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Rob Rankin

The Innovators 12: Stephen Heppell - 5 views

  • Stephen Heppell: "I guess I've sort of answered that, but let me say this in closing. We seem to have an education system built on 'met before' practice. Children in the exam room hoping there will be no surprises, teachers outside hoping they have prepared the children for everything. In practice we are in a world where we have not met before any of the current challenges: global warming, economic collapse, etc. And when these unexpected things happen, all folk seem to be able to do is carry on as before: the banks paying bonuses, people burning fuel etc. "To solve the 21st century's problems will take all our ingenuity, innovation, creativity and delight. And will need every single learner. The only certainty is that to carry on doing the 'old' way would be a reckless and foolish gamble. That is why I can be so certain that learning will and can change...
Shelly Terrell

Jane McGonigal: Gaming can make a better world | Video on TED.com - 4 views

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    "Games like World of Warcraft give players the means to save worlds, and incentive to learn the habits of heroes. What if we could harness this gamer power to solve real-world problems? Jane McGonigal says we can, and explains how."
Shane Roberts

Massively Productive Massively Productive » - 6 views

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    I'm a fan of pretty much anything Dean Groom is involved in. If I don't always agree it at least encourages critical thinking.
Chris Betcher

HowStuffWorks "How Gamification Works" - 6 views

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    "Gamification" describes turning real-world situations into games. Gamification is a neologism -- a newly invented term that's becoming commonly used. The word gamification was likely born in the realm of casual conversation to convey the idea of turning something into a game. People like entrepreneur and author Gabe Zichermann, though, have given gamification its own unique definition. Zichermann, a respected authority on gamification and its applications, defines the term as "the process of using game thinking and mechanics to engage audiences and solve problems." In short, he describes gamification as "non-fiction gaming."
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    In his 2010 book "Game-Based Marketing," co-authored with writer Joselin Linder, Zichermann defines a related term he coined: funware.
Styen Mark

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Styen Mark

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started by Styen Mark on 02 Feb 16 no follow-up yet
Styen Mark

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justquestionans

Academic Writing Services | Just Question Answer - 0 views

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    Get help for Academic Writing Services | Just Question Answer. We provide assignment, homework, discussions and case studies help for all subjects of All Universities for Session 2017-2018.
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!
  • ...5 more annotations...
  • 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
unfoldu

Online Solution for Study Material | Learn Mathematics Online - 0 views

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evahutch31

Decoding the Enigma of Inorganic Chemistry: Your Essential Assignment Companion - 1 views

Delving into the world of inorganic chemistry often feels like deciphering a cryptic code that holds the secrets of matter's foundation. It's both enthralling and demanding, prompting students to s...

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started by evahutch31 on 02 Dec 23 no follow-up yet
evahutch31

Decoding the Enigma of Inorganic Chemistry: Your Essential Assignment Companion - 3 views

Delving into the world of inorganic chemistry often feels like deciphering a cryptic code that holds the secrets of matter's foundation. It's both enthralling and demanding, prompting students to s...

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started by evahutch31 on 02 Dec 23 no follow-up yet
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