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Anne Trethewey

David Weinberger: Too Big To Know | ... My heart's in Accra - 1 views

  • David warns, we still tend to think of knowledge in the ways we did when books had to sit on a single place on the shelf, when knowledge had a single, possible, right form, rather than multiple forms.
    • paul_size
       
      Interesting to see how the perceived information overload may be attributed to the way we tend to think of knowledge.
  • This doesn’t mean there are no facts – but it does mean that people are going to insist on being wrong.”
  • David is actually quite concerned about difference, and just how much difference we can tolerate and still interact and function.
  • ...20 more annotations...
  • He acknowledges that there’s a human tendency towards homophily, flocking together in groups united by race, gender, belief, socioeconomic status, etc.
  • This can lead to a serious challenge to public discourse – echo chambers that can solidify beliefs, making them more extreme and
  • polarized.
  • ooking for solutions and common ground by trying to get to the facts.
  • To have a good conversation, you need to have 99% similarity and 1% difference.
  • When data.gov released sets of government information, they didn’t clean or normalize it ahead of time – they released raw data. They concluded that it was better to put the data out there than to constrain themselves to information that was consistent and known, for the simple reason that this constraint would have slowed them down badly. Darwin would not have agreed – he spent seven years on one fact.
  • It may be the one approach that’s scaleable
  • why were old knowledge systems so fragile?
  • hese systems assumed knowledge was bounded, settled, orderly and proceeded step by step. But that’s not what knowledge feels like in the age of the internet. It feels unbounded, overwhelming, unsettled, messy, linked and governed by our interests. And those properties are the properties of what it means to be human in the world.
  • raditionally, we’ve handled this by breaking off a brain-sized chunk of the world and getting an expert to understand it. Once we’ve got that expert, we can stop asking questions: we simply ask the expert. Experts, and the credentials that create them, are stopping points. They’re points beyond which we don’t need to look any further.
    • Anne Trethewey
       
      Gatekeeping
  • it challenges our notion of what knowledge is, and introduces the uncomfortable question of how we navigate this new space
  • We tend to assume that knowledge gives us an accurate picture of the world, built up bit by bit, fact by fact. In acquiring knowledge, we nail down each piece with certainty. And we see knowledge as a product of filtering and winnowing – we move from perception to true perception, from a mob of opinion to true belief. Knowledge is about finding gold within the flux.
  • The manifestations of knowledge are at risk, and all it took was the touch of a hyperlink.
  • Links are a new form of punctuation
  • The internet is an environment that’s all about connection and our knowledge is picking up properties of the medium. Knowledge in this space is characterized by the fact that it’s “too much, messy, unsettled, and unstructured”.
  • We don’t just have a lot of information – the information is very messy
  • In a digital age, we simply make playlists. We end up with a mess of information, but it’s a rich and fertile mess.
  • Messiness is an essential feature of how we scale meaning.
  • Moynihan said “everyone is entitled to his own opinion, not his own facts”
  • releasing raw data and letting individuals and groups clean, analyze and share what they find
paul_size

May « 2014 « Too Big to Know - 0 views

shared by paul_size on 07 Sep 14 - No Cached
  • And one thing I’ve learned is that everything is interesting if looked at at the appropriate level of detail. Now, it used to be that you’d have to seek out places to plunge in over your head. But now, in the age of the Internets, all we have to do is stand still and the flood waters rise over our heads. We usually call this “information overload,” and we’re told to fear it. But I think that’s based on an old idea we need to get rid of. Here’s what I mean. So, you know Flickr, the photo sharing site? If you go there and search for photos tagged “vista,” you’ll get two million photos, more vistas than you could look at if you made it your full time job. If you go to Google and search for apple pie recipes, you’ll get over 1.3 million of them. Want to try them all out to find the best one. Not gonna happen. If you go to Google Images and search for “cute cats,” you’ll get over seven million photos of the most adorable kittens ever, as well as some ads and porn, of course, because Internet. So that’s two million vista photos. 1.3 million apple pie recipes. 7.6 million cute cat photos. We’re constantly warned about information overload, yet we never hear one word single word about the dangers of Vista Overload, Apple Pie Overload, or Cute Kitten overload. How have the media missed these overloads! It’s a scandal!
    • paul_size
       
      How's this for information overload.
  • For example, in the old days if you watched the daily half hour broadcast news or spent twenty minutes with a newspaper, you had done your civic duty: you had kept up with The News. Now we can see before our eyes what an illusion that sense of mastery was. There’s too much happening on our diverse and too-interesting planet to master it, and we can see it all happening within our browsers
  • t Wikipedia, the articles are often relatively short, but they typically have dozens or even hundreds of links. So rather than trying to get everything about, say, Shakespeare into a couple of thousand words, Wikipedia lets you click on links to other articles about what it mention — to Stratford-on-Avon, or iambic pentameter, or about the history of women in the theater.
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  • And it’s not just the quantity of information that makes true mastery impossible in the Age of the I
  • And just one more thing about these messy webs. They’re full of disagreement, contradiction, argument, differences in perspective. Just a few minutes on the Web reveals a fundamental truth: We don’t agree about anything. And we never will. My proof of that broad statement is all of human history. How do you master a field, even if you could define its edges, when the field doesn’t agree with itself?
    • traceymcgrath
       
      Maybe this means we need to be teaching totally different things - critical thinking, flexibility, the ability to evaluate and tolerate different ideas and influencing skills.
Brendon Willocks

4 Ways Technology is Changing How People Learn - 1 views

  •  
    I really like the Infographic on this page. 4 ways tech is changing how we learn: 1. We're moving from individual learning towards more collaborative learning 2. We're moving from more passive learning to active learning 3. Differentiated instruction and personalized learning are becoming more popular 4. We're becoming multitaskers more than ever before
  •  
    Thanks for sharing Brendon! (finally, I've managed to comment in Diigo... silly as it may seem, it took me a bit of time to figure this out!) Anyway, I also like the graphics on this poster. I've experienced first hand how tech is changing the way we learn and teach. At my school, we are being challenged all the time to redefine our teaching instead of just using technology as a substitution for traditional tools. I'm sure you're familiar with Dr. Ruben Puentedura''s SAMR model (Substitution, Augmentation, Modification and Redefinition). I did a video on how that model applies to my own teaching and learning. http://youtu.be/nMZ2kuQQ7Qc Cheers, Mari
paul_size

Learning in the Modern Social Workplace - 1 views

  •  
    I am Jane Hart, an independent Workplace Learning Advisor, Writer and international Speaker, and the Founder of the Centre for Learning & Performance Technologies. My blog, was recently rated TOP of the 50 most socially shared L&D blogs.
Charmian LORD

Lisa Nielsen: The Innovative Educator: #TLTechLive - What Worked + Conference Takeaways - 0 views

  • Teachers before students. When you roll out tech, ensure you give teachers an opportunity to learn about and use the tech, before you provide it to the students.  Don't require. Inspire. Do not require all teachers to accept and use the technology. Start with the teachers who are most excited. Ask teachers to write short and sensible proposals about how they want to use the tech. Empower those teachers to help guide others along.  If you deploy to grade levels, start with the older students. If you start with lower grades the upper grades will resent that they never had the opportunity to have access to the tech. If you start with the upper grades, the lower grades will be excited about what they have to look forward to. 
  • Follow him at @Mr_Casal to get great ideas about how social media can be used to build and strengthen the school community. For those concerned about getting administrators on board, he shared information on how to explain how social media meets the standards
    • Charmian LORD
       
      Lauren, you may like this part about social media being used to build and strengthen the school community :)
djplaner

The reusability paradox - WTF? | Damo's World - 4 views

  • Learners construct new knowledge, upon their own existing knowledge.  This is very individualised, and based on each learner’s past experiences, and ways of thinking.
    • djplaner
       
      From a NGL perspective, I'd say that what people know is a network of connections - both internally in their brain and with the tools and artifacts they use. To learn is to make a new connection with that existing network. It's easier to make that connection when what you are learning is closer to where you are. The more it has in common with you.
  • Learning designers have some tricks to help deal with such diversity, such as researching your cohort, conducting a needs analysis, and ultimately categorising learners and focusing on the majority.
    • djplaner
       
      A major flaw in this approach is that it assumes that people fall into these categories. You are this type of person, you have this learning style which ignores the true variety of people. By spending a lot of time categorising you feel like you're trying to understand complexity, but never do. The book "The End of Average" touches on some of the problems with this. This type of approach doesn't work if you see the world as "complex, dynamic, and consists of interdependent assemblages of diverse actors (human and not) connected via complex networks"
  • three approaches
    • djplaner
       
      Damien misses two additional possibilities here - Personalised learning - the use of Artifical Intelligence so that the unit of study is smart enough to respond to the individual student. But the problem with this approach is that it can generally only do this within a pre-defined body of knowledge. It doesn't work well with motivation and other forms of context - Personal learning - you put the agency back into the learner and allow them to be in charge of their progress through. The issue with this is that it assumes that the learner has the skill, knowlege and motivation to do this. It is also not a model that fits well with standard educational institutions. This links to the dual-layer pathways design aproach - http://www.edugeekjournal.com/2016/06/14/evolution-of-the-dual-layercustomizable-pathways-design/ And perhaps choral explanations and federation.
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  • meaningful for everyone
    • djplaner
       
      Or another option, help each learner make it individual to them.
  • These technologies become so complicated to use, that people simply don’t use them.
    • djplaner
       
      While I agree with this trend, I wonder whether there is anything that can be done about it. e.g. I think part of the problem here is the opaque nature of digital technology - https://davidtjones.wordpress.com/2016/06/28/the-nature-of-digital-technology-part-2/ Perhaps the problem with the workshop activity is that it's model is not readily apparent to the people who use it. The abstraction that has been made isn't communicated to the people using it, so they have to go through trial and error and generally fail. -- The Ben-Ari and Yeshno (2006) quote on the above link is good for this.
  • “the system does this, but I want to do that.”
    • djplaner
       
      I really like Kay & Goldberg's (1977) - that's right 1977 - 40 years - quote any attempt to specifically anticipate their needs in the design of the Dynabook would end in a disastrous feature-laden hodgepodge which would not be really suitable for anyone Reference on this page https://davidtjones.wordpress.com/2016/02/02/what-if-our-digital-technologies-were-protean-implications-for-computational-thinking-learning-and-teaching/
    • djplaner
       
      Perhaps that quote explains what students see when they see a course that relies on material that's been shared amongst various different STEM contexts When you can't connect something directly into your understanding and context, it becomes a feature-laden hodge podge that you just can't figure out how to connect to your practice and understanding.
  • What if a technology is so specific, it’s designed for just one person – yourself?
    • djplaner
       
      Which comes back to the option of providing the individual with the agency to make the learning personal to them. Giving them the agency to make connections into their networks. Of course, this approach isn't just some pancea. It has it's own challenges (especially when trying to concieve of it within existing mindsets/institutions) and also it's own weaknesses. The question is how to overcome those weaknesses and challenges in meaningful ways that addresses the resuability paradox.
  •  
    Damien is a ed developer at CQU. In this post he struggles with some of the common problems faced by that type of position and tries to understand them in the context of the reusability paradox. Some of this is inspired by my own thinking, hence it resonates with me. It also resonates with me because I see the possibility of a network perspective offering a useful way to look at these problems. I'm hoping to illustrate some of this via annotations. Whether this will be useful to you is another matter entirely. A lot of this is thinking out loud by both Damien and myself.
ollie1

Chapter 3. A Typology of Social Forms for Learning - 5 views

  • In brief, the evolved form illustrates three kinds of aggregation of learners in either formal or informal learning: groups, networks, and sets. We originally conflated sets with a further emergent entity that is not a social form as such, which we have referred to as the collective
  • the tutor can respond directly to questions, adapt teaching to the learner’s stated or implied reactions, and the learner can choose whether to intervene in the course of his or her own tuition without contest with others (Dron, 2007
  • one-to-one dialogue represents an “ideal” form of guided learning, at least where there is a teacher who knows more than the learner and is able to apply methods and techniques to help that learner to learn
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  • 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.
    • djplaner
       
      For me, this category is where all of Riel and Polin's (2004) types of community fit. The notion of community (as per Riel and Polin) doesn't capture the full set of possibilities that are observable on in netgl
  • 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).
    • djplaner
       
      In my context "as teacher" - helping other academics learn how to learn online - the Set may be one of the missing considerations in staff development. i.e. all of those people teaching huge first year university courses could be said to belong to a set. Yet there is - at least at my institution - very little sharing/engagement/learning within this set. Most of it occurs within their group (e.g. the school of education) even though chances are that someone teaching a large first year education course has more to learn from someone teaching a large first year accounting course than from someone teaching a Master of Education course with 12 people in it.
  • 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.
    • djplaner
       
      The design of the technology you use can be very important. Trying to create network learning with a group learning tool (e.g. Moodle) can be difficult. One of the reasons why this course has moved to using an open blog, rather than Moodle.
  •  
    Chapter from the Dron and Anderson book that expands upon the "group, networks and collectives" paper (by Dron and Anderson) from week 3
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