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Rhondda Powling

How To Prepare Students For 21st Century Survival - 3 views

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    The post discusses 7 survival skills for the 21st century and how they might be purposefully applied in a classroom. They are: 1. Critical Thinking and Problem Solving. 2. Collaboration Across Networks and Leading by Influence. 3. Agility and Adaptability. 4. Initiative and Entrepreneurship. 5. Effective Oral and Written Communication. 6. Accessing and Analysing Information. 7. Curiosity and Imagination
ava777

Waterproof Windproof Solar Lighter Camping Survival Fire - 0 views

Waterproof & Windproof Fast ignition, only need 3 seconds under good sun. Can be used as a signal mirror, Survival Tool in case of emergencies. Enjoy the cigars any where, even in swimming pool and...

started by ava777 on 15 May 19 no follow-up yet
Rhondda Powling

Teaching Skills: What 21st Century Educators Need To Learn To Survive - 4 views

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    Listing the traits that make an the ideal 21st teacher. Post tries to answer What does an educational professional need to be or do to tune in and synchronize with the new realities silently emerging inside schools and educational environments?
anonymous

800-CEO-READ Blog: Guest Post from Tony Wagner, author of The Global Achievement Gap - 0 views

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    Here are the Seven Survival Skills, as described by some of the people whom I interviewed - Tony Wagner
anonymous

Brain Rules: 12 Principles for Surviving and Thriving at Work, Home, and School | Brain... - 0 views

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    The brain is an amazing thing. Most of us have no idea what's really going on inside our heads.
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?"
dean groom

'Teach Naked' Effort Strips Computers From Classrooms - Technology - The Chronicle of H... - 0 views

  • might need to stay a low-tech zone to survive.
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    ollege leaders usually brag about their tech-filled "smart" classrooms, but a dean at Southern Methodist University is proudly removing computers from lecture halls. José A. Bowen, dean of the Meadows School of the Arts, has challenged his colleagues to "teach naked"-by which he means, sans machines. More than any thing else, Mr. Bowen wants to discourage professors from using PowerPoint, because they often lean on the slide-display program as a crutch rather using it as a creative tool.
Rhondda Powling

Survival Tips for Digital Storytelling | Teacher Reboot Camp - 2 views

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    "There are many free online tools to help their students create and learn through digital storytelling. Many of these online tools have free apps available on i-devices and Android devices. Through digital storytelling we motivate our learners to apply, contextualize, visualize, and personalize the knowledge they learn. In the post there are some great free apps, tools, and resources that will help begin creating digital stories with learners. The slide presentation embedded will explain the process and provide you with tips on managing a digital storytelling project." This is a great resource for any teacher thinking about undertaking digital storytelling with their students.
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