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Aaron Davis

IRIDESCENT: 5 Signals that an "Educational Game" Isn't Really a Game - 0 views

  • How can you spot the fake games masquerading as educational games?
  • 1. When walking through a demo of the game, the game designer stops to say "And this part is where the learning occurs."
  • 2. "And then to add the motivational element, we added a game component to the lesson."
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  • 3. Excessive use of the word "fun" in describing why the game works.
  • 4. Extensive in-game tutorials, as videos or text.
  • 5. Multiple choice items in the game that have clear right answers.
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    An interesting discussion of game-based learning and the false attempts to 'make games' for education.
darren mccarty

Bubbabrain 10 Million Game Challenge - 1 views

K-12 Challenge for students. Go to http://www.bubbabrain.com - click on the word challenges- select your challenge- select your state-pick a game- hit play.

education web2.0 technology collaboration learning

started by darren mccarty on 19 Nov 11 no follow-up yet
Aaron Davis

Facebook's war on free will | Technology | The Guardian - 0 views

  • Though Facebook will occasionally talk about the transparency of governments and corporations, what it really wants to advance is the transparency of individuals – or what it has called, at various moments, “radical transparency” or “ultimate transparency”. The theory holds that the sunshine of sharing our intimate details will disinfect the moral mess of our lives. With the looming threat that our embarrassing information will be broadcast, we’ll behave better. And perhaps the ubiquity of incriminating photos and damning revelations will prod us to become more tolerant of one another’s sins. “The days of you having a different image for your work friends or co-workers and for the other people you know are probably coming to an end pretty quickly,” Zuckerberg has said. “Having two identities for yourself is an example of a lack of integrity.”
  • The essence of the algorithm is entirely uncomplicated. The textbooks compare them to recipes – a series of precise steps that can be followed mindlessly. This is different from equations, which have one correct result. Algorithms merely capture the process for solving a problem and say nothing about where those steps ultimately lead.
  • For the first decades of computing, the term “algorithm” wasn’t much mentioned. But as computer science departments began sprouting across campuses in the 60s, the term acquired a new cachet. Its vogue was the product of status anxiety. Programmers, especially in the academy, were anxious to show that they weren’t mere technicians. They began to describe their work as algorithmic, in part because it tied them to one of the greatest of all mathematicians – the Persian polymath Muhammad ibn Musa al-Khwarizmi, or as he was known in Latin, Algoritmi. During the 12th century, translations of al-Khwarizmi introduced Arabic numerals to the west; his treatises pioneered algebra and trigonometry. By describing the algorithm as the fundamental element of programming, the computer scientists were attaching themselves to a grand history. It was a savvy piece of name-dropping: See, we’re not arriviste, we’re working with abstractions and theories, just like the mathematicians!
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  • The algorithm may be the essence of computer science – but it’s not precisely a scientific concept. An algorithm is a system, like plumbing or a military chain of command. It takes knowhow, calculation and creativity to make a system work properly. But some systems, like some armies, are much more reliable than others. A system is a human artefact, not a mathematical truism. The origins of the algorithm are unmistakably human, but human fallibility isn’t a quality that we associate with it.
  • Nobody better articulates the modern faith in engineering’s power to transform society than Zuckerberg. He told a group of software developers, “You know, I’m an engineer, and I think a key part of the engineering mindset is this hope and this belief that you can take any system that’s out there and make it much, much better than it is today. Anything, whether it’s hardware or software, a company, a developer ecosystem – you can take anything and make it much, much better.” The world will improve, if only Zuckerberg’s reason can prevail – and it will.
  • Data, like victims of torture, tells its interrogator what it wants to hear.
  • Very soon, they will guide self-driving cars and pinpoint cancers growing in our innards. But to do all these things, algorithms are constantly taking our measure. They make decisions about us and on our behalf. The problem is that when we outsource thinking to machines, we are really outsourcing thinking to the organisations that run the machines.
  • The engineering mindset has little patience for the fetishisation of words and images, for the mystique of art, for moral complexity or emotional expression. It views humans as data, components of systems, abstractions. That’s why Facebook has so few qualms about performing rampant experiments on its users. The whole effort is to make human beings predictable – to anticipate their behaviour, which makes them easier to manipulate. With this sort of cold-blooded thinking, so divorced from the contingency and mystery of human life, it’s easy to see how long-standing values begin to seem like an annoyance – why a concept such as privacy would carry so little weight in the engineer’s calculus, why the inefficiencies of publishing and journalism seem so imminently disruptable
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    via Aaron Davis
Ian Guest

Hemingway Editor - 5 views

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    Hemingway makes your writing bold and clear. Hemingway highlights long, complex sentences and common errors; if you see a yellow highlight, shorten the sentence or split it. If you see a red highlight, your sentence is so dense and complicated that your readers will get lost trying to follow its meandering, splitting logic. Adverbs are helpfully shown in blue. Get rid of them and pick verbs with force instead. You can utilize a shorter word in place of a purple one. Mouse over it for hints. Phrases in green show passive voice.
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    Type or paste in your text and have Hemingway automatically analyse then highlight areas which could be improved.
officeerror

Top features of Office 2016 - office Setup - 0 views

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    We at Office error.com give you the professional help regarding any MS office error of any version. Contact us for any error that you face while using, installing or reinstalling Microsoft's Office.
Kathleen Morris

Amazing Posts: 50 Things Everyone Should Know - 17 views

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    A fun post with trivia for students (or teachers).
ligaciputra25

Ligaciputra - Situs game online terbaik dan terpercaya - 0 views

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    Rekomendasi situs gacor terkini. wd berapapun pasti bayar lunas. Pelayanan terbaik 24 jam setiap hari
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