Category: Education

Knowledge graphs (KGs) and large language models (LLMs) are transforming biomedical research, but ensuring artificial intelligence (AI) outputs are trustworthy and evidence-based remains challenging. At the recent AWS and NVIDIA Open Data knowledge graph hackathon, teams of researchers tackled this challenge by developing innovative solutions that combine knowledge graphs with graph-based retrieval-augmented generation (GraphRAG). Read this post to learn more.

This post examines how Nanyang Polytechnic (NYP) and NCS—an AWS Generative AI Competency partner and part of AWS Generative AI Innovation Center (GenAIIC) Partner Innovation Alliance (PIA)—reshaped asynchronous learning through an AI Tutor Assistant. The solution enhances student learning while reducing lecturers’ preparation time by 80%, demonstrating the transformative potential of generative AI in education.

In this blog post, learn how BAC worked with AWS to eliminate computer lab lines, reduce infrastructure costs, and deliver professional design software to students across seven global Regions using Amazon AppStream 2.0.

The Presidential AI Challenge is a nationwide initiative for educators and K-12 students to develop AI-powered solutions for real-world problems in their communities. With a January 20, 2026, deadline quickly approaching, now is the time to transform your idea into an impactful project. Whether you’re building a working prototype or crafting a detailed proposal, this guide breaks down exactly what you need to do to get your submission ready—specifically focusing on using PartyRock, the AWS no-code generative AI playground powered by Amazon Bedrock.

Working with AWS, Cornell University built Socratic Chat, an artificial intelligence (AI) assistant that delivers personalized Socratic teaching at scale. By fall 2024, over 500 students across multiple courses were using the tool, spending 10-15 minutes per assignment, working through progressively harder questions based on Bloom’s Taxonomy—freeing Ault and other professors to focus on in-depth instruction. Read this post to learn more.

When a University of Arizona associate professor needed to build a cross-disciplinary research team of women researchers for a new initiative, identifying the right experts seemed daunting. With thousands of faculty members spread across hundreds of departments, what would have traditionally required weeks of searching outdated websites and disconnected databases was completed in minutes through Knowledge Map (KMap), an AI-powered research platform developed by the University of Arizona and built on AWS.

The University of Notre Dame embarked on a journey to become the first US higher education institution to take a comprehensive, enterprise-wide approach to deploying AWS Web Application Firewall (WAF), AWS Shield Advanced, and AWS Firewall Manager across the entirety of their AWS infrastructure. This meticulous implementation also established a blueprint for other institutions to follow.

In this post, we explore an architecture to facilitate data transfer, and we will demonstrate how to implement the Prometheus-X Data Space Connector (PDC) on AWS. This solution enables organizations to participate in the education and skills data ecosystem securely and efficiently.

In this blog post, you will learn how Weill Cornell Medicine used generative AI to build a secure, searchable interface for its historical medical archives and unlock new research opportunities while preserving the integrity of these one-of-a-kind materials.

Read this post to learn how Loyola Marymount University worked with AWS to develop a secure, course-specific tool called the AI Study Companion, which has earned strong faculty approval while providing students with the support they need at substantial cost savings compared to commercial alternatives.