Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

What has quietly disappeared from childhood? "Toy Story 5" explores why free play remains one of the most important ...

What if your biggest challenges could become your greatest teachers? Learn five ACT-based ways to work with problems instead ...

Dylan Kane likes his math curriculum. But there’s one important piece missing, he says. The 7th grade math teacher in Leadville, Colo., uses a program that teaches math skills through real-world ...

Abstract: This article proposes a new framework using physics-informed neural networks (PINNs) to simulate complex structural systems that consist of single and double beams based on Euler–Bernoulli ...

ChatGPT's breakthrough is not what it seems.

The second batch of “First Proof” problems is meant to evaluate AI’s usefulness for research-level math. The best model got six or seven of the ten questions right.

The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to everyone.

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Does this sound familiar? You are 45 minutes into your 70-minute math class. One of your high-achieving students—let’s call him Marcus—finishes his math practice before anyone else. On most days, he ...

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