A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

How should students use AI in the classroom? This question keeps coming up in every conversation about AI in education. And most of the answers fall into two unhelpful camps: ban it completely or let ...

Real-world data typically exhibits long-tailed class distribution and contains label noise. Previous long-tail learning ...

Microsoft Research has developed a new reinforcement learning framework that trains large language models for complex reasoning tasks at a fraction of the usual computational cost. The framework, ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Design an explicit, three-part learning sequence: The learning sequence starts with a pre-visit phase, followed by an outdoor visit phase, followed by a post-visit phase. Each part of the sequence ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...

What if you could learn in hours what might take others days, or even weeks? Imagine mastering a new skill, understanding a complex concept, or preparing for a major project, all with the help of ...

Physical learning environments (PLEs)—including classrooms, schools, and networks of facilities—play a critical role in shaping educational outcomes. The World Bank’s RIGHT+ framework offers guidance ...

Relying on constructive input from six other educators across the country, I drafted and refined a thinking routine that I ...