So the question now is: can one teach the core concepts of modern machine learning even to middle schoolers? The first thing I discuss is something that doesn't really need all the fanciness of modern neural-net machine learning: it's recognizing what languages text fragments are from: Kids (and other people) can sort of imagine (or discuss in a classroom) how something like this might work--looking words up in dictionaries, etc. Suffice it to say that after discussing explicitly trained functions like TextRecognize and ImageIdentify, I start discussing "unsupervised learning", and things like clustering in feature space. Wolfram Notebook system that lets us put all these pieces together--all these pieces are critical to making it possible to bring modern machine learning to people like middle schoolers.
Want to make money on the side with your tech skills (and help others in the process)? Consider tutoring high-school or middle-school students in your field of expertise. It's a great excuse to continue your own lifelong learning, pass your skills along to a new generation, and, of course, pull in that side cash. Tutoring STEM subjects is financially lucrative; they're in-demand skills, and kids and parents are thinking ahead to college majors. Though it depends on experience, location, and demand, it's not uncommon for STEM tutors to make anywhere from $25 to $75 an hour.
Called SPHERES (Synchronized Position Hold Engage and Reorient Experimental Satellites), these robots have spent about 600 hours participating in an enormous variety of experiments, including autonomous formation flying, navigation and mapping, and running programs written by middle school students in team competitions. But beyond serving as a scientific platform, SPHERES weren't designed to do anything especially practical in terms of assisting the astronauts or flight controllers, and it's time for a new generation of robotic free fliers that's fancier, more versatile, and will be a big help for the humans on the ISS. From the beginning, Astrobee was intended to be much more than a successor to SPHERES: It's a completely new platform, designed from scratch to operate autonomously and safely on board the ISS. Astrobee's computing system has three layers of processors inside: one low level, one mid level, and one high level.
At Trail Ridge Middle School, which is forty minutes north of Denver, in Longmont, the old Colorado is giving way to the new. A stuffed grizzly that once stood at the entrance has been banished to a dusky back hallway, and many of the students are the children of tech workers. On a recent weekday morning, Anna Mills, a sixth-grade science teacher, shouted from the front of the classroom, "Grab your iPads and your Spheros!" When her command didn't work, she clapped twice, and this code was successful: her two dozen students clapped back, roughly in unison, and began getting up from their desks. Mills had divided her class into groups of three, and the leaders of each trio hurried over to a counter where ten Spheros--milky white orbs about the size of navel oranges--sat in blue charging cradles.
A new study of Los Angeles middle school students finds that those who sent or received sext messages were significantly more likely than their non-sexting peers to be sexually active. New research has found that women are on average no more likely to have multiple sexual partners in a single month after they are provided no-cost access to birth control methods than they were before. And while women reported a slight uptick in their reported monthly sexual encounters a year after... New research has found that women are on average no more likely to have multiple sexual partners in a single month after they are provided no-cost access to birth control methods than they were before. And while women reported a slight uptick in their reported monthly sexual encounters a year after...
Learning how to create, test, and revise models is a central skill in scientific reasoning. We argue that qualitative modeling provides an appropriate level of representation for helping middle-school students learn to become modelers. We describe Vmodel, a system we have created that uses visual representations and that enables middle-school students to create qualitative models. We discuss the design of the visual representation language, how Vmodel works, and evidence from school studies that indicate it is successful in helping students.