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AI In Action: Apps Controlled Through Machine Learning Models

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Session description

Are you looking for a way to help your students SEE how artificial intelligence is used to make apps more accessible and engaging? This session models a lesson that shows students how to create an ML model that can be incorporated into an application built with p5.js.

Outline

1. Introduce participants to the "big idea" of AI and explain how ML is a type of AI but different than other types. (5 minutes)
2. Introduce Google's Teachable Machine as a tool that students (or anyone) can use to train an ML model. The presenter will demonstrate how to use the tool and have participant groups work to create their own ML models. (15 minutes)
3. Introduce p5.js as a programming tool that allows coders to create applications quickly and simply. Highlight the library of p5.js applications that show many applications exist and can be used to avoid students being forced to code their own application (and allow for class differentiation). Participants will view a variety of p5.js applications to get the experience. (10 minutes)
4. Pick a specific application from p5.js and ask participants to consider the best motions to create for the application with Teachable Machine. Participants create an ML model to use with the application. (15 minutes)
5. Close the session by showing some examples of applications created by students in my classes. (5 minutes)

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Supporting research

Why Learn AI: https://new.nsf.gov/science-matters/ai-education-ai-education

Why Learn to Code: https://www.fielding.edu/ai-doesnt-change-why-kids-should-learn-to-code/

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Presenters

Dr. Gary Lupton

Computer Science Teacher

Salem High School

Session specifications

Topic:

Artificial Intelligence

TLP:

Yes

Grade level:

6-12

Audience:

Curriculum Designer/Director, Technology Coach/Trainer, Teacher

Attendee devices:

Devices useful

Attendee device specification:

Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows

Participant accounts, software and other materials:

Google Account for Teachable Machine (https://teachablemachine.withgoogle.com/) and p5.js (https://editor.p5js.org/)

Subject area:

Computer Science, Interdisciplinary (STEM/STEAM)

ISTE Standards:

For Educators:
Learner

Set professional learning goals to apply teaching practices made possible by technology, explore promising innovations, and reflect on their effectiveness.

Designer

Use technology to create, adapt and personalize learning experiences that foster independent learning and accommodate learner differences and needs.
Design authentic learning activities that align with educational standards and use digital tools and resources to maximize learning.

TLPs:

Spark Curiosity, Prioritize authentic experiences

Related exhibitors:

Google, Inc.