Games have long played a role in classrooms, but next month marks the launch of the first U.S. public school curriculum based entirely on game-inspired learning. Select sixth graders can look forward to playing video games such as "Little Big Planet" and "Civilization," as well as non-digital games ranging from role-playing scenarios to board games and card games.

But this goes beyond guiding your virtual settlers in "Oregon Trail" during classroom free time. The Quest to Learn (Q2L) school, based in Manhattan, hopes its guided approach can help students take on the role of explorers, mathematicians, historians, writers and evolutionary biologists.

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According to developmental psychologists, as infants, we learn to govern our bodies through a process of random experimentation and feedback. We contort our faces into weird shapes, watch our parents react, and then switch up our movements accordingly.

Now, computer scientists at the University of California, San Diego are applying this same strategy to robotics research. Through the use of machine learning, they’ve made it possible for their robot–an Einstein lookalike–to teach itself to make realistic facial expressions.

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I was always told that learning a skill like juggling or playing an instrument requires three things: practice, practice and practice. Now, researchers have found a way to shorten the path to new motor skills to practice, practice and magnetic brain stimulation.

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If we have learned anything about education in recent years, its that the one-size-fits-all mentality of the basal reader just does not work. People learn differently; sexes learn differently. But the research has only gone so far in exploring from where these differences originate. Previously, studies focused only on cognition or brain function.

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Each month, Popular Science features one of Theodore Gray's DIY (if dangerous) experiments. See the whole list here.

2006

January

Making a Perfect Match

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