Teach with GenAI

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Overview

I led an AI workgroup to explore the practical applications of GenAI for UCLA Extension instructors and course developers.

Recognizing the transformative potential of AI in education, the initiative focused on responsible AI integration and effective prompting techniques to maximize outcomes in three key areas: course design, course development, and teaching.

My Role

My role encompassed project leadership and content creation.

Project Leadership

As workgroup lead, I oversaw the strategy and development of the AI initiative, ensuring alignment with institutional goals and instructor needs.

I led research and upskilling team workshops and cross-campus partnerships to develop practical AI use cases and resources. I also contributed to AI policy discussions.

Content Creation

Focusing on low-cost, high-impact AI projects, I developed a variety of resources, including:

  • 12+ Knowledge Base articles on responsible AI use, GenAI prompting strategies, and research.
  • A GenAI Prompt Library with 300+ prompts to assist instructors in their course design and development efforts.
  • A proposed series of AI-focused workshops and webinars to provide ongoing professional development for instructors.

Project Highlights

The primary goal was to develop actionable AI resources that instructors could implement right away. Here’s a quick snapshot of some key resources that were developed:

AI Resource Hub

Centralized access to AI resources, training, groups, publications, article guides, and more.

GenAI Prompt Library

Developed 300+ useful prompts in the areas of course design, course development, and teaching.

“Teach with GenAI" Articles

Developed 10+ article guides on AI literacy, responsible use, and prompting techniques.

AI Webinars Framework

Developed a framework of AI webinars and workshops to provide ongoing training to instructors.

AI-Enhanced Course Design

Mapped out a structured workflow that integrates AI into the course design and development process to enhance efficiency.

Approach

The approach was to be students of GenAI as much as trainers. Building on this foundation, our focus was to research, learn, and build scalable training solutions by:

Conducting extensive research on existing trainings, academic resources, institutional policies, intellectual property guidelines, ethical considerations, and compliance standards.

Forming cross-campus partnerships with instructional design teams, IT, and EDI offices on UCLA’s main campus to align AI resources and strategies institution-wide.

Collaborative upskilling through internal workshops, enabling the team to explore AI capabilities, test applications, and collaboratively develop use cases.

Developing scalable AI resources like prompt libraries, Knowledge Base articles, and webinars/workshops that can be continuously updated as AI tools and best practices evolve.

Examples

Here are a few samples from the ongoing initiative.

Screenshot of GenAI Workshop Guidelines and Activities.
Screenshot of patient chart interaction quiz on iPad.
Screenshot of patient chart interaction on iPad.
Screenshot of drag-n-drop interaction on laptop.
Screenshot of module landing page on iPad.
Screenshot of module introduction on iPad.
Screenshot of scenario starting screen on laptop.
Screenshot of module landing page on iPad.
Screenshot of module introduction on iPad.

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