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The wide range of approaches and learning paths that are available to redesign curricula cause friction for educators and instructional designers who are required to deliver course materials in accordance with learning outcomes prescribed and mandated by educational institutions.

Connectivism stresses that two important skills that contribute to learning are the ability to seek out current information, and the ability to filter secondary and extraneous information.  Simply put, “The capacity to know is more critical than what is actually known” (Siemens, 2008, para. 6)

the way in which global networks and communities of interest are currently being formed through emerging technologies is encouraging young people, in particular, to develop new, creative, and different forms of communication and knowledge creation outside formal education

Siemens (2006b) highlights other factors that may inform the development of a new learning theory, namely “how we teach, how we design curriculum, the spaces and structures of learning, and the manner in which we foster and direct critical and creative thought in our redesign of education” (p. 6).

roponents of connectivism are “exploring a model of learning that reflects the network-like structure evident in online interactions,” (p. 12) but is this enough to constitute its formulation as a new learning theory, and does connectivism have anything new to offer?

The developmental implications of Downes’ definitions of learning and knowledge are far-reaching.  If learning transpires via connections to nodes on the network, then it follows that the maximization of learning can best be achieved through identifying the properties of effective networks, which is precisely what Downes sets out to achieve in Learning Networks and Connective Knowledge.

A paradigm shift, indeed, may be occurring in educational theory, and a new epistemology may be emerging, but it does not seem that connectivism’s contributions to the new paradigm warrant it being treated as a separate learning theory in and of its own right.  Connectivism, however, continues to play an important role in the development and emergence of new pedagogies, where control is shifting from the tutor to an increasingly more autonomous learner.

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.

are we preparing students to learn without us? How can we shift curriculum and pedagogy to more effectively help students form and answer their own questions, develop patience with uncertainty and ambiguity, appreciate and learn from failure, and develop the ability to go deeply into the subjects about which they have a passion to learn

writing blog posts

model the learning process together

Assessment changes as well. Donhauser says that the emphasis moves to assessing in the moment rather than at the end of a book or unit. "Rather than having a defined product that I receive from 25 students," she says, "I receive 25 individual assignments with their own unique content, insights, and styles." Using Google Docs, students continually update their progress, and she provides regular feedback. Students also give one another feedback on their plans as they go. Everyone follows a rubric that covers such areas as standards, learning outcomes, artifact explanation, blog posts, learning activities, work ethic, and research. Personalized learning like this requires students to reflect deeply on their effort and assess their work and progress, a fundamental part of developing the skills and dispositions to continue learning after the class ends.

the truly personal, self-directed learning that we can now pursue in online networks and communities differs substantially from the "personalized" opportunities that some schools are opening up to students. Although it might be an important first step in putting students on a path to a more self-directed, passionate, relevant learning life, it may not bring about the true transformation that many see as the potential of this moment.

t continues to play an important role in network forms of sociality because of the essentially one-to-one edges between nodes that lead to what Rainie and Wellman (2012) refer to as “networked individualism”—

However, one of their defining characteristics is that their members are, in principle and often in practice, listable.

People may be unaware that they are part of a set (e.g., people with a particular genetic marker), or they may identify with it (e.g., people who are fans of football or constructivist teaching methods).

Group-oriented systems tend to provide features like variable roles, restricted membership, and role-based permissions. Network-oriented systems tend to provide features like friending, linking, and commenting. Set-oriented systems tend to provide tools like topic- or location-based selections, tags, and categories.

From observations on PLENK it seems that for networked learning to be successful, people need to have the ability to direct their own learning and to have a level of critical literacies that will ensure they are confident at negotiating the Web in order to engage, participate, and get involved with learning activities.

People also have to be confident and competent in using the different tools in order to engage in meaningful interaction. It takes time for people to feel competent and comfortable to learn in an autonomous fashion, and there are critical literacies, such as collaboration, creativity, and a flexible mindset, that are prerequisites for active learning in a changing and complex learning environment without the provision of too much organized guidance by facilitators

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

written exams will have been replaced by assessment through multimedia portfolios of student work. These will show not only students’ current knowledge and competencies, but also their progression over time, and a range of equally important skills, such as their ability to work collaboratively, self-management of learning, and general communication skills. Assessment will be mainly on a continuous, on-going basis.

Since content will be freely accessible, institutions’ reputation and branding will increasingly depend on the way they support learners. This will put much greater emphasis on instructors having good teaching skills as well as subject expertise.

t will become increasingly difficult for institutions to protect student data and their privacy. This may turn out to be the biggest challenge for students, institutions, and government

you are in a position to influence a different kind of vision

They will have lost students to more prestigious universities and high status vocationally oriented institutions using online and flexible learning to boost their numbers.

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,

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researchers at Carnegie Mellon’s Open Learning Initiative, who’ve been experimenting with computer-based learning for years, have found that when machine-guided learning is combined with traditional classroom instruction, students can learn material in half the time.

Top schools like Yale, MIT and Stanford have been making streaming videos and podcasts of their courses available online for years, but MOOCs go beyond this to offer a full-blown interactive experience.

Teens now approaching college age are members of the first generation to have grown up conducting a major part of their social lives online. They are prepared to engage with professors and students online in a way their predecessors weren’t

What is emerging is a global marketplace where courses from numerous universities are available on a single website. Students can pick and choose the best offerings from each school; the university simply uploads the content.

The era of online education presents universities with a conflict of interests—the goal of educating the public on one hand, and the goal of making money on the other.

One potential source of cost savings for lower-rung colleges would be to draw from open-source courses offered by elite universities. Community colleges, for instance, could effectively outsource many of their courses via MOOCs, becoming, in effect, partial downstream aggregators of others’ creations, more or less like newspapers have used wire services to make up for a decline in the number of reporters.

To borrow an analogy from the music industry, universities have previously sold education in an “album” package—the four-year bachelor’s degree in a certain major, usually coupled with a core curriculum. The trend for the future will be more compact, targeted educational certificates and credits, which students will be able to pick and choose from to create their own academic portfolios.

The open-source educational marketplace will give everyone access to the best universities in the world. This will inevitably spell disaster for colleges and universities that are perceived as second rate.

Likewise, the most popular professors will enjoy massive influence as they teach vast global courses with registrants numbering in the hundreds of thousands (even though “most popular” may well equate to most entertaining rather than to most rigorous).

Because much of the teaching work can be scaled, automated or even duplicated by recording and replaying the same lecture over and over again on video, demand for instructors will decline. 

Large numbers of very intelligent and well-trained people may be freed up from teaching to do more of their own research and writing. A lot of top-notch research scientists and mathematicians are terrible teachers anyway.

Big changes are coming, and old attitudes and business models are set to collapse as new ones rise.

if our goal is educating as many students as possible, as well as possible, as affordably as possible, then the end of the university as we know it is nothing to fear. Indeed, it’s something to celebrate.