Don’t Just Find It, Design It! : Teaching with Generative AI

What if teachers no longer have to search for the “right” learning content, but can design it for their own students?

In this session, I will share what I learned from using generative AI in my classroom for over a year. The main example is Singing Grammar, an approach in which I create AI-generated songs based on the vocabulary, grammar, pronunciation, and listening goals my students are currently learning. I will show how this practice developed from simply generating songs into combining content design and instructional design. I will also share student feedback, classroom examples, and lessons I learned along the way.

I will also show how I have started applying the same idea to AI-generated audio and video. Instead of simply asking what AI can generate, I want to ask: What kind of learning experiences can we design with it?

About this event:

Presenters:

Track:

• Hikaru Takeyama, Teaching Associate, Japanese, University Laboratory High School, University of Illinois Urbana-Champaign

Skill Trees — Every great quest starts with the right skills. Showcase tools, platforms, and practices that empower instructors, support student success, and open new paths for teaching and learning.

Experience Needed:

All Levels

Learning Outcome:

Participants will learn how to move beyond simply generating materials with AI and think about how those materials can be evaluated, adapted, and integrated into instruction.

They will also learn from examples of a year-long classroom implementation and consider how the same approach could be applied to other subjects and learning contexts.

Additional Keywords:

Generative AI, instructional design, AI-generated content, teaching and learning, educational technology, multimodal learning, Suno, Google AI Studio, Google Vids