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

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

This story was originally published by Chalkbeat. Sign up for their newsletters at ckbe.at/newsletters. Cecilia Lopez Alvarado was scrolling through Reddit one evening in her dorm room when she came ...

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 ...

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

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

Higher education is having a familiar conversation in an unfamiliar moment. We are debating whether students “should” use AI, whether it is “ethical,” whether it is “cheating,” whether we can “ban” it ...

AI’s rapid integration into the higher-education landscape has prompted a period of profound structural reassessment. For decades, new technology adoption in education has often been driven by a ...

Most educational institutions believe they’re prepared for a cyberattack. Perhaps they’re running backups, and an incident response plan exists somewhere on the shared drive. Maybe they have a cyber ...

T he California State University (CSU) has released findings from its first-ever systemwide survey on artificial intelligence (AI), marking the largest and most comprehensive survey to date on ...

Higher education is moving at breakneck speed to embed AI into admissions, advising, instruction, grading, and student support, yet student protections have not kept pace with institutional enthusiasm ...