Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

Learning redesign in a suburban district makes career readiness central to everyone’s academic and personal growth in high ...

America’s public schools didn’t suddenly fail Generation Z. They drifted there: slowly, predictably, and then all at once. By ...

Here’s what to know about the program at the center of the story, where the allegations came from and what state regulators have said in response.

For decades, many students have sat in math classes wondering when they will ever use the lessons they are learning in real ...

Language learning is often a daunting prospect. Many of us wish we had learned a language to a higher level at school. But ...

University of Otago scientists are harnessing the power of peptides—the body's own tiny protein molecules—for a spray to help ...

In the context of mass higher education, Chinese application-oriented undergraduate institutions face significant teaching challenges stemming from the increasingly diverse student population. This ...

Interdisciplinary thematic learning, driven by thematic tasks and real-world problems, is an effective vehicle for cultivating students' problem-solving skills and individual development. However, ...

Word problems try and tell students a story about the math problem in front of them. They are a useful way to connect abstract numbers to concrete situations, so students can learn early on to apply ...

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...