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Two broad approaches exist for learning technology implementation: The adoption of a centralized learning management approach. This may include development of a central learning support lab where new courses are developed in a team-based approach—consisting of subject matter expert, graphic designers, instructional designer, and programmers. This model can be effective for creation of new courses and programs receiving large sources of funding. Most likely, however, enterprise-wide adoption (standardizing on a single LMS) requires individual departments and faculty members to move courses online by themselves. Support may be provided for learning how to use the LMS, but moving content online is largely the responsibility of faculty. This model works well for environments where faculty have a high degree of autonomy, though it does cause varying levels of quality in online courses. Personal learning environments (PLEs) are a recent trend addressing the limitations of an LMS. Instead of a centralized model of design and deployment, individual departments select from a collage of tools—each intending to serve a particular function in the learning process. Instead of limited functionality, with highly centralized control and sequential delivery of learning, a PLE provides a more contextually appropriate toolset. The greater adaptability to differing learning approaches and environments afforded by PLEs is offset by the challenge of reduced structure in management and implementation of learning. This can present a significant challenge when organizations value traditional lecture learning models.

Self-organised learning networks provide a base for the establishment of a form of education that goes beyond course and curriculum centric models, and envisions a learner-centred and learner controlled model of lifelong learning. In such learning contexts learners have the same possibilities to act that teachers and other staff members have in regular, less learner-centred educational approaches. In addition these networks are designed to operate without increasing the workload for learners or staff members.

Instead of learning housed in content management systems, learning is embedded in rich networks and conversational spaces. The onus, again, falls on the university to define its views of learning.

“Historically, the learning community has stayed away from informal learning and social learning, and that is where most of the learning is taking place,” ASTD CEO Tony Bingham said during an interview promoting his new book, The New Social Learning, with co-author Marcia Conner. “We now have the tools, and the catalysts, to engage [employees] with that kind of learning. I think that is going to help the learning community take it to the next level.”  

An ASTD and Institute for Corporate Productivity study made a strong business case for using social media to enhance productivity. Millennials found social media tools more helpful in terms of learning and getting work done than Generation X workers or Baby Boomers. More organizations dabbled in social media during 2010, using shared workspaces, social networks, and wikis to deliver learning and development.   “The next generation of workers coming into organizations will demand the ability to work in ways they’ve already found to enable success,” wrote Jeanne Meister and Karie Willyerd in a July 2010 T+D article. “If the learning function does not step up to the task, some other department in the organization will, and the learning function will become irrelevant.”

As Daniel Pink wrote in The New Social Learning foreword, social learning will not replace training and employee development, “but it can accomplish what traditional approaches often cannot … [It] can supplement instruction with collaboration and co-creation, and in doing so, blur the boundary between the instructor and the instructed. … It can bring far-flung employees together into new communities in which they can not only learn from one another, but also fashion new offerings for customers. In short, social media can change the way your company works.”  

An important part of learning is to build your own personal learning network -- a group of people who can guide your learning, point you to learning opportunities, answer your questions, and give you the benefit of their own knowledge and experience.

we are all inundated with data (Stage 1) -- all those manuals, brochures, memos, letters, reports, and other printed material that cross our field of vision every day, not to mention all that we receive electronically

when you take data and give it relevance and purpose, you create information. Information (Stage 2) is the minimum we should be seeking for all of our learning activities.

Sharing content is not considered unethical; indeed, the hoarding of content is viewed as antisocial [9]. And open content is viewed not merely as nice to have but essential for the creation of the sort of learning network described by Siemens [10].

In a nutshell, what was happening was that the Web was shifting from being a medium, in which information was transmitted and consumed, into being a platform, in which content was created, shared, remixed, repurposed, and passed along. And what people were doing with the Web was not merely reading books, listening to the radio or watching TV, but having a conversation, with a vocabulary consisting not just of words but of images, video, multimedia and whatever they could get their hands on. And this became, and looked like, and behaved like, a network.

Blogging is very different from traditionally assigned learning content. It is much less formal. It is written from a personal point of view, in a personal voice. Students' blog posts are often about something from their own range of interests, rather than on a course topic or assigned project. More importantly, what happens when students blog, and read reach others' blogs, is that a network of interactions forms-much like a social network, and much like Wenger's community of practice.

Active and Reflective Processing. Active learners tend to learn while doing something active---trying things out, bouncing ideas off others; reflective learners do much more of their processing introspectively, thinking things through before trying them out [12]. Active learners work well in groups; reflective learners prefer to work alone or in pairs. Unfortunately, most lecture classes do very little for either group: the active learners never get to do anything and the reflective learners never have time to reflect. Instead, both groups are kept busy trying to keep up with a constant barrage of verbiage, or else they are lulled into inattention by their enforced passivity. The research is quite clear on the question of active and reflective versus passive learning. In a number of studies comparing instructor-centered classes (lecture/demonstration) with student-centered classes (problem-solving/discussion), lectures were found to be marginally more effective when students were tested on short-term recall of facts but active classroom environments were superior when the criteria involved comprehension, long-term recall, general problem-solving ability, scientific attitude, and subsequent interest in the subject [15]. Substantial benefits are also cited for teaching methods that provide opportunities for reflection, such as giving students time in class to write brief summaries and formulate written questions about the material just covered [15,20].

reflective learners do well at individual research and design.

Unfortunately---in part because teachers tend to favor their own learning styles, in part because they instinctively teach the way they were taught in most college classes---the teaching style in most lecture courses tilts heavily toward the small percentage of college students who are at once intuitive, verbal, deductive, reflective and sequential. This imbalance puts a sizeable fraction of the student population at a disadvantage. Laboratory courses, being inherently sensory, visual, and active, could in principle compensate for a portion of the imbalance; however, most labs involve primarily mechanical exercises that illustrate only a minor subset of the concepts presented in lecture and seldom provide significant insights or skill development. Sensing, visual, inductive, active, and global learners thus rarely get their educational needs met in science courses.

And the main thing to keep in mind is that if you are not teaching a writing course, there is no law that says you have to comment.

There's a quick and easy form of "proto-commenting" that is remarkably effective--especially appropriate perhaps for think pieces: putting straight lines alongside or underneath strong passages, wavy lines alongside or underneath problem passages, and X's next to things that seem plainly wrong. I can do this almost as fast as I can read, and it gives remarkably useful feedback to students: it conveys the presence and reactions of a reader.

Two-fers:

But writing assignments are not just exercises in grammar and grading. They are exercises in learning

Psychologists and other cognitive scientists know so much about psycholinguistics, language, and memory that they should well understand the close link between composition and knowledge. Yet many view writing as only a means of assessing a students' understanding of course material, and overlook the profound impact that the writing process has on understanding itself

The act of writing is an act of thought

Such experiences may point the way to how personal learning environments will evolve in the future. The PLE will not be one application running on the desktop or in a web browser. Rather, it will be multiple applications running on may different devices. It is also important to understand that learners will use different devices in different contexts and for different purposes. The PLE will be based on networks of people with whom learners interact, they may adapt a particular tool for communication and interaction in a particular context but then cease to sue that tool when that context has passed. In previous projects linked to mobile learning we have tended to focus on how to transmit standardised learning materials and applications to different platforms and devices. The PLE will be comprised of not only all the software tools, applications and services we use for learning but the different devices we use to communicate and share knowledge.

This pedagogical approach values writing as a method of learning.

This approach recognizes that each discipline has its own unique language conventions, format, and structure. In other words, the style, organization, and format that is acceptable in one discipline may not be at all acceptable in another.

Because the subjects were thinking about what they got wrong, they learned how to get it right.

The problem with praising kids for their innate intelligence — the “smart” compliment — is that it misrepresents the psychological reality of education. It encourages kids to avoid the most useful kind of learning activities, which is when we learn from our mistakes. Because unless we experience the unpleasant symptoms of being wrong — that surge of Pe activity a few hundred milliseconds after the error, directing our attention to the very thing we’d like to ignore — the mind will never revise its models. We’ll keep on making the same mistakes, forsaking self-improvement for the sake of self-confidence. Samuel Beckett had the right attitude: “Ever tried. Ever failed. No matter. Try Again. Fail again. Fail better.”

As an early assignment, a facilitator might ask the group to vote on a question, to introduce themselves to the rest of the group, or provide a link to resources they’ve found useful in the past.

The first threaded discussions might evolve from simple polls into exercises where you ask learners to rank choices in the order of their preference and explain the reasons for their choice. Later, you might ask participants to divide into groups (or they might naturally divide into groups on their own) to argue the pros and cons of a particular situation. You can ask specific members to pose questions to the group, submit blog entries, or edit wiki entries for accuracy.

Scoring is a motivator because it provides users with feedback. If your learning environment doesn’t include a scoring strategy, look for ways to help the members of the community notice and appreciate one another’s contributions.

Too many college graduates are not prepared to think critically and creatively, speak and write cogently and clearly, solve problems, comprehend complex issues, accept responsibility and accountability, take the perspective of others, or meet the expectations of employers.

The current culture -- the shared norms, values, standards, expectations and priorities -- of teaching and learning in the academy is not powerful enough to support true higher learning. As a result, students do not experience the kind of integrated, holistic, developmental, rigorous undergraduate education that must exist as an absolute condition for truly transformative higher learning to occur.

Degrees have become deliverables because we are no longer willing to make students work hard against high standards to earn them.

In contrast, e-learning 2.0 (as coined by Stephen Downes) takes a 'small pieces, loosely joined' approach that combines the use of discrete but complementary tools and web services - such as blogs, wikis, and other social software - to support the creation of ad-hoc learning communities.