Learning in sentence

2412 examples of Learning in a sentence

One idea is active learning.

And this is a form of learning called active learning, and really promoted by a very early paper, in 1972, by Craik and Lockhart, where they said and discovered that learning and retention really relates strongly to the depth of mental processing.

So this form of self-pacing can be very helpful to learning.

My colleague Ed Bertschinger, who heads up the physics department at MIT, has this to say about instant feedback: He indicated that instant feedback turns teaching moments into learning outcomes.

So we applied these gamification techniques to learning, and we can build these online laboratories.

Fifth is peer learning.

So this is absolutely amazing, where students are learning from each other, and they're telling us that they are learning by teaching.

You know, we're desperately trying to avoid being gross all the time, so I think many of us take this kind of voyeuristic delight in learning about gross things.

I built my first website myself in HTML, and I'm learning JavaScript and Python.

So the lesson in agriculture is that you can actually change the system that's based on brute force as you start merging that system and learning that system and actually applying biology.

Normally, acquiring moral behavior is simply part of growing up, like learning to speak.

There seems to be a window of opportunity, after which mastering moral questions becomes more difficult, like adults learning a foreign language.

In order to understand how this process works, I left the psychopaths and joined a lab in Oxford specializing in learning and development.

However, mice reared in what we called an enriched environment, a large habitation with other mice with wheels and ladders and areas to explore, demonstrate neurogenesis, the birth of new brain cells, and as we showed, they also perform better on a range of learning and memory tasks.

And so you have a lot of those arcs of instability in the world right now, in places like Syria, where there's a civil war going on and you have massive numbers, thousands and thousands of foreign fighters who are coming into Syria to learn how to be terrorists and practice that activity, and lots of those people are Westerners who hold passports to European countries or in some cases the United States, and so they are basically learning how to do jihad and have expressed intent to go out and do that later on in their home countries.

So we started doing machine learning research to improve that.

But we actually ran machine learning on YouTube and it discovered cats, just by itself.

They started with video games, and really just, maybe I can show the video, just playing video games, and learning how to do that automatically.

We used a lot of machine learning to improve things incrementally, but I think for me, this example's really exciting, because it's one program that can do a lot of different things.

I brought in MIT scientists with expertise in prosthetics, robotics, machine learning and biomechanics, and over a 200-day research period, we studied dance.

And so we started gathering scientists and started learning about population, learning about vaccines, learning about what had worked and what had failed, and that's really when we got going, was in late 1998, 1999.

It's sad because the people who I described, they were very disinterested in the learning process, want to be effective teachers, but they have no models.

So I make the argument that we reframe teacher education, that we could focus on content, and that's fine, and we could focus on theories, and that's fine, but content and theories with the absence of the magic of teaching and learning means nothing.

They listen to his metaphors and analogies, and they start learning these little things that if they practice enough becomes the key to magic.

You know, engineers are very smart, and despite occasional frustrations because I'm less smart, I've always enjoyed working with them and learning from them.

The second thing: machine learning.

So you keep hearing about machine learning and there was a revolution of machine learning recently, in deep learning, and that allowed us to build machine-learning models that can understand wireless signals and interpret them so they would know what happened in the environment.

So if you think of it, the radio is like the ear of our device and the machine learning is like the brain, and together, they have a very powerful device.

And by doing this, I was able to learn that offspring colonies resemble parent colonies in their decisions about which days are so hot that they don't forage, and the offspring of parent colonies live so far from each other that the ants never meet, so the ants of the offspring colony can't be learning this from the parent colony.

And using those two pieces of information, I can train a standard deep neural network or a deep learning network to provide patient's diagnosis.

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