AI in Teaching & Learning

This resource is designed to support Berkeley instructors as they navigate the evolving role of generative AI in teaching and learning. It offers ideas, examples, and tools to help you make informed decisions about GenAI use in your course.

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Developing an understanding of how Generative AI (GenAI) works is an ongoing project. That’s because the underlying technology behind GenAI continues to develop at a rapid pace. However, given how ubiquitous GenAI tools have become for students to use as part of their learning experience, it can be...

In an era of nearly ubiquitous AI access, it can be easy to lose sight of what really matters both to students and instructors about the core work of teaching and learning. What are the core principles and values that make a classroom experience meaningful?

As generative AI tools like ChatGPT become more widely available, many instructors are reflecting on how to approach assignment design in a way that aligns with their course goals and pedagogical values. Not everyone needs to overhaul their assignments, nor is that always necessary.

Whether you’ve taken a cautious, experimental, or integrated approach to GenAI, one of the most powerful things you can do as an instructor is pause and reflect.

Generative AI (GenAI) refers to technology that can create new content such as text, images, or code, based on user input. While the utilization of GenAI in education sparks numerous debates, its benefits and drawbacks in our classrooms are vital for educators to consider, discuss, and explore.