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Teaching AI in Early Edu

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Colorado Convention Center, Bluebird Ballroom Lobby, Table 15

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Presenters

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Tricia Umhafer
Curriculum designer
Self
@um_tricia
@triciaumhafer
Tricia has over eight years of teacher coaching and curriculum development experience, and 15 years of experience in education as a teacher and administrator. As an educator, Tricia focuses on building the whole child, one who understands compassion and kindness and is academically proficient. Her areas of expertise include coaching teachers on best practices in enhancing the classroom experience, as well as professional development, technology integration and STEM. Tricia is also a competitive gymnastics coach and dance teacher.

Session description

In this session, we'll emphasize early exposure to AI for young learners, focusing on understanding and mastering AI tools. Educators will explore effective ways to teach AI in computer science and STEM education, imparting essential knowledge for the future.

Purpose & objective

In this session, the primary objectives are to ensure that participants comprehend the fundamentals of AI, gaining a foundational understanding of its key concepts, terminology, and its significance in modern society. Additionally, participants will learn to create basic AI solutions, ultimately empowering them as educators to integrate AI concepts effectively into their teaching methodologies. This session aims to equip educators with the knowledge and skills needed to navigate the increasingly AI-driven educational landscape and prepare their students for a technologically advanced future.

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Outline

I. Introduction (10 Minutes)
A. Welcome and Purpose of the Session
B. Importance of Early STEM Education in AI
C. Goals and Objectives

II. Understanding AI Fundamentals (10 Minutes)
A. Definition and Basic Concepts
B. Relevance and Applications in Daily Life
C. Historical Overview of AI

III. Interactive Learning Approaches and Creativity (20 Minutes)
A. Hands-on Activities and Projects
B. Problem-Solving Challenges
C. Design Thinking and AI
D. AI for Creative Expression
E. Student-led AI Projects

IV. Empowering Educators (15 minutes)
A. Resources and Tools for Teachers
B. Professional Development Opportunities
C. Building a Supportive AI Education Community

V. Q&A and Open Discussion (5 minutes)

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Supporting research

• Bers, M.U. (2018). Coding as a Playground - Programming and Computational Thinking in the Early Childhood Classroom. Routledge.
• Kazakoff, E.R. & Bers, M.U. (2014). Put your robot in, Put your robot out: Sequencing through programming robots in early childhood. Journal of Educational Computing Research, 50(4).
• Kazakoff, E., Sullivan, A., & Bers, M.U. (2013). The effect of a classroom-based intensive robotics and programming workshop on sequencing ability in early childhood. Early Childhood Education Journal, 41(4), 245-255.
• Pugnali, A., Sullivan, A., & Bers, M.U. (2017) The Impact of User Interface on Young Children’s Computational Thinking. Journal of Information Technology Education: Innovations in Practice, 16, 172- 193.

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Session specifications

Topic:
Artificial Intelligence
Grade level:
PK-5
Skill level:
Beginner
Audience:
Curriculum/district specialists, Principals/head teachers, Teachers
Attendee devices:
Devices useful
Attendee device specification:
Smartphone: Android, iOS, Windows
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows
Subject area:
STEM/STEAM
ISTE Standards:
For Educators:
Learner
  • Set professional learning goals to explore and apply pedagogical approaches made possible by technology and reflect on their effectiveness.
Facilitator
  • Create learning opportunities that challenge students to use a design process and computational thinking to innovate and solve problems.
For Students:
Computational Thinker
  • Students break problems into component parts, extract key information, and develop descriptive models to understand complex systems or facilitate problem-solving.
Related exhibitors:
KinderLab Robotics, Inc.

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