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David McGavock

Create more than you consume  - Medium - 1 views

medium.com/...-than-you-consume-9c1bc89dc71d

Infotention thinking tools learning culture creation consumption Learning pyramid tinker

shared by David McGavock on 24 Jun 14 - No Cached
  • The Learning Pyramid states that people retain:90% of what they learn when they teach someone else/use immediately.75% of what they learn when they practice what they learned.50% of what they learn when engaged in a group discussion.30% of what they learn when they see a demonstration.20% of what they learn from audio-visual.10% of what they learn when they’ve learned from reading.5% of what they learn when they’ve learned from lecture.
  • One of the studies reviewed by our lab was on meditation and how being in the moment decreases the noise in your brain, leading to improved scores on working memory and intelligence tests.
  • When you tie an emotion to an experience, a hormone is released that greases the wheels at certain chemical locations in the brain where nerves rewire to form new memory circuits:
  • ...6 more annotations...
  • When you consume in a passive way, by skimming and moving to the next thing, you’re at a learning disadvantage.
  • When I was in University, I worked at a psychology research center under the direction of one of Time Magazine’s Top 100 most influential people, Dr. Richie Davidson.
  • Self-taught individuals, also called autodidacts, are masters of retaining information largely because of their ability to reflect and put into action most of what they consume.
  • Instead of just trying to get to the end of your Twitter feed or articles that you saved for later, read each article as if you would need to tell a friend about it after.
  • 1-page summary immediately after every chapter he reads.
  • Nothing will help you absorb more of what you consume than trying to do. It’s through the mistakes made where the real learning happens.
  • David McGavock on 24 Jun 14
     
    Great article on creation, consumption, learning, memory
Charles van der Haegen

Turing's Cathedral. Author George Dyson in Conversation with John Hollar - YouTube - 0 views

www.youtube.com/watch

shared by Charles van der Haegen on 17 Oct 12 - No Cached
  • Charles van der Haegen on 17 Oct 12
     
    "Publiée le 19 mars 2012 par ComputerHistory [Recorded: March 7, 2012] I am thinking about something much more important than bombs. I am thinking about computers. John von Neumann, 1946 The most powerful technology of the last century was not the atomic bomb, but software-and both were invented by the same folks. Even as they were inventing it, the original geniuses imagined almost everything software has become since. At long last, George Dyson delivers the untold story of software's creation. It is an amazing tale brilliantly deciphered. Kevin Kelly, cofounder of WIRED magazine, author of What Technology Wants Legendary historian George Dyson vividly re-creates the scenes of focused experimentation, incredible mathematical insight, and pure creative genius that gave us computers, digital television, modern genetics, models of stellar evolution-in other words, computer code. In the 1940s and '50s, a group of eccentric geniuses-led by John von Neumann-gathered at the newly created Institute for Advanced Study in Princeton, New Jersey. Their joint project was the realization of the theoretical universal machine, an idea that had been put forth by mathematician Alan Turing. This group of brilliant engineers worked in isolation, almost entirely independent from industry and the traditional academic community. But because they relied exclusively on government funding, the government wanted its share of the results: the computer that they built also led directly to the hydrogen bomb. George Dyson has uncovered a wealth of new material about this project, and in bringing the story of these men and women and their ideas to life, he shows how the crucial advancements that dominated twentieth-century technology emerged from one computer in one laboratory, where the digital universe as we know it was born. Join John Hollar for a captivating conversation with Dyson about John von Neumann and the beginnings of the digital universe. This event is part of ou
  • Charles van der Haegen on 17 Oct 12
     
    view this
David McGavock

You Media :: About Us - 0 views

youmediachicago.org/...2-about-us

education socialmedia Cooperation digital media

shared by David McGavock on 28 Apr 12 - Cached
  • David McGavock on 28 Apr 12
     
    YOUmedia is an innovative, 21st century teen learning space housed at the Chicago Public Library's downtown Harold Washington Library Center. YOUmedia was created to connect young adults, books, media, mentors, and institutions throughout the city of Chicago in one dynamic space designed to inspire collaboration and creativity. High school age teens engaging with YOUmedia can access thousands of books, over 100 laptop and desktop computers, and a variety of media creation tools and software, all of which allow them to stretch their imaginations and their digital media skills. By working both in teams and individually, teens have an opportunity to engage in projects that promote critical thinking, creativity, and skill-building.
Charles van der Haegen

Skeptic » About Us » A Brief Introduction - 1 views

www.skeptic.com/about_us

science education critical thinking controversial ideas unconmfortable knowledge claims investigating fringe

shared by Charles van der Haegen on 27 Jul 11 - Cached
  • Charles van der Haegen on 27 Jul 11
     
    "A Brief Introduction All our science, measured against reality, is primitive and childlike - and yet it is the most precious thing we have. -Albert Einstein The Skeptics Society is a scientific and educational organization of scholars, scientists, historians, magicians, professors and teachers, and anyone curious about controversial ideas, extraordinary claims, revolutionary ideas, and the promotion of science. Our mission is to serve as an educational tool for those seeking clarification and viewpoints on those controversial ideas and claims. Under the direction of Dr. Michael Shermer, the Society engages in discussions with leading experts and investigates fringe science and paranormal claims. It is our hope that our efforts go a long way in promoting critical thinking and lifelong inquisitiveness in all individuals. I have made a ceaseless effort not to ridicule, not to bewail, not to scorn human actions, but to understand them. -Baruch Spinoza Some people believe that skepticism is the rejection of new ideas, or worse, they confuse "skeptic" with "cynic" and think that skeptics are a bunch of grumpy curmudgeons unwilling to accept any claim that challenges the status quo. This is wrong. Skepticism is a provisional approach to claims. It is the application of reason to any and all ideas - no sacred cows allowed. In other words, skepticism is a method, not a position. Ideally, skeptics do not go into an investigation closed to the possibility that a phenomenon might be real or that a claim might be true. When we say we are "skeptical," we mean that we must see compelling evidence before we believe. Skepticism has a long historical tradition dating back to ancient Greece, when Socrates observed: "All I know is that I know nothing." But this pure position is sterile and unproductive and held by virtually no one. If you were skeptical about everything, you would have to be skeptical of your own skepticism. Like the dec
  • Charles van der Haegen on 27 Jul 11
     
    a nice source of curated uncomfortable knowledge
Charles van der Haegen

Manuel Castells on Vimeo communication Power. Protecting the Commons of Communication S... - 0 views

social media communication power information journalism democracy

shared by Charles van der Haegen on 17 Jul 11 - No Cached
  • Charles van der Haegen on 17 Jul 11
     
    This is a fundamental lecture. Everyone interested in the future of the World should see this: Basic points (litterally transcribed from manuel Castells' conclusions * communication is the field of Power Making *Communication space has been transformed both by technology and by the restruction of Business and of the Madia *Because of that one of the things that has happened is that the space in the networked society, the space of communication, is more pervasive than ever in History: We all live in a hypertext of Communication * In that space, one of the things that has happenend is to increase the possibilities of the intervention, in autonomous terms, by people, by social actors, by grassroots movements, by social movements and by insurgent politics *It doesn't mean that there is freedom, it means that there are greater chances, greater possibilities *At the same time, because of that, business powers and political powers have understood the need to control also the horizontal networks of communication * Also to play the politics of the internet now has become too important and therefore we have all the attempts to senson the internet * We have all the attempts to use Internet users as potential hiders and cheaters *We have the debate of Internet neutrality because the owners of internet infrastructure are trying to appropriate the infrastructure for the servive of their clients and customers SO WE HAVE A MAJOR? MAJOR POLITICAL BATTLE? AND BUSINESS BATTLE FOR THE CONTROL OF INTERNET And so the most important practical conclusion of my analysis is that the autonomous construction of meaning can only proceed by preserving the commons of communication networks made possible by Internet, a free creation of freedom lovers This will not be an easy task, becuase the power holders in the network society must, to be in Power, must enclose free communication in commercial and public networks in order to close the public mind by programming the connection between communica
  • Charles van der Haegen on 17 Jul 11
     
    I believe this video to be fundamental, and so close to our themes: Learning, mind Amplifying, collaboration... Let's all together protect the commons of our Communication Space!
David McGavock

The Myth Of AI | Edge.org - 1 views

edge.org/...the-myth-of-ai

augmentation neuroscience myth Jaron Lanier

shared by David McGavock on 17 Nov 14 - No Cached
  • what I'm proposing is that if AI was a real thing, then it probably would be less of a threat to us than it is as a fake thing.
  • it adds a layer of religious thinking to what otherwise should be a technical field.
  • we can talk about pattern classification.
  • ...38 more annotations...
  • But when you add to it this religious narrative that's a version of the Frankenstein myth, where you say well, but these things are all leading to a creation of life, and this life will be superior to us and will be dangerous
  • I'm going to go through a couple of layers of how the mythology does harm.
  • this overall atmosphere of accepting the algorithms as doing a lot more than they do. In the case of Netflix, the recommendation engine is serving to distract you from the fact that there's not much choice anyway.
  • If a program tells you, well, this is how things are, this is who you are, this is what you like, or this is what you should do, we have a tendency to accept that.
  • our economy has shifted to what I call a surveillance economy, but let's say an economy where algorithms guide people a lot, we have this very odd situation where you have these algorithms that rely on big data in order to figure out who you should date, who you should sleep with, what music you should listen to, what books you should read, and on and on and on
  • people often accept that
  • all this overpromising that AIs will be about to do this or that. It might be to become fully autonomous driving vehicles instead of only partially autonomous, or it might be being able to fully have a conversation as opposed to only having a useful part of a conversation to help you interface with the device.
  • other cases where the recommendation engine is not serving that function, because there is a lot of choice, and yet there's still no evidence that the recommendations are particularly good.
  • there's no way to tell where the border is between measurement and manipulation in these systems.
  • if the preponderance of those people have grown up in the system and are responding to whatever choices it gave them, there's not enough new data coming into it for even the most ideal or intelligent recommendation engine to do anything meaningful.
  • it simply turns into a system that measures which manipulations work, as opposed to which ones don't work, which is very different from a virginal and empirically careful system that's trying to tell what recommendations would work had it not intervened
  • What's not clear is where the boundary is.
  • If you ask: is a recommendation engine like Amazon more manipulative, or more of a legitimate measurement device? There's no way to know.
  • we don't know to what degree they're measurement versus manipulation.
  • If people are deciding what books to read based on a momentum within the recommendation engine that isn't going back to a virgin population, that hasn't been manipulated, then the whole thing is spun out of control and doesn't mean anything anymore
  • not so much a rise of evil as a rise of nonsense.
  • because of the mythology about AI, the services are presented as though they are these mystical, magical personas. IBM makes a dramatic case that they've created this entity that they call different things at different times—Deep Blue and so forth.
  • Cortana or a Siri
  • This pattern—of AI only working when there's what we call big data, but then using big data in order to not pay large numbers of people who are contributing—is a rising trend in our civilization, which is totally non-sustainable
    • David McGavock
      David McGavock on 17 Nov 14
       
      Key relationship between automation of tasks, downsides, and expectation for AI
  • If you talk about AI as a set of techniques, as a field of study in mathematics or engineering, it brings benefits. If we talk about AI as a mythology of creating a post-human species, it creates a series of problems that I've just gone over, which include acceptance of bad user interfaces, where you can't tell if you're being manipulated or not, and everything is ambiguous.
  • It creates incompetence, because you don't know whether recommendations are coming from anything real or just self-fulfilling prophecies from a manipulative system that spun off on its own, and economic negativity, because you're gradually pulling formal economic benefits away from the people who supply the data that makes the scheme work.
  • I'm going to give you two scenarios.
  • let's suppose somebody comes up with a way to 3-D print a little assassination drone that can go buzz around and kill somebody. Let's suppose that these are cheap to make.
  • Having said all that, let's address directly this problem of whether AI is going to destroy civilization and people, and take over the planet and everything.
  • some disaffected teenagers, or terrorists, or whoever start making a bunch of them, and they go out and start killing people randomly
  • This idea that some lab somewhere is making these autonomous algorithms that can take over the world is a way of avoiding the profoundly uncomfortable political problem, which is that if there's some actuator that can do harm, we have to figure out some way that people don't do harm with it.
    • David McGavock
      David McGavock on 17 Nov 14
       
      Another key - focus on the actuator, not the agent that exploits it.
  • the part that causes the problem is the actuator. It's the interface to physicality
  • not so much whether it's a bunch of teenagers or terrorists behind it or some AI
  • The sad fact is that, as a society, we have to do something to not have little killer drones proliferate.
  • What we don't have to worry about is the AI algorithm running them, because that's speculative.
  • another one where there's so-called artificial intelligence, some kind of big data scheme, that's doing exactly the same thing, that is self-directed and taking over 3-D printers, and sending these things off to kill people.
  • There's a whole other problem area that has to do with neuroscience, where if we pretend we understand things before we do, we do damage to science,
  • You have to be able to accept what your ignorances are in order to do good science. To reject your own ignorance just casts you into a silly state where you're a lesser scientist.
  • To my mind, the mythology around AI is a re-creation of some of the traditional ideas about religion, but applied to the technical world.
  • The notion of this particular threshold—which is sometimes called the singularity, or super-intelligence, or all sorts of different terms in different periods—is similar to divinity.
  • In the history of organized religion, it's often been the case that people have been disempowered precisely to serve what were perceived to be the needs of some deity or another, where in fact what they were doing was supporting an elite class that was the priesthood for that deity.
    • David McGavock
      David McGavock on 17 Nov 14
       
      Technical priesthood.
  • If AI means this mythology of this new creature we're creating, then it's just a stupid mess that's confusing everybody, and harming the future of the economy. If what we're talking about is a set of algorithms and actuators that we can improve and apply in useful ways, then I'm very interested, and I'm very much a participant in the community that's improving those things.
  • A lot of people in the religious world are just great, and I respect and like them. That goes hand-in-hand with my feeling that some of the mythology in big religion still leads us into trouble that we impose on ourselves and don't need.
  • David McGavock on 17 Nov 14
     
    "The idea that computers are people has a long and storied history. It goes back to the very origins of computers, and even from before. There's always been a question about whether a program is something alive or not since it intrinsically has some kind of autonomy at the very least, or it wouldn't be a program. There has been a domineering subculture-that's been the most wealthy, prolific, and influential subculture in the technical world-that for a long time has not only promoted the idea that there's an equivalence between algorithms and life, and certain algorithms and people, but a historical determinism that we're inevitably making computers that will be smarter and better than us and will take over from us."
David McGavock

A New Culture of Learning | Social Media Classroom - 3 views

socialmediaclassroom.com/...a-new-culture-learning

culture learning mistakes WIERD JSB mindamp learning culture

shared by David McGavock on 21 May 11 - No Cached
  • A New Culture of Learning
  • what strikes me is the second part of the title Cultivating the Imagination for a World of Constant Change.
  • I love seeing a child's imagination being captivated
  • ...32 more annotations...
  • I am challenged by many who see social-media as the next project rather than a shift in the paradigm of existence.
  • I believe that dissatisfaction with the factory model of school, along with the growing number, ubiquity, and accessiblity, of tools (for connection, collaboration and creation) will tip the balance toward new models and cultures of learning.
  • I love to see teachers and student figuring out how to use technology together; asking questions, trying stuff, "messing around" as Brown would say.
  • The Social Life of Information by John Seely Brown and Paul Duguid
  • Can I just say that it is amazingly prescient and still relevant even a decade later? I'm interested in comparing it to his more recent book in discussion here.
  • Howard reponds with an idea on assignments (and the power of assignments). I found the questions (or in other courses the assignements) to really good at directing my brain. 1.Read the question 2. go to sleep 3. stare at the ceiling for hours 4. brush teeth 5. eurekaThese methods are also used in action learning and action research
  • I'm reading the book "the myth of management" (which is not related to learning), and I found out that finding "faults" is actually a dirty consultant trick, as it expands the window through which you can sell your solution. I hacked that idea and replaced solution with learning.
  •  The role of the instructor in balancing freedom and structure -- setting enough structure so that the unlimited freedom doesn't become vertiginous and overwhelming -- resonates with my experiences with Rheingold U. so far. Assignments seem to help, but they can't be too onerous.
  •  Very nice article comparing Thomas/JSB ideas to John Dewey's:
  •  http://charlestkerchner.com/wp-content/uploads/2011/04/DeweyThomas.pdf
  • Ernst - I am particularly interested in Action Research of the "plan, act, observe,reflect" variety where we never really arrive at conclusions but start again in a new cycle of teaching and learning.
  • that idea of teaching people to fail is very important - I notice that this is acceptable very often in business especially in the contexts of 'start-ups' but unacceptable in most schools. Here in Europe, the work of the Finnish educationalist Pasi Sahlberg gets a lot of attention - one of his motifs is learning to be wrong.
  • Knowing who to listen to in the 'noise' of all the information overload is important - I'm looking forward to our continuing review of how we all re-imagine that new culture of learning.
  • Can You, and if yes, How,  Change a system from within? This is one of the key issues of our time. Learning, PLN, Community support structures, activism, Social media, cooperation.. are all part of that... so it is realIy at the heart of our SMC Alumni topics. 
  • I would suggest, we should be dialoguing in depth about the question, and how to formulate it, before jumping to solutions...
  • The work of social and developmental psychologist, Carol Dweck can inform our discussion about failure,
  • Her book, Mindset, posits that some students have growth mindsets and some have fixed mindsets.
  • Ernst, I adore your description of problem-solving (especially the enumerated part). Downtime is essential for processing information and I agree, even subtle shifts within group dynamics can cause huge internal vistas to open up.
  • The idea of structuring for failure in itself is a whole new take on creative thinking.
  • Schools reward success.  That's our measurement system, our "leaderboard".  Some winners at school go on to run schools. Schools punish failure deeply, systematically.  Remember dunce caps? So taking failure as a good thing is, at the very least, weird and defamiliarizing!
  • Chapter Two of Thomas and Seely-Brown's book  is so short - just five pages - They conclude with the idea ....the point is to embrace what we don't know, come up with better questions about it, and continue asking those questions in order to learn more and more, both incrementally and exponentially. I wonder do the authors want us to reflect repeatedly on the contents of the chapter given its brevity.
  • is it certain type of people who fail, who are subsequently allowed to start again?
  • book's first chapter
  • Two key elements: network ("a massive information network that provides almost unlimited access and resources", sounds like mobile + Web) and environments ("bounded and structural") (19).
  • what do you make of the examples they present?  What do they suggest about the theory they exemplify?
  • ohn Seely Brown is particularly interested in the idea of tinkering. He suggests one of the best 'tinkering' models is the architectural studio -- the place where students work together trying to solve each others' problems, and a mentor or master can also take part in open criticism. Find out why this is a model for us all.  http://www.abc.net.au/rn/bydesign/stories/2011/3147776.htm
  • The first chapter is a pretty rosy, and might I say westernized, view of the power of Internet access + play in learning.* It manages to enlighten and engage using a few choice narratives (I imagine we will get to the power of those at some point in the book, too) and sets us up for the rationale to come.
  • * I'm looking for some reaction with regards to that comment
  • based on WEIRD (Western Educated Industrialized Rich Democratic) concepts. (An aside, here's a truly wonderful post unpacking of the idea of WEIRD in social science research.)
  • I can only talk for myself but there are contradictions between what I think is best to do with the students I teach and what I actually do. This "living contradiction" is something I consider in my own studies - I noticed a Tweet last night from Howard: Online and blended learning is NOT about automating delivery of knowledge, but about encouraging peer learning, inquiry, discourse.
  • The sentence I liked most from Chapter One reads "One of the metaphors we adopt to describe this process is cultivation. A farmer for example takes the nearly unlimited resources of sunlight, wind, water, earth, and biology and consolidates them into the bounded and structured environment of garden or farm. We see a new culture of learning as a similar kind of process - but cultivating minds instead of plants"
  • Everyone - you may have seen the piece below - if not please take 12 minutes to view it - it fits nicely with our current discussion
  • David McGavock on 21 May 11
     
    This is the first capture of the conversation from the thread "A New Culture of Learning". We'll see how this goes
  • Howard Rheingold on 21 May 11
     
    I read the book almost cover to cover. It led me to think more about pushing what I've been doing closer to pure p2p. One of the co-learners in the latest Mindamp told me about "paragogy." That one is worth bookmarking.
David McGavock

Pop-Up University | DMLcentral - 0 views

dmlcentral.net/...pop-university

rheingold university pop up Cooperation learning culture

shared by David McGavock on 01 May 11 - No Cached
  • Networked social learning is most effective and truly magical when students who don't know one another one day start scouring the world for knowledge to bestow on each other the next day and spend their time contributing to each other's learning. It’s the unpredictable synergy that can happen when a group of strangers assembles online to learn together.
  • But the knowledge-sharing gift economy is a human creation – one that can't be predicted, commanded, or summoned but has to be nurtured, cultivated, and facilitated.
  • Michael Wesch's "A Portal to Media Literacy" made clear to me something I had been feeling my way toward -- a pedagogy that is more about collaboration than technology, in which the technology is central, but is a vehicle for co-discovery.
  • ...7 more annotations...
  • Henry Jenkins taught me about participatory culture and the importance of teaching skills of credibility (what I call "crap detection") transmedia storytelling, collective intelligence, and network smarts.
  • I learned from Mizuko Ito that young people use digital skills and knowledge exchange as social currency in fan cultures – using social media to learn about things that really matter to them, such as multiplayer games, Pokemon, mashups and fan videos.
  • Cathy Davidson's bold experiments in peer-to-peer learning, including "crowd-sourcing grading," gave me a working model to emulate and appropriate.
  • it only made sense to begin by mobilizing social media skills in parallel with introducing the subject matter. Teaching about social media doesn't make a lot of sense unless students can use social media in their learning
  • The choice to participate in creating and not just consuming the culture in which we live is crucial, and presenting that choice in terms that can engage students is critical.
  • The first acts on the first day of class are crucial – what chaos theorists call "sensitive dependence on initial conditions."
  • As one of my mentors, Lisa Kimball, taught me, a good online facilitator pays heed to the containers, but also thinks in terms of tempo. I knew the importance of engaging as many of the co-learners as possible in the first live session and the first weekend of forum and blog discussion.
  • David McGavock on 01 May 11
     
    If Rheingold U, my current experiment in cultivating wholly online, multimedia, unaccredited, for-not-much-pay learning communities, originally germinated out of fun and impulse, the next stage was more scary-serious. As soon as I took people's money and started telling the world about my intentions, I was obligated as well as motivated to make it work - not just to deliver a rich set of learning materials, but to conjure actual social learning magic
David McGavock

Connectivism: A learning theory for - 0 views

www.itdl.org/...article01.htm

Connectivism learning theory siemens Personal learning network learning culture

shared by David McGavock on 03 Jul 14 - Cached
    • David McGavock
      David McGavock on 03 Jul 14
       
      Learning is more active? It appears that communities networks and the like require engagement - meaning active
  • learning
  • Driscoll (2000) defines learning as “a persisting change in human performance or performance potential…[which] must come about as a result of the learner’s experience and interaction with the world” (p.11).
  • ...12 more annotations...
  • How people work and function is altered when new tools are utilized.
    • David McGavock
      David McGavock on 03 Jul 14
       
      Central to mindamplier idea
  • The pipe is more important than the content within the pipe. Our ability to learn what we need for tomorrow is more important than what we know today.
    • David McGavock
      David McGavock on 03 Jul 14
       
      Our ability to learn - Process more than product.
  • An organizations ability to foster, nurture, and synthesize the impacts of varying views of information is critical to knowledge economy survival. Speed of “idea to implementation” is also improved in a systems view of learning.
  • Design of learning environments
    • David McGavock
      David McGavock on 03 Jul 14
       
      This is of special interest to me. Where the rubber meets the road.
  • The need to evaluate the worthiness of learning something is a meta-skill that is applied before learning itself begins.
  • These theories do not address learning that occurs outside of people (i.e. learning that is stored and manipulated by technology).
    • David McGavock
      David McGavock on 03 Jul 14
       
      While I accept that knowledge is organized and stored outside the "person". Learning is a distinctly internal process methinks. IOW - I don't get his point
  • Learning is a process that occurs within nebulous environments of shifting core elements – not entirely under the control of the individual.
    • David McGavock
      David McGavock on 03 Jul 14
       
      In the way that consciousness is an emergent property of the flow of energy within system of cells, neurons - Siemens idea of "learning" is the process through which individuals, ideas, and networks emerge (manifest). I don't know if this is what he's getting at but perhaps?
  • Capacity to know more is more critical than what is currently known
    • David McGavock
      David McGavock on 03 Jul 14
       
      Seems to me that what currently is known is equally important in that it guides us, grounds us, and forms the basis for our capacity. Wisdom or knowledge. Dichotomous.
  • Behaviorism, cognitivism, and constructivism are the three broad learning theories most often utilized in the creation of instructional environments. These theories, however, were developed in a time when learning was not impacted through technology.
  • Learning needs and theories that describe learning principles and processes, should be reflective of underlying social environments
  • The “half-life of knowledge” is the time span from when knowledge is gained to when it becomes obsolete.
  • To combat the shrinking half-life of knowledge, organizations have been forced to develop new methods of deploying instruction.”
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