Skip to main content

Home/ Ed Tech Crew/ Group items tagged academy

Rss Feed Group items tagged

John Pearce

iLearn Technology » Blog Archive » Hour of Code: 30 ways to get your students... - 1 views

  •  
    "Although Code.org is hosting the Hour of Code, you aren't limited to the resources you find there.  Below I've listed some of our favorite places to learn about coding at Anastasis Academy:"
Darrel Branson

Tortuga de la Academia - aprender a programar en el logotipo en su navegador free progr... - 1 views

  •  
    "The easy way to learn programming Turtle Academy makes it surprisingly easy to start creating amazing shapes using the LOGO language"
Roland Gesthuizen

Richard Dreyfuss reads the iTunes EULA | Reporters' Roundtable Podcast - CNET Blogs - 3 views

  •  
    "This Friday's Reporters' Roundtable is on a topic that vexes us all: why are end user license agreements and terms of service so long and convoluted? To get ourselves in the mood for this show, we asked CNET fan (and Academy Award winner) Richard Dreyfuss if he'd help us out by doing a dramatic reading of the Apple EULA. He said yes. So, without further ado, we present to you,"
kidsrkids

School Age Program | Kids 'R' Kids Before And After School Program In North Brunswick - 0 views

  •  
    Kids 'R' Kids Learning Academy before and after school program, the child can build upon their education outside of school by participating in various clubs and activities that challenge them in fun new ways
Ian Guest

12 years in the making: John Traxler's big 4 mLearning certainties - 3 views

  •  
    "Professor Traxler managed to distil his 12 years of expertise down to just four key "mLearning certainties". Since he's is the world's only professor of mLearning, who's to argue with him?"
Ian Guest

The National Academies Press - 1 views

shared by Ian Guest on 25 Aug 16 - Cached
  •  
    "Read and download 8,616 books for FREE!"
John Pearce

Humanising the classroom | Rob Sbaglia - 6 views

  •  
    I was preparing a presentation for differentiating mathematics using technology recently, and ended up editing a TED talk by Salman Khan. What struck me was Khan's idea that technology can humanise the classroom - which, as Khan acknowledges, is in some ways counterintuitive. Indeed, when I talk to teachers about technology in the classroom, they have visions of a very inhuman scenario, where students have their eyes glued to the screens, interacting with noone. I'd argue that many things that currently happen in traditional classrooms are dehumanizing; however, we don't see them this way because that's how classrooms have always been. I'd also argue that technology can humanize these experiences. Here are four things I've invested time and effort into that have humanized the classroom.
Camilla Elliott

Deeper Learning and 21st Century Skills - 10 views

  •  
    New report released August 2012 "Business and political leaders are increasingly asking schools to integrate development of skills such as problem solving, critical thinking, and collaboration into the teaching and learning of academic subjects. Collectively these skills are often referred to as "21st century skills" or "deeper learning." Education for Life and Work: Developing Transferable Knowledge and Skills in the 21st Century, a new report from the National Research Council, more clearly defines these terms and lays the groundwork for policy and further research in the field."
Ian Guest

Neale-Wade Academy blog - BYOB - "Bring Your Own Browser" - 0 views

  •  
    "Year 9 students have put together a proposal where they would like to make greater use of mobile devices for their learning. This has great potential - as they explain"
trish dower

Khan Academy - 0 views

  •  
    leran almost anything... for free Shared by Will Richardson and PLPconnectu
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
  •  
    via Aaron Davis
‹ Previous 21 - 38 of 38
Showing 20 items per page