COLUMBUS, Ohio (GLOBE NEWSWIRE) — McGraw Hill announced the launch of an industry-first delivery model that releases digital product updates directly to existing courses already built by instructors, replacing the…

AI is rapidly reshaping education, but not always in ways that support learning. A growing number of AI tools promise to “help” students by doing assignments, writing papers, solving problem sets, or even completing exams automatically.

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 insurance policy in place, or have run a tabletop exercise or two.

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 even draft sections of academic writing.

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 “technology for technology’s sake” mentality–a pursuit of digital innovation that typically prioritizes the novelty of the tool over the efficacy of the intended outcome.

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, whether we can “detect” it, whether it will “go away.” This is what happens when an institution confuses discomfort with principle.

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.

​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 generative artificial intelligence (AI) in higher education.

Recent updates to the Americans with Disabilities Act means digital accessibility for public educational institutions can not be ignored. It will become a legal mandate.

Today’s students and faculty expect seamless technology experiences on and off campus–and a new study reveals that poor technology can prompt students and educators to think about changing institutions.

Many colleges and universities have set ambitious sustainability goals to demonstrate leadership on climate change and environmental stewardship. As institutions encounter unforeseen challenges–such as evolving regulatory frameworks, financial constraints, and changing stakeholder expectations–some are finding it necessary to revise their sustainability targets.