Google Says Over 1,000 U.S. College Institutions Have Integrated Gemini for Education

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IBL News
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IBL News | New York

Google claimed that over 1,000 U.S. college institutions have integrated Gemini for Education into their academic and administrative frameworks, with 10 million students using these tools.

These tools are built on LearnLM Gemini and Guided Learning (learning model and Guided Learning).

Gemini for Education is free of charge for accredited higher education institutions.

In August, Google launched the Google AI for Education Accelerator, an initiative that offers free AI training and Google Career Certificates to every college student in the U.S.

Google provided a handful of case studies, showcasing institutions using Gemini for Education AI tools:

San Diego State University (SDSU). It has a campus-wide deployment of Gemini and NotebookLM.

University of Hawaii. It offers Google AI Essentials, a free five-hour training that teaches students and faculty how to use AI responsibly.

Indiana University. Through its GenAI 101 course, students, faculty, and staff are learning how to build and apply Gems.

University of Maryland. In a graduate finance class, students are using Google’s AI suite, including Gemini, NotebookLM, and AI Studio, to reimagine credit risk analysis. Using AI to process large amounts of public data from 40 banks and 17 fintechs over two years, they built a tool that is able to rate credit risk management effectiveness across financial institutions.

John Jay College. It collaborates with Google.org and DataKind on a predictive AI model to identify students most at risk of dropping out. Using 75 indicators, including attendance patterns and grade variations, the AI model creates a risk score for every student. Based on the score, the school can offer one-on-one coaching and support to help students avoid trouble before it arises.

Arizona State University. Working with Google Cloud AI, the Knowledge Enterprise team at Arizona State University supports many types of research needs, including big data analytics, complex simulations, and machine learning models. ASU used Google Cloud AI to achieve a four times more accurate prediction of enrollment, boosting online registrations by 52%.