I love learning innovation so much that, along with my collaborator Eddie Maloney, we are trying to build a new interdisciplinary field. In higher ed, sometimes the best way to get some traction in ...

A group of philanthropies and school and technology advocacy groups, with contributions from educators, compiled a four-part “working definition” of the attributes of personalized learning. They also ...

Personalized learning has a big problem. Inside America’s schools, the term is used to mean just about anything. Algorithm-driven playlists? Grouping students based on digital data? Letting teens ...

We’ve seen a significant ramping up of interest in – and exposure to – the flipped/inverted classroom over the last few years, and it’s been nice to see an uptick in the amount of research being done ...

Some parents sacrifice their lives for the benefit of their children. They put all their hopes in the direction of their offspring. Sometimes they even become outstanding educators. Other social ...

The two biggest barriers to the use of machine learning (both classical machine learning and deep learning) are skills and computing resources. You can solve the second problem by throwing money at it ...

This article is published by AllBusiness.com, a partner of TIME. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and improve ...

This article is published by AllBusiness.com, a partner of TIME. What is "Reinforcement Learning"? Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by ...