Digital technologies bring the science of learning to a critical crossroad. With a lack of high-quality, evidence-based data ...

Anderson is a journalist, author and speaker. She spent 20 years covering finance including 10 at the New York Times before shifting her focus to learning. She is currently working on a book about the ...

Almost six in ten of the nearly 8 billion of us on Earth are connected to the Internet; adding the next 4 billion people to the Internet is the biggest learning opportunity in history. In the last two ...

Everyone has a different style of learning. Some people do well with reading the written word. Others learn better through audio. For some, sitting in a quiet library or home office space is key. For ...

Learning models are changing throughout higher education, with a wave of remote, hybrid and blended classes sweeping through colleges and universities even as life returns to something more like ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

We humans don’t learn as easily as we should. We learn better from direct experience than from others. And we learn better from failure than from success. Why is that? What exactly do we learn after ...

This story is part of a special project called Big Ideas in which EdWeek reporters ask hard questions about K-12 education’s biggest challenges and offer insights based on their extensive coverage and ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...