Steve Hare

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Steve Hare

Steve Hare

@sharemath

Math-Whisperer. Creator of https://t.co/YTkPUsp7ve.

New Jersey Katılım Ocak 2017
3.5K Takip Edilen5.3K Takipçiler
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Steve Hare
Steve Hare@sharemath·
Too many kids fall behind during math lessons because they don't know their math facts. Don't let this happen to your child this year. Send them to FactFreaks, the website I created to get my students up to speed with all 400 basic facts. It only takes a minute to play, they can learn their facts from scratch with the new Basic Training feature, and best of all, it's 100% free, no ads. Start giving your kid an edge in math class right now!
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Helen Reynolds MBE
Helen Reynolds MBE@helenrey·
Another summary, the EXCELLENT How We Learn by @StanDehaene -well worth a read! Especially at this point in time; an insight into brains/learning is SUPER informative & useful for teachers & parents. His 4 pillars of learning - BRILLIANT. Summaries here: itsalearningcurve.education/cogsci-book-su…
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Justin Skycak
Justin Skycak@justinskycak·
We spend enormous effort optimizing how to get one teacher to teach the same topic to 30 students at the same time, instead of asking whether that model itself is the bottleneck.
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Steve Hare
Steve Hare@sharemath·
@sean_a_mcclure My k-8 math series You Teach You provides an example of how all 4 pillars can be operationalized without AI. (I'm a major fan of learning via AI, jsyk.)
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Sean McClure
Sean McClure@sean_a_mcclure·
There is simply no chance a classroom is the appropriate future for student learning. Scant attention versus infinite patience. Shut up and listen versus relentless dialogue. One arrow versus countless arrows. Take your pick.
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Steve Hare
Steve Hare@sharemath·
@sean_a_mcclure I'm not advocating for the 1-to-30 model, which is indeed grossly inadequate. There's a third option: Stanislas Dehaene's 4 Pillars of Learning open up other possibilities.
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SoL in the Wild
SoL in the Wild@SoLInTheWild·
I told myself no more books with “How” or “Learn” in the title for a while, but then this was staring me in the face at the public library yesterday, and I couldn’t say no. I think I officially have a problem.
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Sean McClure
Sean McClure@sean_a_mcclure·
2 year anniversary of Discovered, Not Designed 📕 a.co/d/04lYPiVv
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Steve Hare
Steve Hare@sharemath·
@GradeScience Excellent books! Error feedback is non-negotiable. I'll check out Predictably Correct!
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Grade 7 Science
Grade 7 Science@GradeScience·
@sharemath To get an all round view of how our brains work, The Experience Machine by Andy Clark and Being You by Anil Seth. Plus Adam Wray's sub stack Predictably Correct. Prediction errors trigger the learning process by generating epistemic curiosity. Dehaene writes about this, too.
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Laura Stam
Laura Stam@StamStam193·
@sharemath He's brilliant. I read his book on the reading brain.
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Steve Hare
Steve Hare@sharemath·
Somehow I missed this yesterday. Sorry! All of these are important applications of CLT: they reduce extraneous load. But students still need to make curiosity-driven predictions, actively test their predictions, get instant error feedback, and integrate what they've learned into their existing mental models. Reducing cognitive load is necessary but not sufficient according to the biology of learning. Here’s a 2-sided worksheet that shows how these essentials can be delivered at the elementary level.
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Annie Sullivan's ghost 🟧
Annie Sullivan's ghost 🟧@simplegifts21·
@sharemath Steps in a process. We can reduce CL in math by using charts and calculation aids, including calculators. We can overpractice before embedded in word problems. We can slow down the process to make each step meaningful. I am an elementary special education teacher.
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Steve Hare
Steve Hare@sharemath·
Cognitive Load Theory is one of the most useful frameworks in education. It tells us that working memory is limited, that extraneous complexity impedes learning, that beginners and experts have different instructional needs. All of that is true. But it's only ¼ of the story.🧵
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Steve Hare
Steve Hare@sharemath·
@cfsquinn That's not soft science - it's neuroscience! Matthias Gruber showed in 2014 that curiosity activates the dopaminergic reward system and opens the hippocampus for encoding. The commitment you're describing has a biological mechanism. CLT just doesn't have the vocabulary for it.
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Chris Quinn
Chris Quinn@cfsquinn·
@sharemath Participation. Not hand raising participation, but the committment of a student to an idea. This might be soft science, but CLT can't account for this!
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Steve Hare
Steve Hare@sharemath·
@helenrey Everywhere where CLT-informed practices have been adopted without regard for curiosity, generation, continuous error feedback, and consolidation in Dehaene's sense. I've been connected to the CLT community for decades; these essentials are absent from the conversation.
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Helen Reynolds MBE
Helen Reynolds MBE@helenrey·
@sharemath Where has it been treated as a complete theory of instruction? I've seen it as a 'lens'... like most other things we learn from cogsci.
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