% of the population benefits from invisible learning approaches relevant for Knowmad Society, what should we do about the other 99%? Should they not have the right to leapfrog ahead, too?

I believe so. However, I also recognize the incredible inertia mainstream Education 1.0 possesses. Given the rates of accelerating technological, social, and economic change, we cannot wait. The revolution in learning and human capital development needs to begin now. This may mean starting out small, and working in parallel with entrenched systems. But, it also means that we need to lead by example to build a workforce ready for Knowmad Society today.

References

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Adams, D. N. (1999). How to stop worrying and learn to love the Internet. Retrieved October 10, 2010, from http://www.douglasadams.com/dna/19990901-00-a.html

Armstrong, J. S. (1985). Long range forecasting: From crystal ball to computer (2nd ed.). New York: Wiley.

Bank of Common Knowledge. (n.d.). About the Bank of Common Knowledge (BCK). Retrieved October 5, 2010, from http://www.bancocomun.org/Wiki/queEsBcc/

CNN. (2007). Interview: Yasuaki Sakyo. Retrieved October 5, 2010, from http://edition.cnn.com/2007/TECH/11/01/sakyo.qa/

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