January 3

Achieve

Thursday’s Big Idea

Today's Big Idea: Deep Learning

Why do we spend so much time teaching a skill that is best left to computers even as we continue to get such dismal results? 

Conrad Wolfram raises this question in reference to the teaching of computation by hand. U.S. students are dramatically underachieving in this key STEM subject. But let's stop all of the hand-wringing and focus on teaching a deeper understanding of math, Wolfram says. This type of earning involves key skills such as posing the right questions and turning real world problems into math formulations. That's what the computers can't do. That's what we need students to excel at, Wolfram says, if we hope to get ahead in "the computational knowledge economy" of the future. 

In such an advanced economy, Wolfram argues, "high-level math is integral to what everyone does."

  1. 1 Reinventing Math for the Computat...
  2. 2 Ray Kurzweil: Memorization is For...
  3. 3 Pigeons are Good at Math, Alas
  4. 4 Blending Math With Beauty
   
  1. Reinventing Math for the Computational Knowledge Economy

    Reinventing Math for the Computational Knowledge Economy

    A new math curriculum is needed to move us from the knowledge economy to "the computational knowledge economy where high-level math is integral to what everyone does."

    Read More…
  2. Ray Kurzweil: Memorization is For Robots. People Learn By Doing.

    Ray Kurzweil: Memorization is For Robots. People Learn By Doing.

    As neuroscience, cognitive science, computer programming, and artificial intelligence progress, we’re understanding better and better how we learn. 

    Read More…
  3. Pigeons are Good at Math, Alas

    Pigeons are Good at Math, Alas

    Complex math skills have been discovered in non-primates. 

    Read More…
  4. Blending Math With Beauty

    Blending Math With Beauty

    How a quest to combine aesthetics with mathematics produced one of math’s most famous, and gorgeous, images: the Mandelbrot set.

    Read More…