Continuing the publication of my insights on Knowledge Management (KM) made possible by my friends at Parature, I want to focus on maintenance as what is likely the biggest problem of, and most impor…...
Creativity works in mysterious and often paradoxical ways. Creative thinking is a stable, defining characteristic in some personalities, but it may also change based on situation and context. Inspiration and ideas often arise seemingly out of nowhere and then fail to show up when we most need them, and creative thinking requires complex cognition yet is completely distinct from the thinking process.
Unlike many theories involving physics for example, it is unlikely that a single learning theory is “right,” and will ultimately prove other theories “wrong.” How people learn is complex, and any unifying theory on how it all happens that’s entirely accurate would likely be too vague to be helpful. In that way, each “theory” is more of a way to describe one truth out of many.
How-To Manage The Mass Of Information WE Encounter Each Day? When WE use Social-Media, especially Twitter, lots of users know already about a PLN (Personal [Professional] LEARNing Network) and through it WE get a MASS of information on a daily base.
Before the internet we learned from institutions, friends, family and co-workers. Learning was a process largely influenced from local resources; schools, work, communities and civic activities. We also learned from media fed to us and media we sought in books, videos and sound. Our resources were limited by reach, access and choices.
Today the resources for learning are unlimited and for the most part free. Our reach to information is unlimited and access is 24/7 which expands the venue of choices. As a result we are all learning what we didn’t know but want to know and we are being taught by others that do know.
In “Connectivism: A Learning Theory for the Digital Age,” George Siemens argues that technology has changed the way we learn, explaining how it tends to complicate or expose the limitations of the learning theories of the past.
The crucial point of connectivism is that the connections that make it possible for us to learn in the future are more relevant than the knowledge we hold individually in the present. Technology can, to some degree and in certain contexts, replace “know how” with “know where to look.”
Access to relevant knowledge, including the ability to reach the long tail of knowledge, is critical to the success of KM programs. This white paper explores the top reasons why traditional KM initiatives need to change and explains the critical success factors of successful KM initiatives.
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