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Play & Learn with AI

Lesson plan introduction

Welcome to the "Learn & Play with AI" lesson plan. In six (6) courses, we will introduce kindergarten students to hands-on experience of the magical and playful world of Artificial Intelligence 

During this module, students can participate in hands-on projects where they will play, explore, and teach artificial intelligence in classifying or identifying different pictures, sounds, or poses for different objectives. Some of these objectives will include: 

  • Classification of different sums to 10 with finger calculations 

  • Classification of facial expressions & feelings 

  • Classification of Recyclable Materials & Nonrecyclable 

  • Classification of Colours 

  • Classification of Sign Language 

  • Classification of Musical Instruments 

In each lesson, students will use the AI teachable machine of Google which they will have to train by inserting different inputs depending on the objective of the course. The methods of input insertion will also differ based on the courses. Students will input different classes using picture files, sound files, or webcam. With those methods, children will have the chance to experience the use of teaching machines and experiment with the possibilities of artificial intelligence. 

Artificial intelligence (AI) tools are increasingly being used in the field of early childhood education to enhance learning and development among young children. The use of AI has shown that it can significantly improve children's concepts regarding AI, machine learning, computer science, robotics, and other skills such as creativity, emotion control, collaborative inquiry, literacy skills, and computational thinking. In our courses, AI creates interactive and engaging educational games that help children develop skills in STEM areas such as maths, language, and problem-solving and foster a well-rounded understanding of machine learning basics. 

1. AI of Emotions

In this lesson, students will be given emoji cards that display 3 different emotions and separated into 3 teams for each emoji. Then, each team will work with the educator to dramatize the emotion of the emoji students hold in their hands. Students then proceed to teach AI how to classify those 3 emotional expressions. They stand in front of the camera to use their feeling expression as inputs for each class. After the teaching of the machine ends,  the game starts, and each student stands in front of the camera displaying any of the three emotions to test if the AI machine can classify and correct their emotional expressions. 

2. Finger Calculator

Finger calculation is a common method used in math lessons in preschool education. During this lesson, students will be given cards that display finger calculations. After they add the numbers that the fingers in the cards are displaying and find the sum, they will team up according to the sum number.  Each team will try to teach the machine the different combinations of attends that sum their team’s number to create a finger calculator.

3. Recycle Machine

Recycling in kindergarten is a valuable educational experience that can help young children understand environmental responsibility and sustainability early. In this lesson, students will classify everyday items they use at school as recyclable and non-recyclable. Two teams will be created, one for its category. The teams must display different items in the webcam to teach AI to classify the recyclables from the non-recyclables. 

4. Colours and AI

Students will teach AI the basic colour palette. After they teach it, they will test its accuracy by displaying different objects in the webcam. Then the colour game starts. Students will display items with different colour shades and test if the AI can identify the colour combinations.

5. Find the musical instrument

The educator separates the students into 2 teams. Each team is handed a different musical instrument. One of the teams is provided with a classical guitar and the other with a drum. The teams are free to experiment with their musical instrument and their sound. The teaching then starts, and students must teach the AI to classify each instrument by sound.

6. Multilingual AI 

This case is about teaching sign language through pose inputs to the AI machine. Students are introduced to 3 signs of the words “hello”, “goodbye”, and “thank you”. Then, the educator separates children into 3 teams and guides students to perform those signs to familiarise themselves with the sign language. The children will try to teach the AI system with pose inputs via the computer’s webcam. 

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