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Roland Gesthuizen

5 Goals I Set Before Attending a Conference | SOCIAL IMPRESSIONS - 4 views

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    "Every time I attend a conference, I give myself a list of goals to meet. This ensures that I spend my time wisely and that my attendance isn't in vain. If I meet these goals, I will be more likely to attend the conference the following year. Below are a list of my goals that I make sure to meet every time my company sends me to a conference."
Roland Gesthuizen

InventNow.org - World - 0 views

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    "Register as an InventNow.org Inventor and get access to all the great stuff at this site. You'll be able to share your inventions, get patents, comment on other inventions and much more! "
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    Interesting site for students to share inventions and ideas.
Roland Gesthuizen

AITSL - Australian Institute for Teaching and School Leadership - 3 views

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    The Australian Institute for Teaching and School Leadership (AITSL) came into being on 1 January 2010. The Commonwealth Minister for Education has outlined MCEECDYA's priorities for the Institute in a Letter of Expectation. AITSL provides national leadership for the Commonwealth, state and territory governments in promoting excellence in the profession of teaching and school leadership.  
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    "AITSL provides national leadership for the Commonwealth, state and territory governments in promoting excellence in the profession of teaching and school leadership. AITSL has responsibility for: * rigorous national professional standards * fostering and driving high quality professional development for teachers and school leaders * working collaboratively across jurisdictions and engaging with key professional bodies. "
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    Australian group with teaching and leadership focus.
Rhondda Powling

15 Interesting Ways to use Web Conferencing in ... - "Google Docs" - 3 views

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    More tips from Tom Barrett
Kerry J

What? | The Secret Revolution - 4 views

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    Perhaps you've attended some high brow conference that produces 10 bullet points on "How to Change Education"- and not much happens. Maybe you work an at institution that restricts you from using a certain technology or forces you to use another. And while the image of a revolutionary edupunk is charming, most of us are not ready to burn down our organizations- we believe in their purpose. Despair not! There is something out there- an approach of creatively side stepping what limits us, to exploiting what we are forced to use in new ways, to sneak innovations in the back window that don't rock the house.
Tony Searl

What is data science? - O'Reilly Radar - 1 views

  • how to use data effectively -- not just their own data, but all the data that's available and relevant
  • Increased storage capacity demands increased sophistication in the analysis and use of that data
  • Once you've parsed the data, you can start thinking about the quality of your data
  • ...20 more annotations...
  • It's usually impossible to get "better" data, and you have no alternative but to work with the data at hand
  • The most meaningful definition I've heard: "big data" is when the size of the data itself becomes part of the problem
  • Precision has an allure, but in most data-driven applications outside of finance, that allure is deceptive. Most data analysis is comparative:
  • Storing data is only part of building a data platform, though. Data is only useful if you can do something with it, and enormous datasets present computational problems
  • Hadoop has been instrumental in enabling "agile" data analysis. In software development, "agile practices" are associated with faster product cycles, closer interaction between developers and consumers, and testing
  • Faster computations make it easier to test different assumptions, different datasets, and different algorithms
  • It's easer to consult with clients to figure out whether you're asking the right questions, and it's possible to pursue intriguing possibilities that you'd otherwise have to drop for lack of time.
  • Machine learning is another essential tool for the data scientist.
  • According to Mike Driscoll (@dataspora), statistics is the "grammar of data science." It is crucial to "making data speak coherently."
  • Data science isn't just about the existence of data, or making guesses about what that data might mean; it's about testing hypotheses and making sure that the conclusions you're drawing from the data are valid.
  • The problem with most data analysis algorithms is that they generate a set of numbers. To understand what the numbers mean, the stories they are really telling, you need to generate a graph
  • Visualization is crucial to each stage of the data scientist
  • Visualization is also frequently the first step in analysis
  • Casey Reas' and Ben Fry's Processing is the state of the art, particularly if you need to create animations that show how things change over time
  • Making data tell its story isn't just a matter of presenting results; it involves making connections, then going back to other data sources to verify them.
  • Physicists have a strong mathematical background, computing skills, and come from a discipline in which survival depends on getting the most from the data. They have to think about the big picture, the big problem. When you've just spent a lot of grant money generating data, you can't just throw the data out if it isn't as clean as you'd like. You have to make it tell its story. You need some creativity for when the story the data is telling isn't what you think it's telling.
  • It was an agile, flexible process that built toward its goal incrementally, rather than tackling a huge mountain of data all at once.
  • we're entering the era of products that are built on data.
  • We don't yet know what those products are, but we do know that the winners will be the people, and the companies, that find those products.
  • They can think outside the box to come up with new ways to view the problem, or to work with very broadly defined problems: "here's a lot of data, what can you make from it?"
Ruth Howard

Symbionomics: The Film | Stories of the new economy - 2 views

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    The New economy and hints as to the changes coming in organisations and I think especially education
Rhondda Powling

OpenStreetMap - 3 views

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    OpenStreetMap is an editable map of the whole world allowing you to view, edit and use geographical data in a collaborative way from anywhere on Earth. Embed the map in your website.
Kerry J

3D Communications | Flickr - Photo Sharing! - 4 views

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    From my presentation due to start at 11am ACST for Sarah Stewart of Otaga Polytech in New Zealand - come one, come all! http://tinyurl.com/2u7h9pe
Tony Searl

http://www.booz.com/media/uploads/Rise_Of_Generation_C.pdf - 1 views

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    They are Generation C-connected, communicating, content-centric, computerized, community-oriented, always clicking. As a rule, they were born after 1990 and lived their adolescent years after 2000. In the developed world, Generation C encompasses everyone in this age group; in the BRIC countries, they are primarily urban and suburban. By 2020, they will make up 40 percent of the population in the U.S., Europe, and the BRIC countries, and 10 percent in the rest of the world-and by then, they will constitute the largest group of consumers worldwide.
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