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Teaching Artificial Intelligence and Machine Learning With Code.org

Change display time — Currently: Central Daylight Time (CDT) (Event time)
Location: Room 348-9
Experience live: All-Access Package
Watch recording: All-Access Package Year-Round PD Package

Explore and create : Creation lab

Jess Baker  
Dan Schneider  

In this hands-on session, you will learn about artificial intelligence and create a machine learning model using code.org's artificial intelligence and machine learning curriculum. The session is designed to help teachers prepare to get started teaching code.org's AI/ML curriculum with students.

Audience: Library media specialists, Teachers, Technology coordinators/facilitators
Skill level: Beginner
Attendee devices: Devices required
Attendee device specification: Laptop: Chromebook, Mac, PC
Participant accounts, software and other materials: A code.org teacher account is helpful but not required.

https://studio.code.org/users/sign_up

Topic: Artificial Intelligence
Grade level: 6-12
Subject area: Computer science, STEM/STEAM
ISTE Standards: For Educators:
Citizen
  • Create experiences for learners to make positive, socially responsible contributions and exhibit empathetic behavior online that build relationships and community.
Facilitator
  • Create learning opportunities that challenge students to use a design process and computational thinking to innovate and solve problems.
Disclosure: The submitter of this session has been supported by a company whose product is being included in the session

Proposal summary

Purpose & objective

This session is designed to help teachers prepare to teach code.org's AI/ML curriculum with their students. Participants will engage in a learning progression specifically designed for teachers on the code.org learning platform. The presenters will guide participants through the learning progression while providing opportunities for participants to work with other participants, engage in group discussion, and ask questions. By the end of the session, participants will have a high-level understanding of the full AI/ML unit along with the content pedagogical knowledge needed to begin teaching the first few lessons of the curriculum.

Outline

5 mins - Introduction of topic and presenters

40 mins - Participants are guided through an online learning progression to design machine learning models in code.org's AI Lab

15 mins - Whole group sharing and discussion
- Participants showcase their machine learning models
- Next steps - participants are connected with resources to extend their models into machine learning apps
- Q & A

Supporting research

https://codeorg.medium.com/cs-helps-students-outperform-in-school-college-and-workplace-66dd64a69536

https://code.org/ai

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Presenters

Photo
Jess Baker, code.org

Jess is a Senior Professional Learning Specialist at Code.org. In this role, she designs professional learning experiences for K 12 teachers. Prior to joining the Code.org team, Jess was the Director of Curriculum and Instruction at a K 12 school. She was a classroom teacher for over ten years. She has taught general science, biology, and computer science to both middle and high school students.

Photo
Dan Schneider, Code.org

Dan is a curriculum writer at Code.org. Prior to joining the education team, Dan taught computer science and math to high school students in Tucson, AZ. Dan is passionate about creating connections between our students' personal experiences and computer science, empowering them to use computer science to create change in their own communities and as a creative medium for self-expression.

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