Number of times to optimally fail? Fifteen percent

Number of times to optimally fail? Fifteen percent

To learn new things, we must sometimes fail. But what’s the right amount of failure? New research led by the University of Arizona proposes a mathematical answer to that question. Educators and educational scholars have long recognized that there is something of a “sweet spot” when it comes to learning. That is, we learn best…

Using the correct tool

Using the correct tool

Seth Godin talks about finding the right tool. The post reminds me of the old adage, when you only have a hammer, everything looks like a nail. When coming up with a solution to a problem, I start with the why. Why are we doing this? Do we need to? Is there something else we…

A linquist’s view of what the internet has done to the English language

A linquist’s view of what the internet has done to the English language

Internet conversations are structured by the shape of our apps and platforms, from the grammar of status updates to the protocols of comments and @replies. Linguistically inventive online communities spread new slang and jargon with dizzying speed. What’s more, social media is a vast laboratory of unedited, unfiltered words where we can watch language evolve…

Play around with artificial intelligence in your browser with the Teachable Machine 2.0

Play around with artificial intelligence in your browser with the Teachable Machine 2.0

People are using AI to explore all kinds of ideas—identifying the roots of bad traffic in Los Angeles, improving recycling rates in Singapore, and even experimenting with dance. Getting started with your own machine learning projects might seem intimidating, but Teachable Machine is a web-based tool that makes it fast, easy, and accessible to everyone. Source: Teachable Machine 2.0 makes AI…