AI - Elementary

1ST& 2nd: Fri

3rd & 4th: Mon & Wed  10:00 am - 11:00 pm

(2 weeks)

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This summer, give your young child a transformative experience through engaging and educational AI tools designed by Google Labs. Here’s what they will learn and how each tool contributes to their development:

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Teachable Machine
What They Learn: Kids teach a computer to recognize images, sounds, and motions, learning the basics of machine learning.
Why It's Important: It introduces young learners to how AI "learns" from data, fostering an early understanding of complex concepts through interactive play.

Quick, Draw!
What They Learn: Improving communication and artistic skills by interacting with an AI that tries to recognize their drawings.
Why It's Important: This game enhances creative expression and teaches pattern recognition, showing how AI processes and interprets visual information.

AI Duet
What They Learn: Engaging with an AI in a musical duet, responding in real-time to the piano they play.
Why It's Important: Demonstrates AI's potential in creative fields, encouraging children to see technology as a partner in art and creativity.

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Enroll your child at Smarter Summer Camp for a summer of innovation, creativity, and groundbreaking fun. It’s not just play; it’s preparing them to lead in the tech-savvy world of tomorrow.

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AI ​ - Middle School

5th - 8th

Mon & Wed  11:00 am - 12:00 pm

(2 weeks)

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AI Explorer Curriculum Overview

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📘 Week 1: How AI Thinks (Expert Systems, Decision Trees & Teachable Machine)

Goal: Understand how AI mimics human reasoning and how it learns from data.

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• 🔹 Expert Systems

•  Campers designed logic-based paper models that answered questions (e.g., “Can I bring a phone to camp?” What careers recommended based on MBTI test?).

•  Introduced how AI can simulate human thinking with rules.

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• 🔹 Decision Trees & Flowcharts

•  Students mapped out their logic visually, reinforcing how AI narrows down choices step-by-step.

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• 🔹 Teachable Machine

•  Hands-on demo of training a simple AI model.

•  Used basic image classification (e.g., Rock–Paper–Scissors or “happy vs. sad” faces).

•  Advanced voice training and motion training for advanced students.

•  Discussed what happens when the data is unclear, unfair, or limited — introducing concepts like bias and feedback loops.

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📙 Week 2: App Design & AI Agents

Objective: Apply what they learned by building real-world tools using AI principles.

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• 🔹 App Design

•  Set up simple apps to experience how the app works.

•  Learn interface and set up the fundamental basics. 

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• 🔹 Voice & Chat Agents (HighLevel)

•  Connected AI designed model to ai app to make apps.

•  Practiced voice-based input/output, response control, decision paths.

•  Saw how AI can simulate conversations and support people.

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