Higher education is rapidly developing AI governance frameworks through the creation/modification of policies, establishing compliance structures, conducting procurement reviews, and developing ...

Colleges and universities nurture student development by offering thousands of learning opportunities, and for most, the experience makes it possible to pursue meaningful careers. Whether preparing ...

Universities are attempting to adapt to artificial intelligence while considering mostly the wrong questions. Should AI be banned? Should students disclose use? How much AI use is acceptable? Are ...

In today’s fluid educational landscape, school leaders and educators are confronted with increasingly complex challenges. The infusion of data analytics and the rise of generative artificial ...

Generative AI has moved from novelty to a core tool in a remarkably short period of time. Doctoral students now routinely use AI tools to locate sources, summarize literature, generate outlines, and ...

For decades, STEM has been heralded as the gold standard for education, shaping workforce development and national policy. Governments have poured billions into STEM initiatives, universities have ...

A major gap in how colleges and universities are preparing students to leverage advanced AI in the workplace could leave students at a professional disadvantage, according to new research from ...

AI adoption is widespread among U.S. university students and educators, yet half believe higher education is not fully prepared to manage its impact, according to a new survey released today by ...

As generative AI becomes a routine part of academic work, a familiar question keeps surfacing in classrooms and scholarly writing alike: What, exactly, should writers disclose? A short statement at ...

Expanding STEM education is essential to securing America’s future by strengthening the tech talent pipeline, creating economic innovation, and maintaining global competitiveness. With a projected ...

Generative AI has quickly moved from novelty to infrastructure-like ubiquitousness in education. Faculty and students now routinely use large language models (LLMs) to brainstorm research questions, ...