In a recent CoSN survey, an overwhelming majority of ed tech leaders (94%) said they see AI as having a positive impact on education. Respondents ranked generative AI as their top tech priority, with 80% reporting their districts have gen AI initiatives underway, or plan to in the current school year.
Artificial intelligence is evolving rapidly — both in how it's used and how it's perceived in K-12 education. As a result, schools and districts are under increasing pressure to adapt and respond to the changes AI is driving.
Global IT leaders are planning to spend more on generative artificial intelligence than cybersecurity in 2025, according to new research by Amazon Web Services (AWS).
As a fifth-grade teacher and AI School Champion in the St. Vrain Valley School District, I've seen firsthand how artificial intelligence (AI) is transforming education. Here are five AI-enabled tools I've found especially powerful in my classroom and professional practice.
Amazon Web Services (AWS) has made a number of AI updates to maintain its position alongside fellow cloud giants Microsoft and Google.
Meta Platforms has launched a stand-alone artificial intelligence app built on its proprietary Llama 4 model, intensifying the competitive race in generative AI alongside OpenAI, Google, Anthropic, and xAI.
Learning platform Duolingo is embracing AI in an effort to make learning replicable, scalable, and always available.
A new K-12 learning platform aims to bring personalized education to every student. Kira, one of the latest ed tech ventures from Andrew Ng, former director of Stanford's AI Lab and co-founder of Coursera and DeepLearning.AI, "integrates artificial intelligence directly into every educational workflow — from lesson planning and instruction to grading, intervention, and reporting," according to a news announcement.
A new executive order from President Donald Trump aims to advance America's position in artificial intelligence technology by incorporating AI into education and providing AI training for educators.
As organizations race to integrate AI agents into their cloud operations and workflows, they face a crucial reality: while enthusiasm is high, major adoption barriers remain, according to a new Cloudera report. Chief among them is the challenge of safeguarding sensitive data.