Category: Education

The University of Pittsburgh, the University of Illinois Urbana-Champaign (UIUC), the University of California Davis Health Cloud Innovation Center (UCDH CIC)—powered by Amazon Web Services (AWS)—and the AWS Digital Innovation (DI) team have built a prototype that uses machine learning (ML) and generative artificial intelligence (AI) to transform the public health communications landscape by giving officials the tools they need to fight medical misinformation, disinformation, and malinformation.

Japan’s Mount Fuji is famous for its height and width but it’s also reachable by novice hikers without lots of time on their hands due to the nation’s efforts to make it accessible. Now, the researchers behind one of the world’s fastest supercomputers, Fugaku, which is another name for Mt. Fuji, are trying to make the supercomputer just as accessible on the Amazon Web Services (AWS) Cloud. Read this post to learn more.

The Pacific Northwest National Laboratory (PNNL) developed Aether as a reusable framework for sharing data and analytics with sponsors and stakeholders. Aether is a mature cloud-centered framework designed using Amazon Web Services (AWS) serverless services to provide a cost-effective and reliable environment for a dozen projects currently deployed with the framework. Read this post to learn more about how Aether’s serverless-first approach is enabling disaster response and risk management.

Access Partnership recently conducted a study commissioned by Amazon Web Services (AWS) on AI skills across various industries globally—including education. The study found that employers and employees in the education sector anticipate that AI utilization will improve productivity by more than one-third. Read this post to learn more about this finding, and others, and what it means for the education sector.

UK Biobank, the world’s most comprehensive source of health data used for research, needed a purpose-built data platform with compute and data-storage capabilities that provided analysis tools in a centralized environment and the flexibility to manage increasing quantities of data. This led to the establishment and launch of the secure, cloud-based UK Biobank Research Analysis Platform (RAP), which is hosted on Amazon Web Services (AWS). Read this post to learn more about UK Biobank’s journey to becoming a globally accessible dataset for health researchers.

Amazon Web Services (AWS) is helping K12 school leaders understand how to leverage generative artificial intelligence (AI) in the most practical and responsible ways. Together with the Council of the Great City Schools and the Consortium for School Networking, we created the K-12 Readiness Checklist and the newly released K12 Generative AI Maturity Readiness Assessment. Read this post to learn about these fundamental tools that can help guide school districts as they implement generative AI.

Recognizing the value that public sector and education buyers can realize through the Amazon Web Services (AWS) Marketplace, an increasing number of education technology (EdTech) and workforce development companies are listing their products there. In this post, we feature some of our top education and workforce sellers and highlight how listing on AWS Marketplace has positively impacted their business growth and goals.

The IT for Development (ITD) Lab at the University of Nebraska at Omaha previously migrated their ETeams application to Amazon Web Services (AWS) because they did not want to manage the underlying infrastructure. With a limited staff, they could focus more on building new functionality in the ETeams application and less on performing mundane maintenance tasks. While the application was performing well, the ITD Lab’s director wanted to lower the monthly costs. This blog post explores an alternative to an SQL Server database that is just as performant but at a lower cost.

Generative artificial intelligence (AI) is one of the most disruptive technologies in history, offering higher education institutions the opportunity to re-imagine a world where learning is highly personalized, seamless, and available to everyone. With this in mind, there’s one question that is a point of conversation across campuses: how can we leverage this technology and realize its potential while preparing our institutions, faculty, staff, and students for responsible use? In response, Amazon Web Services (AWS) helped EDUCAUSE develop a Higher Education Generative AI Readiness Assessment grounded in responsible use.

Students attend community colleges for multiple reasons. Sometimes they drop out—for reasons that aren’t always entirely clear. Now, one of the largest community college districts in the country is determined to not only get a clearer picture but do something about it. Kern Community College District (KCCD) district in California is partnering with Amazon Web Services (AWS) to design and build a student-centered course planning tool to support the district’s Guided Pathways model.