Category: Higher education

At AWS, we work with EdTechs of all sizes, giving us unique insight into how AI is shaping the industry. Based on our work with EdTechs and educational institutions around the world, we’ve identified six key trends shaping the future of AI in education.

The AWS Imagine for education, state, and local government conference—taking place on July 29-30 in Chicago—is designed for decision-makers eager to explore practical cloud and AI strategies that can help them better provide for their beneficiaries and staff. Whether you’re looking to improve student success, enhance civic initiatives, or accelerate research, this two-day, no-cost event will deliver real-world knowledge and connections to help you turn ideas into impact. In this post, we highlight what you can expect at the conference.

In this post, we discuss how the University of Johannesburg worked with CX/SIM, an AWS Partner, to develop an AI-powered service automation chatbot that increased student engagement and reduced costs.

To support education leaders on their AI journey, we’ve developed a practical guide that maps real-world challenges to proven AI use cases. While not exhaustive, these examples serve as inspiration—highlighting what others have achieved and helping you explore how AI can address your institution’s priorities

AWS and the University of Luxembourg have signed a Memorandum of understanding (MoU) to enhance education through the use of cutting-edge cloud technology. The MoU aims to strengthen the collaboration in cloud computing, focusing on skills development, research, and artificial intelligence (AI) integration. Read this post to learn more.

When Siriraj Medical Research Center planned their “Nanopore workshop: bacterial genome bioinformatics series” for more than 60 researchers, they faced a common challenge: how to provide consistent, high-performance computing environments for complex genomic analyses. AWS offered the solution through Amazon WorkSpaces, transforming how Siriraj Medical Research Center delivers hands-on bacterial genomics training.

In today’s complex procurement landscape, creating comprehensive and accurate statements of work scopes can present a challenge for university procurement teams. To address this growing challenge, the Digital Transformation Hub (DxHub) at Cal Poly—powered by Amazon Web Services (AWS) and part of the AWS Cloud Innovation Centers (CIC) program—took action. The DxHub collaborated with the university’s Strategic Business Services department to create “Scope Builder,” a generative AI-powered application that aims to revolutionize how procurement specialists develop work scopes for university requests for proposals (RFPs) and contracts.

Academic research IT departments around the world face the same challenge: how to balance their existing on-premises infrastructure with the opportunities of cloud computing. At the Supercomputing 2024 (SC24) conference, Amazon Web Services hosted a panel featuring two research IT leaders: Circe Tsui, associate director of solutions architecture at Emory University in the Office of Information Technology, and Dr. Robert Shen, director of the RMIT AWS Supercomputing Hub (RACE) at the Royal Melbourne Institute of Technology (RMIT). During the panel, Tsui and Shen shared how their institutions use AWS to augment and enhance their research operations with more scalability, security, and collaboration alongside their on-premises infrastructure. Read this post to learn more.

By 2026, more than 90 percent of organizations worldwide will face challenges related to an IT skills shortage. Artificial intelligence skills are among the most in-demand, but a variety of cloud skills like architecture, data management and storage, and software development are among the top 10 needed IT skills. To address these needs, Amazon Web Services hosts AWS State, Local, and Education Learning Days, a series of no-cost in-person events nationwide. These one-day events provide IT professionals and business executives in state and local government (SLG) and education with hands-on learning opportunities to grow their cloud skills. Read this post to learn more.

Higher education institutions are under increasing pressure to demonstrate the effectiveness of their programs and provide students with a clear path to degree completion. Data analytics can help these institutions proactively identify and support at-risk students, allowing them to develop personalized intervention strategies to improve student retention and graduation rates. In this post, we’ll explore how Amazon Redshift ML, a powerful machine learning (ML) capability within the Amazon Redshift data warehouse, can enable higher education leaders to quickly predict student outcomes and communicate insights to key stakeholders.