Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

Student Use Cases for AI



Student Use Cases for AI

Generative AI tools and the large language models (LLMs) they’re built on create exciting opportunities and pose enormous challenges for teaching and learning. After all, AI can now be ubiquitous in the classroom; every student and educator with a computer and internet has free access to the most powerful AI models in the world. And, like any tool, AI offers both new capabilities and new risks.

To help you explore some of the ways students can use this disruptive new technology to improve their learning—while making your job easier and more effective—we’ve written a series of articles that examine the following student use cases:

AI as feedback generator

AI as personal tutor

AI as team coach

AI as learner

For each of these roles, we offer practical recommendations—and a detailed, shareable prompt—for how exactly you can guide students in wielding AI to achieve these ends.

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.