I was early to the generative AI wave in higher education: I was among the first professors who teach writing to publish in an academic journal about generative AI and critical thinking, and I am now ...

Why learning how to disagree well is important to professional development, and four areas where organizational leaders and ...

Does “choice” in Idaho mean vouchers for private-school tuition or publicly funded remote learning that has brought AP classes and advanced math to the state’s rural reaches?

The Michigan Department of Education wants all K-5 teachers to go through a training called LETRS. Waterford Public Schools ...

Jenny Anderson, a journalist, is author of the Substack “How to Be Brave.” Rebecca Winthrop is director of the Center for Universal Education at the Brookings Institution and author of the newsletter ...

The Applied Ethics Center at UMass Boston receives funding from the Institute for Ethics and Emerging Technologies. Nir Eisikovits serves as the data ethics advisor to MindGuard, a startup focused on ...

Tennessee lawmakers have taken a bold stand against the misuse of taxpayer dollars in public education. On March 10, House Bill 793 advanced out of a full committee with a 15-9 vote, divided mostly ...

When Mississippi reformed its reading curriculum in 2013, scores for the state’s elementary school students soared. Inspired by the “Mississippi miracle,” other Southern states followed suit. But the ...

Aldeman: Practical guide offers concrete tips and embedded QR codes that link to videos of teachers putting those strategies ...

Taxpayers will bear the cost of fixing errors in learning materials published by the Texas Education Agency. The curriculum has drawn attention for its references to Christianity and the Bible.

CONCORD, N.H. – In a victory for academic freedom and education equity, the U.S. Department of Education conceded the end of its February 14, 2025, “Dear Colleague” directive that sought to restrict ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...