Tag: higher 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.

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.

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.

At the end of 2022, Northwestern University’s Kellogg School of Management had a decision to make. The on-premises SQL server used by faculty and students had reached the end of its life, and the school needed to identify a cost-effective way forward while ensuring that the datasets would remain highly available for researchers to use on demand. After weighing various options, Kellogg worked with Amazon Web Services (AWS) to create a data lake that fit its unique needs.

In the fifth episode of the AWS Behind the Cloud vodcast series, host Sarah Storelli interviews Valerie Singer, general manager of global education at Amazon Web Services (AWS). Watch and listen to learn more about Singer’s journey and discover her insights on how generative artificial intelligence (AI) plays a pivotal role in education around the world.

Data is key to a higher education institution’s ability to expose insights and improve student performance and outcomes. Helping institutions understand how data can be used and how it can propel institutions toward a brighter future is a priority for Amazon Web Services (AWS). With many data solutions available, read this blog post to learn how AWS can help education institutions map out an individualized data journey.

The research team at SLU’s Sinquefield Center for Applied Economic Research (SCAER) required vast quantities of anonymized cell phone data in order to study the impacts of large-scale social problems. SCAER needed to store, clean, and process 450 terabytes of data, so it worked with Amazon Web Services (AWS) to create a fast, cost-effective solution for managing its growing quantities of data.

Amazon Web Services (AWS) today announced 15 startup companies selected to participate in the inaugural AWS Education Accelerator. Announced in October 2023, the AWS Education Accelerator supports education technology (EdTech) startups who are innovating to enhance the teaching and learning experience and improve educational outcomes. Read this blog post to learn about the 15 participants.