Artificial Intelligence for Kids

Introduction to AI for kids through hands-on learning

Number of Lessons

11

Learning Hours

20+

Grades

5+

Artificial Intelligence (AI) for Kids is an AI curriculum for schools for teaching AI to kids in an interactive and playful manner through engaging AI projects such as identifying celebrities in an image, making a face detector, recognizing handwritten and printed text, building machine learning models, etc in an engaging way.

With its clear explanations and an assortment of exciting AI projects for kids, this AI curriculum for schools is ideal for introducing kids to AI and machine learning at a young age.

Learning Outcomes

After completing this AI curriculum, students will have a basic understanding of artificial intelligence and machine learning with the help of a wide variety of AI projects.

Apart from the aforementioned learning outcomes, this AI curriculum will also help them develop important skills such as problem-solving and debugging techniques, critical thinking, logical reasoning, and creativity.

Prerequisites

Introduction to Programming

Curriculum Lesson Plan

Section 1 - Getting Started

The first section of the AI curriculum for schools is for introduction to AI and PictoBlox. It introduces students to AI basics and its applications, and to PictoBlox’s interface.

1.1 - Introduction to AI
What is human intelligence? What is artificial intelligence? Advantages and applications of artificial intelligence.
1.2 - Introduction to PictoBlox (AI)
Introduction to programming and PictoBlox. Getting familiar with Pictoblox's interface.

Section 2 - Artificial Intelligence Techniques

The second section of the AI curriculum for schools teaches students AI concepts such as computer vision, face recognition, text recognition, and speech recognition through hands-on AI projects in PictoBlox.

2.1 - Computer Vision
Understanding human vision, computer vision, and its applications. How self-driving cars work? Artificial Intelligence extension and computer vision blocks in PictoBlox. Applications of computer vision.
2.2 - Face Recognition
Understanding face detection from an image and how facial recognition works. Use of face detection blocks in PictoBlox
2.3 - Optical Character Recognition
What is OCR? How to recognize text from an image? Understanding the functionality of OCR blocks of PictoBlox.
2.4 - Speech Recognition
How does speech recognition work? Using speech recognition blocks in PictoBlox.

Section 3 - Machine Learning

The third section of the AI curriculum for schools introduces students to machine learning and how to make ML-based projects such as a pose classifier and an AI-version of the Rock Paper Scissors game.

3.1 - Introduction to Machine Learning
How is machine learning similar to human learning? How does machine learning cycle work? Making ML models using the image in Teachable Machine. Use of ML models in PictoBlox to make ML projects.
3.2 - Rock Paper Scissor AI Game
How to make AI-based games? Making a Rock Paper Scissors Game.
3.3 - Pose Classifier
How to detect pose from image? Build a pose model in Teachable Machine to classify different poses. Using pose blocks in PictoBlox to make ML projects.

Section 4 - Ethics in AI

The fourth section of the AI curriculum for schools introduces students to ethics and why they are important to keep in mind when learning and applying concepts of AI and machine learning to their projects.

4.1 - Ethics in Artificial Intelligence
Understanding AI ethics. Training a False model.

Section 5 - Capstone Project

The final section of the AI curriculum for schools is where students get to apply all the concepts they have learned in the previous sections to make a project to solve a real-world problem of their choice.

What will you need to Conduct this Curriculum?

PictoBlox

Graphical Programming Software for kids to make games, animation and program robots.

Contact Us

Implement this curriculum at your school/activity center
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