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Lo scaffale di Howard Rheingold su Delicius sul tema delle mappe mentali. Sito personale http://www.rheingold.com/

Filmed Feb 2004 * Posted Apr 2007 * TED2004 "Al Seckel, a cognitive neuroscientist, explores the perceptual illusions that fool our brains. Loads of eye tricks help him prove that not only are we easily fooled, we kind of like it. Cognitive neuroscientist Al Seckel explores how eye tricks can reveal the way the brain processes visual information -- or fails to do so. Among his other accomplishments: He co-created the Darwin Fish"

From http://www.stanford.edu/~efs/693b/TED1.html : "1. length: 14:30 2. overall speed (WPM): 117 3. vocabulary profile: 3K-92.3%; 5K-95%; 10K-96.6%; OL-3.2% 4. accent: US standard 5. comments: there are times when the speaker is quiet and the audience is viewing--actual speech rate is higher 6. Al Seckel, a cognitive neuroscientist, explores the perceptual illusions that fool our brains. Loads of eye tricks help him prove that not only are we easily fooled, we kind of like it."

"...Teachable moments As is often the case in awkward cases - where the system does not quite work as intended - a few things can be drawn from this episode. YouTube's Content ID system - http://youtube-global.blogspot.co.uk/2012/10/improving-content-id.html - is, in fact, intended to act as a buffer between the sometimes conflicting interests of content holders and uploaders: rather than forcing content holders to either ignore infringing content or go straight to a DMCA takedown notice. YouTube compares content that is uploaded to huge numbers of files of copyright works supplied by content owners, as do external agencies contracted to content owners. Content owners are able to set their own parameters, and determine what action YouTube should take - whether that is allowing, monetizing or blocking the content. One problem with this setup is that mechanical systems, while necessary to sort the vast amount of content being uploaded to YouTube and other video sharing sites every moment, are short on nuance. One can make assumptions and built rules based on quantifiable properties - if there are five minutes of rightsholder-owned content scattered across a 30 minute video, for example, that content is more likely to be being used for illustrative purposes in a review than uploaded in an infringing fashion - but ideas like fair use are generally decided by humans, and can only be approximated by mechanical systems. So, the rights holder, the agency pursuing monetization on the rights holder's behalf, the uploader and YouTube have connected but not identical interests. This may go some way to explaining the lacunae which took this example from a formality to a three-month epic. And, in this particular case, there are unusual elements - for example, the double claims, for first audiovisual and then visual content. The system is not intended to enable this kind of double jeopardy

Daniel Nye Griffiths descrive un caso reale di disputa sul copyright nel caso di un remix video pubblicato su YouTube. Da lì, spiega come funziona il sistema YouTube che individua possibili violazioni di copyright ma consente anche di contestare tali individuazioni. Ci sono anche link alle fonti dirette. Cosa buffa: il caso reale riguarda il copyright di una serie TV intitolata "The Twilight Zone", l'area crepuscolare tra giorno e notte. Sono capitata su questo articolo cercando di capire se un episodio del 1960 di questa serie era ancora sotto copyright oppure era caduto nel pubblico dominio. Prima avevo provato con lo strumento Digital Copyright Slider dell'associazione delle biblioteche US - http://librarycopyright.net/resources/digitalslider/ - che aveva cautamente risposto "Forse", con una nota che spiegava che dipendeva se il copyright originale era stato rinnovato, e link a lunghi e complessi documenti su come fare per scoprirlo... quindi sono tuttora nella "Twilight Zone" in merito.

"Overview - This course is offered by University of Zurich with Prof Paul-Olivier Dehaye and his students. This lesson plan is created by Dilrukshi Gamage (www.sdgamage.weebly.com) a MOOC student from this class due to few reasons. 1. Course started with giving some ideas, but now it appears no more ideas facilitated 2. Forums are closed and we have no clue of what to do 3. Students who take this course or any of coursera for the first time will be wondering and might lose the context of learning. 4. This lesson plan will guide us to collaboratively find solution to be in synchronized and learn from the time we invest in this. Introduction - The course named Teaching goes massive : new skills needed. It is our responsibility to find out what are the skills we need when we are teaching to a massive class.. or any class. Prof.Paul mentioned some experiments which we can do and previous forums already started and gone very well until suddenly closed everything. So let us drive this MOOC , learn to learn ourselves how to be organized and learn from each other. Anyone can suggest things but not like as forums it has to be much more effective. This document will contain how to participate and what can you do in contributing to expand your learning. Don't worry this will not stop suddenly as we the students are in charge. First step lets set some objectives so we can see did we achieve when we finish this course. Objectives - After you complete this course 1. You will learn how to learn yourselves to work without a real teacher or a lecturer. 2. You will learn to make communications and build a network where you can share and learn throughout your interest. 3. You will learn to work on inclusive projects in the same course ( by inclusive what I mean was anyone can work in one project or more) 4. You will gain knowledge on what skills you need and how to handle it when teaching is massive Where to contact - Please use the links provided in collaborating

vedi anche http://www.elearnspace.org/blog/2014/07/09/congrats-to-paul-olivier-dehaye-massiveteaching/ di George Siemens per un ottimo riassunto e altri link utili

e https://etherpad.mozilla.org/pr8ZtLXODg , il Pad dove Dehaye spiega il contesto della sua decisione. Se qualcuno ne ricancella il contenuto, usate la storia delle revisioni: funziona come PiratePad

Filmed Feb 2008 * Posted Nov 2008 * TED2008 "Biochemist Gregory Petsko makes a convincing argument that, in the next 50 years, we'll see an epidemic of neurological diseases, such as Alzheimer's, as the world population ages. His solution: more research into the brain and its functions. Gregory Petsko is a biochemist who studies the proteins of the body and their biochemical function. Working with Dagmar Ringe, he's doing pioneering work in the way we look at proteins and what they do."

Biochemistry is complicated. I've been assigned a paper on a topic I don't understand at all. How can I implement it without knowledge?

At the end of that year, I needed to prepare a report on biochemistry. Need I say that I understood nothing about it? I found this website to help me with it. The team completed my task on time and did it very well. In addition, their prices are quite reasonable. So I think that they will be able to help you.