Category: Education

Columbia University’s Learning the Earth with Artificial Intelligence and Physics (LEAP), a National Science Foundation (NSF) Science and Technology Center, collaborated with AWS to build AutoClimDS, an agentic AI system that researchers with no specialized coding expertise can use to conduct climate data science workflows using natural language. Read this post to learn more.

Every year, an estimated 3 million Americans receive home healthcare services. These programs often improve health outcomes, but they also carry risks. Patients may fall, miss medications, or face complications that lead to hospitalization. Researchers at Columbia University’s School of Nursing are exploring how artificial intelligence (AI) could help predict and prevent such events.

Teams from AWS, working with Sentient Industries, brought the power of AI directly into Excel spreadsheets. Logistics officers can now type the device description in Excel and have the power specs retrieved from a knowledge base in Amazon Bedrock. Unlike a chat-based solution, the AI directly loads the data into spreadsheet cells, creating a streamlined and efficient user workflow. The AI meets the users where they are, and this capability is now being commercialized by Sentient. Read this post to learn more.

Learn how Seesaw worked with Amazon Web Services (AWS) to build an AI-powered reading assessment tool using Amazon Transcribe, and how it has supported teachers at Vacaville Unified School District (VUSD) in northern California.

In this post, we explore how the intuitive interface, collaborative features, and diverse learning modalities of PartyRock make it an ideal tool for educators who want to support AI literacy goals while accommodating different learning styles and technical backgrounds.

Working with AWS, a three-person Boise State University team built boisestate.ai, a custom AI platform, in just six months. The solution gives the entire campus access to multiple models while cutting per-user costs by more than 80%. Read this post to learn more.

In this blog post, you will learn how to deploy and run Moodle using serverless technology on Amazon Web Services (AWS).

Coursera and AWS surveyed more than 750 technology executives across six countries to understand how organizations are balancing automation, human expertise, and infrastructure modernization as they prepare for an AI-driven future. The survey reveals a clear insight: As organizations move toward AI-driven operations, success begins with the cloud.

The number of K-12 educators who use artificial intelligence (AI) is growing quickly, with many turning to AI assistants for timely and reliable insights into student performance. By eliminating administrative tasks and simplifying data analysis, these emerging tools enable teachers to focus on what matters most: supporting student growth. In the 2025-26 school year, Otus, a leading K-12 student data and assessment solution, will empower 1,165 administrators and 8,579 educators to maximize outcomes for over 106,000 students with its assistant. Putting AI into everyday practice helps these districts capitalize on the reliable data foundations they already have in place and integrate the information into effective classroom strategies.

Pearson Clinical Assessments, a leader in psychological and educational testing, saw an opportunity to use cloud technology to transform how clinicians assess and support students. Working with AWS, Pearson developed two solutions: the Digital Assessment Library for Schools (DALS) and Revibe, an artificial intelligence (AI)-powered wearable technology designed to enhance focus and attention. The goal was clear: to help time-pressed clinicians work efficiently while still serving each student as an individual.