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Nigel Coutts

Tinkering with Old Technology - The Learner's Way - 0 views

thelearnersway.net/...tinkering-with-old-technology

technology education tools teaching collaboration learning

shared by Nigel Coutts on 19 Jun 16 - No Cached
  • Nigel Coutts on 19 Jun 16
     
    As technology evolves and its inner workings increasingly disappear from view, replaced with solid-state parts hidden by glass, aluminium and plastic, our understanding of what makes the world operate is similarly impeded. When machinery from just a few decades ago is viewed a world of moving parts, linkages, cogs and levers is revealed. These mechanical objects contain an inherent beauty and inspire curiosity in ways that modern devices with their pristine surfaces and simplified design language do not. Opportunities to explore devices from the past open our eyes and lead us to new questions of how our devices function, how machines do the jobs we need them to do and how engineers solve problems.
nathandh_2000

Are kids really motivated by technology? | SmartBlogs SmartBlogs - 3 views

smartblogs.com/...ds-really-motivated-technology

technology motivation education ict engagement

shared by nathandh_2000 on 19 Sep 12 - No Cached
  • What students are really motivated by are opportunities to be social — to interact around challenging concepts in powerful conversations with their peers. They are motivated by issues connected to fairness and justice. They are motivated by the important people in their lives, by the opportunity to wrestle with the big ideas rolling around in their minds, and by the often-troubling changes they see happening in the world around them. Technology’s role in today’s classroom, then, isn’t to motivate. It’s to give students opportunities to efficiently and effectively participate in motivating activities built around the individuals and ideas that matter to them.
  • Basically what I’m arguing is that finding ways to motivate students in our classrooms shouldn’t start with conversations about technology. Instead, it should start with conversations about our kids. What are they deeply moved by? What are they most interested in? What would surprise them? Challenge them? Leave them wondering? Once you have the answers to these questions — only after you have the answers to these questions — are you ready to make choices about the kinds of digital tools that are worth embracing.
Rhondda Powling

IdiomDictionary.com - Online Idiom Dictionary - 2 views

www.idiomdictionary.com

idioms dictionary reference tools idiomdictionary writing

shared by Rhondda Powling on 09 Aug 10 - Cached
  • Rhondda Powling on 09 Aug 10
     
    hosted by Read Write Think is a good complementary resource that students can use to practice identifying and using idioms. Eye on Idioms presents students with an incomplete sentence that they need to complete by selecting the proper idiom from a drop-down menu. To help student select the correct idiom, Eye on Idioms provides a picture hint. After selecting the correct idiom, Eye on Idioms asks students to answer a couple of short questions about the meaning of the idiom.
John Pearce

What's WRONG with the edublogosphere? - Dangerously Irrelevant - 5 views

www.dangerouslyirrelevant.org/...g-with-the-edublogosphere.html

blogs tools web 2.0 edublogs EET330 edtechcrew edublogosphere

shared by John Pearce on 23 Feb 10 - Cached
Ruth Howard liked it
  • John Pearce on 23 Feb 10
     
    Scott McLeod poses the question of what's wrong with the edublogosphere and the answers are in the commentary responses. A really important read and exactly the way we would wish most blog posting would evolve.
Steve Madsen

Welcome to Flubaroo - 9 views

www.flubaroo.com

quiz

shared by Steve Madsen on 16 May 11 - No Cached
  • John Pearce on 16 May 11
     
    Flubaroo is a free tool that helps you quickly grade multiple-choice or fill-in-blank assignments. I designed it for my own classroom, and want to share it with other teachers... for free! Flubaroo works with Google docs.Flubaroo also:Computes average assignment score.Computes average score per question, and flags low-scoring questions.Shows you a grade distribution graph.Gives you the option to email each student their grade, and an answer key.
  • Steve Madsen on 26 May 11
     
    Free online quiz system using Google Docs.
  • Steve Madsen on 26 May 11
     
    Moodle quiz is probably better but if a teacher is stuck, this may be the way to go.
Nigel Coutts

The trouble with Twitter - The Learner's Way - 0 views

thelearnersway.net/...the-trouble-with-twitter

education learning tools teaching resources

shared by Nigel Coutts on 10 Jun 18 - No Cached
  • Nigel Coutts on 10 Jun 18
     
    Twitter is a great place for educators to share ideas. It has become my go to place when I am looking for something to read, a new idea or some inspiration. It is a great avenue for sharing practice, asking questions and building a community.    But . . .   . . . Twitter has some problems and these seems to be growing. To get the most out of Twitter a degree of caution is advised.
Tony Searl

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

radar.oreilly.com/...what-is-data-science.html

data datascience trends collaboration learning resources LAK11

shared by Tony Searl on 22 Dec 10 - Cached
  • 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?"
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