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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
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  • 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?"
Tony Richards

The Atlantic Online | January/February 2010 | What Makes a Great Teacher? | Amanda Ripley - 0 views

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    "What Makes a Great Teacher? Image credit: Veronika Lukasova Also in our Special Report: National: "How America Can Rise Again" Is the nation in terminal decline? Not necessarily. But securing the future will require fixing a system that has become a joke. Video: "One Nation, On Edge" James Fallows talks to Atlantic editor James Bennet about a uniquely American tradition-cycles of despair followed by triumphant rebirths. Interactive Graphic: "The State of the Union Is ..." ... thrifty, overextended, admired, twitchy, filthy, and clean: the nation in numbers. By Rachael Brown Chart: "The Happiness Index" Times were tough in 2009. But according to a cool Facebook app, people were happier. By Justin Miller On August 25, 2008, two little boys walked into public elementary schools in Southeast Washington, D.C. Both boys were African American fifth-graders. The previous spring, both had tested below grade level in math. One walked into Kimball Elementary School and climbed the stairs to Mr. William Taylor's math classroom, a tidy, powder-blue space in which neither the clocks nor most of the electrical outlets worked. The other walked into a very similar classroom a mile away at Plummer Elementary School. In both schools, more than 80 percent of the children received free or reduced-price lunches. At night, all the children went home to the same urban ecosystem, a zip code in which almost a quarter of the families lived below the poverty line and a police district in which somebody was murdered every week or so. Video: Four teachers in Four different classrooms demonstrate methods that work (Courtesy of Teach for America's video archive, available in February at teachingasleadership.org) At the end of the school year, both little boys took the same standardized test given at all D.C. public schools-not a perfect test of their learning, to be sure, but a relatively objective one (and, it's worth noting, not a very hard one). After a year in Mr. Taylo
Nigel Coutts

Why we fear data and how our perception can change. - The Learner's Way - 0 views

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    Data occupies a somewhat curious place within education. Mention it to teachers and you tend to get one of two responses. One group will roll their eyes and with great sarcasm how data is "so exciting". The other group responds with something akin to "actually I quite like data" indicating that experience has shown them that they are members of a small group. The question is why do some people find data to be a useful and fascinating tool while others see it as a good method for inducing sleep? 
Tony Searl

elearnspace › web 3.0/xWeb - 2 views

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    Web 2.0 is about participation. Web 3.0 is about linked data and the semantic web. The xweb will have a far greater impact on individuals than web 2.0/3.0. Not everyone is a blogger or contributes videos to youtube or edits wikipedia. However, a growing percentage of the population uses the mobile web. Web 2.0/3.0 are a promise of change. The xweb is an instantiation of change, an expression of how technology can alter how people relate to each other, to information, and how the physical world becomes yet another domain for technology to dominate.
Tony Searl

Turning Children into Data - 4 views

  • The teachers understood that learning doesn’t have to be measured in order to be assessed. 
  • It focused on teachers’ personal “connection[s] with our subject area” as the basis for helping students to think “like mathematicians or historians or writers or scientists, instead of drilling them in the vocabulary of those subject areas or breaking down the skills.”  In a word, the teachers put kids before data.
  • All that does is corrupt the measure (unless it’s a test score, in which case it’s already misleading), undermine collaboration among teachers, and make teaching less joyful and therefore less effective by meaningful criteria.
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  • kids should have a lot to say about their assessment.
  • we want to create an environment where students can “experience success and failure not as reward and punishment but as information."  
  • students’ desire to learn?
  • The more that students are led to focus on how well they're doing, the less engaged they tend to become with what they're doing. 
  • A school that’s all about achievement and performance is a school that’s not really about discovery and understanding.
  • teachers’ isolation, fatalism, and fear (of demands by clueless officials to raise test scores at any cost).
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    "While some education conferences are genuinely inspiring, others serve mostly to demonstrate how even intelligent educators can be remarkably credulous, nodding agreeably at descriptions of programs that ought to elicit fury or laughter, avidly copying down hollow phrases from a consultant's PowerPoint presentation, awed by anything that's borrowed from the business world or involves digital technology. Many companies and consultants thrive on this credulity, and also on teachers' isolation, fatalism, and fear (of demands by clueless officials to raise test scores at any cost). With a good dose of critical thinking and courage, a willingness to say "This is bad for kids and we won't have any part of it," we could drive these outfits out of business -- and begin to take back our schools."
Andrew Williamson

What should students do once they can read? - Richard Olsen's Blog - 1 views

  • the only evidence presented to support the assertion that Victoria’s education outcomes are not improving is the report “Challenges in Australian Education: results from PISA 2009: the PISA 2009 assessment of students’ reading, mathematical and scientific literacy”
  • While it doesn’t seem unreasonable to want our students to be able to accurately perform these kind of tasks, these tests are not a true or accurate representation of the skills and competencies our students need in today’s technology driven world.
  • We need to understand the new social world that both our students and our teachers live and learn in.
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  • A world where the experts are no longer in charge, a world where autonomous self-directed learners are skilled at co-constructing new knowledge in unknown and uncertain environments
  • A world where knowledge is complex and is changing.
  • Our students need to be immersed in the modern learning, made possible by modern technology and free of the compromises that up til now our education system has been based on.
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    Looking at the New Directions for school leadership and the teaching profession discussion paper, the only evidence presented to support the assertion that Victoria's education outcomes are not improving is the report "Challenges in Australian Education: results from PISA 2009: the PISA 2009 assessment of students' reading, mathematical and scientific literacy" Specifically the New Directions paper focuses on reading literacy, where in 2009, 14,251 students were given a two-hour pen and paper comprehension test. To get an idea of what types of competencies the reading test is assessing we can look at the sample test , with questions range from comprehension about a letter in a newspaper, the ability to interpret a receipt, comprehension around a short story, an informational text, and interpreting a table. While it doesn't seem unreasonable to want our students to be able to accurately perform these kind of tasks, these tests are not a true or accurate representation of the skills and competencies our students need in today's technology driven world.
Tony Searl

http://www.forumforeducation.org/ - 4 views

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    "In conjuction with our partners in the Rethink Learning Now campaign, we have produced an ESEA Toolkit for you to use in making your voice heard around ESEA reauthorization."
Tony Searl

http://www.smallschoolsproject.org/PDFS/co10103/transforming.pdf - 2 views

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    IMAGINE AN assessment system in which teachers had a wide repertoire of classroom-based, culturally sensitive assessment practices and tools to use in helping each and every child learn to high standards; in which educators collaboratively used assessment information to continuously improve schools; in which important decisions about a student, such as readiness to graduate from high school, were based on the work done over the years by the student; in which schools in networks held one another accountable for student learning; and in which public evidence of student achievement consisted primarily of samples from students' actual schoolwork rather than just reports of results from one-shot examinations.
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