Skip to main content

Home/ OZ/NZ educators/ Group items matching "goal" in title, tags, annotations or url

Group items matching
in title, tags, annotations or url

Sort By: Relevance | Date Filter: All | Bookmarks | Topics Simple Middle
Jess McCulloch

Education Week: Smart Thinking About Educational Technology - 0 views

  • Simplistic thinking is often applied to educational technology. Either it’s the greatest approach to education ever invented or it’s a waste of money.
  • weak arguments, such as “students are digital natives, so we should use more technology,”
  • Digital technology provides a powerful toolkit, offering unique advantages (such as bridging time and distance, democratizing access to information and services, and leveraging exponential increases in computer power) that have helped transform other organizations, especially those based on information and knowledge
  • ...4 more annotations...
  • Making schools more engaging and relevant (thereby helping reduce the disastrous high school dropout rates in many districts); • Providing high-quality schooling for all students (including English-language learners and students with disabilities); • Attracting, preparing, and retaining high-quality teachers; • Increasing support for children from parents and the community; and • Requiring accountability for results (including providing more information about schools to policymakers and the public). Educators need to consider how digital tools are used to help achieve each of these goals, because transforming schools requires attention to all six, not only one.
  • Because these changes happened so quickly, it is a challenge to think clearly about schools’ uses of digital tools.
  • By using computers, the Internet, and other digital technologies in smart ways, schools are beginning to be transformed into the more modern, effective, responsive institutions that society needs.
  • these modifications are not yet widely known or understood.
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?"
Chris Betcher

Cut your marking by a third. « Martin Jorgensen - 7 views

  • Screencasting doesn’t replace traditional feedback in the classroom, but what it does do is give you a powerful alternate method of reaching students where it can be most effective. Recorded asynchronous feedback allows the student to reflect on your feedback in their own time, at their own pace.
  • What I have quickly discovered however is that this restriction is a boon. It forces me to consider the most important, most achievable goals for improvement the student needed to consider.
  •  
    Over the last few years I've been using screencasting more and more to reach students with feedback that's delivered at a time, place and pace that suits them. Screencast software enables you to capture a video for the student of what is occurring on your laptop or desktop computer screen, and record your voice to accompany it.
Nigel Coutts

Revealing our Lifelong Learning - 0 views

  •  
    Few would argue that life-long learning is a worthy goal with real benefits for our long term mental health and happiness. Engaging with new ideas, concepts and ways of doing things is the ideal strategy for a healthy mind and a disposition towards better understanding the world and challenging our entrenched beliefs.
shiyambabu

Buy eBay Account - 100% Safe Cheap eBay Business Accounts - 0 views

  •  
    Buy eBay Account Introduction When you want to sell something on eBay, there are a few things that you need to do. First of all, you need an account. Then, once you have one of these accounts, you can start selling items. However, this is not enough if your goal is actually making money from selling on Ebay! You also need feedback from previous buyers so they know how good or bad your service was before buying from you again in the future. And finally - if possible - it's always better if people leaving positive feedback about your work on Ebay rather than negative comments about what happened during those transactions with them (or other customers). What is eBay eBay is a popular online marketplace where people can buy and sell goods and services. It's owned by eBay Inc., which was founded in 1995 by Pierre Omidyar. As of 2018, the company had an estimated worth of $70 billion USD (with over three billion active users). Buy eBay Account
« First ‹ Previous 61 - 65 of 65
Showing 20 items per page