Used as a scaffold, AI can enable deeper engagement, broader exploration, and iterative individualized learning at scale.

A lack of structured collaboration between K-12 and higher ed contributes to a disconnect between research and practice.

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 ...

If we design AI systems that shortcut the learning process, we risk undermining the very purpose and value of education.

The way a higher education leadership candidate manages offers reveals as much about their character as anything they said in ...

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, ...

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 ...

Higher education is at a crossroads. Across the nation, colleges and universities are grappling with declining enrollments, crumbling infrastructure, and financial instability. The lingering effects ...

As instructors work to build more equitable and humanizing online learning environments for students, one concept gaining traction in higher education is the liquid syllabus. A liquid syllabus can be ...

In academia, the ability to communicate complex ideas succinctly is not a peripheral skill; it is a core professional competency. The concept of the elevator speech, typically a 30- to 90-second, ...

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 ...