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Ron King

The real reason why the US is falling behind in math - Opinion - The Boston Globe - 0 views

www.bostonglobe.com/...story.html

math edu why

shared by Ron King on 18 Feb 15 - No Cached
  • Ron King on 18 Feb 15
     
    If my seatmate on an airplane asks me what I do for a living, I tell the truth: I'm a mathematician. This generally triggers one of two responses. Either I'm told that I must be brilliant . . . or I hear about the person's inability to balance a checkbook. The truth is, I'm not brilliant, just persistent, and I hate balancing my checkbook. Both responses, however, point to a fundamental misunderstanding about what mathematics is supposed to do and its current - and unfortunate - trajectory in American education.
Troy Patterson

16 Modern Realities Schools (and Parents) Need to Accept. Now. - Modern Learning - Medium - 0 views

medium.com/...eed-to-accept-now-64b98710e4e9

msm332

shared by Troy Patterson on 23 May 16 - No Cached
  • What’s happened to get people thinking and talking about “different” instead of “better?”
  • The Web and the technologies that drive it are fundamentally changing the way we think about how we can learn and become educated in a globally networked and connected world. It has absolutely exploded our ability to learn on our own in ways that schools weren’t built for.
  • In that respect, current systems of schooling are an increasingly significant barrier to progress when it comes to learning.
  • ...10 more annotations...
  • The middleman is vanishing as peer to peer interactions flourish. Teachers no longer stand between the content and the student. This will change the nature of the profession.
  • Technology is no longer an option when it comes to learning at mastery levels.
  • Curriculum is just a guess, and now that we have access to so much information and knowledge, the current school curriculum bucket represents (as Seymour Papert suggests) “one-billionth of one percent” of all there is to know. Our odds of choosing the “right” mix for all of our kids’ futures are infinitesimal.
  • The skills, literacies, and dispositions required to navigate this increasingly complex and change filled world are much different from those stressed in the current school curriculum.
  • In fact, instead of being delivered by an institution, curriculum is now constructed and negotiated in real time by learner and the contributions of those engaged in the learning process, whether in the classroom our out.
  • “High stakes” learning is now about doing real work for real audiences, not taking a standardized subject matter test.
  • While important, the 4Cs of creativity, collaboration, critical thinking, and communication are no longer enough. Being able to connect to other learners worldwide and to use computing applications to solve problems are the two additional “Cs” required in the modern world.
  • Our children will live and work in a much more transparent world as tools to publish pictures, video, and texts become more accessible and more ubiquitous. Their online reputations must be built and managed.
  • Workers in the future will not “find employment;” Employment will find them. Or they will create their own.
  • Embracing and adapting to change must be in the modern skill set.
Troy Patterson

Preschool lessons: New research shows that teaching kids more and more, at ever-younger... - 0 views

www.slate.com/...l_shouldnt_be_like_school.html

msm300

shared by Troy Patterson on 28 Feb 15 - No Cached
  • Adults often assume that most learning is the result of teaching and that exploratory, spontaneous learning is unusual. But actually, spontaneous learning is more fundamental.
Troy Patterson

The Sabermetrics of Effort - Jonah Lehrer - 0 views

www.jonahlehrer.com/...the-sabermetrics-of-effort

msm299 blog.me

shared by Troy Patterson on 17 Feb 15 - No Cached
  • The fundamental premise of Moneyball is that the labor market of sports is inefficient, and that many teams systematically undervalue particular athletic skills that help them win. While these skills are often subtle – and the players that possess them tend to toil in obscurity - they can be identified using sophisticated statistical techniques, aka sabermetrics. Home runs are fun. On-base percentage is crucial.
  • The wisdom of the moneyball strategy is no longer controversial. It’s why the A’s almost always outperform their payroll,
  • However, the triumph of moneyball creates a paradox, since its success depends on the very market inefficiencies it exposes. The end result is a relentless search for new undervalued skills, those hidden talents that nobody else seems to appreciate. At least not yet.
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  •  One study found that baseball players significantly improved their performance in the final year of their contracts, just before entering free-agency. (Another study found a similar trend among NBA players.) What explained this improvement? Effort. Hustle. Blood, sweat and tears. The players wanted a big contract, so they worked harder.
  • If a player runs too little during a game, it’s not because his body gives out – it’s because his head doesn’t want to.
  • despite the obvious impact of effort, it’s surprisingly hard to isolate as a variable of athletic performance. Weimer and Wicker set out to fix this oversight. Using data gathered from three seasons and 1514 games of the Bundesliga – the premier soccer league in Germany – the economists attempted to measure individual effort as a variable of player performance,
  • So did these differences in levels of effort matter? The answer is an emphatic yes: teams with players that run longer distances are more likely to win the game,
  • As the economists note, “teams where some players run a lot while others are relatively lazy have a higher winning probability.”
  • There is a larger lesson here, which is that our obsession with measuring talent has led us to neglect the measurement of effort. This is a blind spot that extends far beyond the realm of professional sports.
  • Maximum tests are high-stakes assessments that try to measure a person’s peak level of performance. Think here of the SAT, or the NFL Combine, or all those standardized tests we give to our kids. Because these tests are relatively short, we assume people are motivated enough to put in the effort while they’re being measured. As a result, maximum tests are good at quantifying individual talent, whether it’s scholastic aptitude or speed in the 40-yard dash.
  • Unfortunately, the brevity of maximum tests means they are not very good at predicting future levels of effort. Sackett has demonstrated this by comparing the results from maximum tests to field studies of typical performance, which is a measure of how people perform when they are not being tested.
  • As Sackett came to discover, the correlation between these two assessments is often surprisingly low: the same people identified as the best by a maximum test often unperformed according to the measure of typical performance, and vice versa.
  • What accounts for the mismatch between maximum tests and typical performance? One explanation is that, while maximum tests are good at measuring talent, typical performance is about talent plus effort.
  • In the real world, you can’t assume people are always motivated to try their hardest. You can’t assume they are always striving to do their best. Clocking someone in a sprint won’t tell you if he or she has the nerve to run a marathon, or even 12 kilometers in a soccer match.
  • With any luck, these sabermetric innovations will trickle down to education, which is still mired in maximum high-stakes tests that fail to directly measure or improve the levels of effort put forth by students.
  • After all, those teams with the hardest workers (and not just the most talented ones) significantly increase their odds of winning.
  • Old-fashioned effort just might be the next on-base percentage.
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