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In particular, two activities emerged as being significantly correlated with increasing individual absorptive capacity and personal innovation: “idea scouting” and “idea connecting.” In an earlier paper that two of us coauthored, we defined an idea scout as an employee who looks outside the organization to bring in new ideas. An idea connector, meanwhile, is someone who can assimilate the external ideas and find opportunities within the organization to implement these new concepts.5

We begin by copying successful practice, and then begin to modify that practice to satisfy our own particular circumstances and needs

In addition to being expert in the discipline of teaching and pedagogy, the educator is now expected to have up-to-date and relevant knowledge and experience in it. Even a teacher of basic disciplines such as science, history or mathematics must remain grounded, as no discipline has remained stable for very long, and all disciplines require a deeper insight in order to be taught effectively.

What's significant about these examples is not so much the new opportunities they offer students, though there is that. It's that all of them redefine the educator's role in some significant way. They create entirely new categories of educator, such as "online lecturer" or "scientist studying polar bears". Entire disciplines, far removed from traditional "instructional design", are being created and populated by people who direct online videos, design learning communities, program massive games like Evoke. And they create new categories of roles and responsibilities for in-person educators.

Historically, it has been impractical to break up the roles of the teacher. You need a certain scale even to have a separate person assigned as a librarian or an audio-visual coordinator. You need a much greater scale, not to mention much better coordination, to have separate people assigned as lecturers, coaches, theorizers and evaluators. Yet relatively few of these roles need to be performed in person, and most of them scale pretty well.

what I find as I offer more and more types and instances of learning, both online and in person, is that we can achieve much more efficient, effective and rewarding learning by organizing the educational system according to the sorts of educational services people might want and need, rather than by predefined collections of students assigned, almost randomly, to individual teachers

one thing I have been observing is that educators have been gravitating toward one or another of these 23 roles. Some of them, presumably the more extroverted, have taken on the role of lecturer or demonstrator. Others, who were perhaps more technically inclined, have become programmers or bureaucrats. Still others, those perhaps work best with presence or human contact, prefer to function as coaches or mentors. Not everybody can perform every role; not everybody wants to perform every role.

it is frustrating when people identify the role of the teacher as the central factor influencing the success or failure of a student's education. Leaving aside any influence of external factors, such a statement begs us to question what aspect of the educator's role it is that is so vitally important. And while the likely answer may be that they all are, or that it depends on the individual student, it seems clear that continuing to treat them as a single role, to be performed by a single person, increasingly defies the reality that is today's educational system

Though there may still be thousands of people employed today with the job title of "teacher" or "educator", it is misleading to suggests that all, or even most, aspects of providing an education should, or could, be placed into the hands of these individuals.

not every student wants or needs the services of every role

In my last post, I introduced Helsper and Enyon’s (2009) idea that exposure to, and experience using, various digital technologies can have more of an influence that generation age on determining whether a person has the characteristics of a digital immigrant or a digital native. Of course, nothing is ever so clear cut. In his blog, Wesley Fryer discusses this, and expands the immigrant vs native classification into four categories, as shown below.

Goodyear, Carvalho and Dohn (2014, p 140) state that networked learning “ is no longer exotic”, however, I would argue that this very much depends on on one’s own perspective, which in turn would be shaped by personal experience and knowledge (aka the whole digital landscape debate).

(see Koutropoulis, 2011) Prensky’s division

about herself in the capacity of being a student,

smiss this message

Approach writers you admire.

Make sure that your work is in a somewhat similar vein.

Comment in a friendly and funny way on their posts and blogs.

Re-post their important announcements.

Be an active participant in author groups. Like this one!

Leave only sincere, glowing reviews on Amazon/Goodreads etc.

Go to author readings.

Be yourself. It’s okay if you’re shy.

Do not send private email messages to writers asking questions you could have answered yourself using Google.

Do not complain publicly when people don’t respond to your unsolicited overtures.

Maya Angelou said, “I’ve learned that people will forget what you said, people will forget what you did, but people will never forget how you made them feel.”

e expected to be

The following are several specific examples of what the open standards and services must enable to make this new architecture for learning a reality: Digital content and applications must be easily, quickly (ideally, within a few minutes versus months), and seamlessly integrated into any platform that supports a set of vendor-neutral open standards and, importantly, are not trapped inside a single platform. User, course, and context information must be synchronized among selected applications so that neither the manual transfer of information nor multiple logins to different applications are required—thus making set-up and use of new software much easier for all concerned. Data that describes usage, activities, and outcomes must flow from learning content apps to the enterprise system of record, learning platforms, and analytics platforms. Systems, services, and tools must be virtualized and must increasingly move toward the elastic computing model that enables sharing scenarios across systems or other federations of users.Imagine what would happen if CIOs could safely add services and applications in a matter of days instead of months, if instructors could seamlessly combine these tools into their courses with one click, and if analytics data would begin to flow immediately thereafter. This new IT architecture would revolutionize the support for academic technology in the same way that the app movement has revolutionized what is available on mobile devices. A key difference with the new IT architecture, however, is that these educational apps are built using standards adopted and managed by the educational community and would be connected into the educational enterprise IT infrastructure.

The rise of the MOOC illustrates how important innovations often happen outside of established channels: by faculty who, interested in innovation, put together their own technology solutions outside their college or university. This should be a wake-up call for the higher education community to do better. Enterprise IT organizations need to enable such innovation, not stand in its way.

whenever you’re thinking about nothing in particular

Universities, businesses and government agencies all compete for cognitive “talent,” and they frequently rely on intelligence testing to help them find it. Meanwhile, the evidence that intelligence testing may not work as advertised has been growing

you have to think of intelligence — when defined as problem-solving ability — not as a singular quality but as a spectrum. On one end is deductive, rules-based reasoning and on the other is imaginative, possibilities-based improvisation

our apparently mindless moments are actually humming with cognitive activity. Instead of letting moments of free time slip away, they say, our brains “capitalize on them to consolidate past experience in ways that are adaptive for our future needs.”

Like any human performance metric — IQ, LSAT scores, batting averages — the imagination quotient is intended to predict a competitive advantage

“If you have an imaginative capability to envision future possibilities, alternatives and scenarios — that’s going to be predictive [of success] across the board,” he says.

meaningful for everyone

These technologies become so complicated to use, that people simply don’t use them.

“the system does this, but I want to do that.”

What if a technology is so specific, it’s designed for just one person – yourself?