Generative AI in Teaching and Learning
Generative AI (GenAI) is a subset of artificial intelligence focused on creating new data, rather than making predictions based on existing data. This can take the form of text, images, code, music, or videos.
Overview
GenAI tools are rapidly evolving, and the TLC will update this resource as developments occur. GenAI tools currently available on campus are OpenAI’s ChatGPT, Microsoft’s Copilot, and Google’s Gemini. GenAI has also been integrated into Google Searches in the form of AI Overviews, as well as into numerous other tools and software (e.g., Grammarly). As GenAI continues to grow and evolve, its widespread use by students and opportunities for use in teaching and learning make it critical for instructors to reflect on how it affects the courses they teach.
TLC’s AI Acknowledgement
We acknowledge and value diverse viewpoints on the use of AI.
The widespread reach and integration of AI into the student experience demonstrate the clear need for the TLC to help instructors navigate the rapidly changing landscape of AI in teaching and learning, and to lead research and scholarship to better understand the impact on learning and best practices for implementing AI tools in coursework.
Given the emerging technologies in AI and their potential to change our lives, education, work, and research, the UCLA Teaching and Learning Center is committed to helping educators navigate the impacts and implications for education/literacy around these new tools and technologies.
Upcoming Workshops on AI in Teaching and Learning
The TLC hosts workshops and trainings around various AI tools to support instructors as they reflect on how evolving technologies affect the courses they teach and how students learn.
Resources for Teaching and Learning with GenAI
The guide helps instructors understand how generative AI works, explores the pros and cons of generative AI, its teaching potential, and why helping students engage with GenAI is essential for their career readiness.
The guide helps instructors understand how generative AI works, explores its pros and cons, its teaching potential, and why helping students engage with GenAI is essential for career readiness.
Developed in collaboration with UCLA Office of Student Conduct, this document guides instructors who have concerns about possible student misuse of generative AI in their courses.
These resources provide background information, tools, and guidance for instructors who are curious about how to manage generative AI in the context of teaching and learning.
Recent student survey data show increased student use of GenAI. As GenAI becomes embedded in everyday tools, students need support in learning how to evaluate which information is trustworthy and reliable.
Campus Resources on GenAI
An AI Toolkit created by Humanities Technology in collaboration with their Research and Instructional Technology Consultants.
Created by students at UCLA’s Writing Instruction + Research Education (WI+RE), this short tutorial provides the basics, limitations, and potential uses of generative AI.
AI in Teaching and Learning News
Campus Partners
Digital & Technology Solutions
DTS is the central IT department at UCLA. Housed in DTS, the Data and Artificial Intelligence team is responsible for discovering opportunities to leverage advanced data, analytics, and artificial intelligence opportunities across the campus community, collaborating and enabling the organization to pursue innovations in data and AI, and advancing the university’s capabilities through internal and external partnerships. DTS provides support to instructors on digital technology broadly.
Humanities Technology (HumTech)
HumTeach is the technology partner for faculty, staff and students in the Humanities Division at UCLA. They are here to partner on digital projects and offer technical expertise and solutions.
UCLA Library
Search the extensive catalog of research assistance, course guides, subject guides, and useful resources compiled by UCLA librarians.
AI and information literacy can use the Ask Us service to ask questions.
UCLA WI+RE
For instructors, WI+RE’s repository of asynchronous tutorials, workshops, and handouts can be seamlessly integrated into your course sites on Bruin Learn. You can find instructions for this process, including contact information if you would like a WI+RE team member to help you embed their tutorials.
UC Resources
Responsible AI Principles
The UC Presidential Working Group on AI developed the UC Responsible AI Principles to establish appropriate oversight and guardrails so UC may harness the full potential of AI’s transformative technology while appropriately addressing concerns about the potential risks, particularly bias and discrimination. These principles draw upon a growing consensus around the concept of responsible AI and various frameworks implemented across public and private sectors.
Beyond Campus Resources
Teaching about vs. Teaching with: Cultivating Students’ AI Literacy
This four-part workshop series, created by UC Riverside XCITE Center for Teaching and Learning and UC Davis Center for Educational Effectiveness, is designed to help educators reflect on the importance of cultivating students’ AI literacy, explore strategies for introducing AI in the classrooms, and examine examples of activities and assignments that integrate AI.
AI in Education Resource Directory
Compiled by a growing community of 350 members from 70+ schools in 8 countries, including higher education institutions, this growing resource includes reading lists, sample AI usage guidelines, assessment tips, and inclusive strategies to bring AI into your classroom.
Wharton Generative AI Labs’ prompt library
Written by researchers at The Wharton School of the University of Pennsylvania, this collection of reusable prompts can be saved, shared, and customized. Prompts are organized by the following categories: general use, instructor aids, professional tool, and student exercises.