Change display time — Currently: Eastern Daylight Time (EDT) (Event time)

DYI-AI, Do-It-Yourself: Artificial Intelligence With and Without Coding

Pennsylvania Convention Center, 118B

Listen and learn: Ed talk
Recorded Session
Save to My Favorites


Tech Coach
Los Angeles, CA Schools
ISTE Certified Educator
Saul Duarte is an Instructional Technology Facilitator for the Instructional Technology Initiative-ITI-LAUSD. He currently works at Union Avenue Elementary integrating instructional technology into the curriculum by providing collaborating with teachers to develop ways to use digital tools and digital resources to leverage and enhance/augment instructional practices. Through capacity building and a constant participation in the creation and presentation of innovative technology uses in the classroom, he provides both support to educators and 21st century venues of learning to all students.
STEM and Computer Science Coordinator
Stanislaus County Office of Education
STEM and Computer Science Coordinator with a skill set in STEM PreK-12 Education, Science, Computer Science, STEM, Technology, Artificial Intelligence, Physical Computing, Robotics, Curriculum Design, and Project-based learning. Posses strong program and project management abilities and has successfully led initiatives, including new robotics programs, STEM and Computer Science Summer curriculum, and STEAM camps for elementary students. Member of professional organizations such as CSTA Policy, CASE Legislative committee, CSforCA, AIforCA, and a coach for ISTE Artificial Intelligence Explorations Course, dedicated to advancing STEM and computer science education and empowering students to pursue careers in these fields.

Session description

This presentation will explore artificial intelligence uses in the K-12 classroom with and without coding AI in machine learning, the arts, and physical computing with block coding. These three methods will help educators to get started with AI in any grade. AI additional resources will be provided.

Purpose & objective

This session's objectives are to explore and to provide hand-on experiences on how to integrate Artificial Intelligence into the K-12 classroom so to demystify AI as a hard subject to teach/integrate.
Participants will learn how to use several free/online AI applications that can easily be duplicated and experienced on any device.
The session will model and demonstrate how to train Machine Learning Models to use as standalone AI practices or in combination with Scratch 3.0 block coding.
Lessons plans, instructional activities, and a website with lots of resources will also be shared to encourage reproduction of the session's content.

More [+]


This session content and activities outline will address the following topics:

Intro and Artificial Intelligence in Education/ISTE Background (10 min)
1. AI without coding like in doing Art generators or writing generators (10 min)
2. AI without coding but with applications to coding like LOBE or Teachable Machines (10 min)
3. AI with coding as in Machine Learning Models (which utilizes non-coding engines like Teachable Machines to use in Scratch 3.0 Machine training) (15 min)
Reflections and Conclusions (5 min)

More [+]

Supporting research

Hands-On AI Project Series: A guide for Teachers (ISTE)
Elective Teachers:
AI Explorations:
AI Explorations ISTE:
AI4K12 Initiative (
AI for Teachers )
Blair, Nancy. Teaching /AI with the Hands-On AI

More [+]

Session specifications

Artificial Intelligence
Grade level:
Skill level:
Teachers, Technology coordinators/facilitators
Attendee devices:
Devices useful
Attendee device specification:
Smartphone: Android, iOS, Windows
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows
Participant accounts, software and other materials:

all materials requires are free online.

Subject area:
Computer science, STEM/STEAM
ISTE Standards:
For Coaches:
Learning Designer
  • Model the use of instructional design principles with educators to create effective digital learning environments.
For Educators:
  • Create learning opportunities that challenge students to use a design process and computational thinking to innovate and solve problems.
For Students:
Computational Thinker
  • Students understand how automation works and use algorithmic thinking to develop a sequence of steps to create and test automated solutions.