Artificial Intelligence Discovery Teaching Kit

Future starts in your classroom

Artificial Intelligence is one of the most important and fastest-developing contemporary technologies in the world. By introducing the concept of artificial intelligence at an early age, we are arming children with the knowledge that will give them a significant advantage in both their personal and professional lives.

With the Photon AI Discovery Kit, this concept can be introduced in an accessible way in any educational institution.

What is a typical lesson like?

Students use the numerous elements in the kit to create a smart-city model. Over time, they expand their designs, adding more buildings and elements that the robot can recognize and respond to.

> Check the manual

Project-based learning

The activities in the kit rely on the project work method, where the knowledge gained from the previous classes is applied in the ones that follow. The course is designed to expand the project with new elements and features in each subsequent class so that students increase their knowledge incrementally.

Introduce students to the concept of smartcity

Using the robot and the app, students will learn how AI recognizes colors, shapes, and entire objects, how smart checkouts recognize products and calculate the value of a shopping cart, and how autonomous vehicles can find their way around.

Use of interactive magnetic accessories

The kit offers interactive realia, such as mock-ups of buildings (stores, stalls, or public buildings), products (e.g. fruit, vegetables), and people or appliances (e.g. fridge). Some elements are equipped with magnetic attachments, making it easy to assemble the mock-ups in a school setting.

The Photon AI Discovery Kit is the world’s first complete teaching kit that introduces students to the fascinating world of AI.

Teaching resources

This kit is divided into two learning paths, each consisting of a series of 10 activities.

  • Path 1 – for children aged 7-9,
    90-minute classes.
  • Path 2 – for children aged 10-12,
    45-minute classes.

> Try out a free lesson plan

List of subjects covered in the AI Discovery Kit

# Topic Path 1 Path 2
1 Data vs. information
2 Programming vs. algorithm
3 Programming vs. AI
4 Image recognition
5 Text recognition
6 Distinctive features recognition
7 Face recognition (theory)
8 Machine Learning
9 The importance of quantity and quality of training data
10 Artificial intelligence – practical applications
11 BIAS and the impact of errors on artificial intelligence
12 AI and ethics

Example project: The robot is shopping

In previous projects, students have trained the robot to navigate through a smart city model, recognize store signs, and identify individual food items. In this project, by scanning a mock-up of a refrigerator, the robot will indicate what basic products are missing and suggest a shopping list. The students will also teach the robot in which stores to buy particular products. Based on the association of shopping list and shopping places, the robot will determine the list of stores it needs to visit. To finish things off, students perform an experiment where the robot drives around the smart city and searches for specific buildings the desired products.

Example project: Play tic-tac-toe with the robot

In this class, the children will learn that robots can be great players at chess and other games, such as tic-tac-toe. Using image recognition tools, you will create a gaming robot and teach it to play the ever-popular tic-tac-toe game. At the end of the activity, students will be able to challenge the robot in the game of tic-tac-toe.

The difficulty level (the robot’s ability to make mistakes) depends on how accurately the students teach the AI the behaviors for each game situation.

All a teacher needs in one box

  • Photon™ Robot for Education
  • Quick Start Guide for working with the kit
  • Lesson plans – Path 1
  • Lesson plans – Path 2
  • Smart City Educational mat
  • A set of interactive accessories (elements for building a smartcity):
    • Building models
    • Magnetic building signs
    • Roadblock
    • Traffic light models
    • Human models
    • Fridge mockup
    • Food product models
    • Tic-tac-toe game mockup
    • A set of magnetic cards for the tic-tac-toe game
    • A set of holders for accessories
  • Tablet / smartphone mount

Dedicated app

To help teachers introduce students to the brand new field of education that is artificial intelligence, we have developed dedicated app for mobile devices and computers. The app is divided into separate lessons, and each lesson contains 3 sections: knowledge, learning artificial intelligence, and experiment.

Working with an interactive whiteboard

The application allows for using an interactive whiteboard or monitor located in the classroom. This gives the teacher the opportunity to work with a whole group of students, doing exercises together and teaching AI on the big screen. The result of the work can be easily and at any time transferred to a mobile device and used in experiments.

Where to download the app?

The app is available for mobile devices and PCs. Introduction to the theory and teaching AI can be done through both. Practical experiments with the robot are only possible with mobile devices. The results of teaching AI can easily be transferred from a computer to a mobile device.

Mobile devices

The Photon AI app is available in AppStore or Google Play.


The Photon AI app is an integral part of the dedicated teacher application for computers, Photon Magic Bridge. By downloading it, we gain access to all our learning tools in one place on our computer. To download Photon Magic Bridge, click here.

Eksperci merytoryczni

Mariola Fik

Nauczyciel wychowania przedszkolnego, oligofrenopedagog i terapeuta pedagogiczny zafascynowana nowoczesnymi technologiami i ich wykorzystaniem w wychowaniu przedszkolnym. Renata to także trener, doradca, autorka programów szkoleniowych i szkoleniowiec w wielu projektach, w tym tych ogólnopolskich jak na przykład “Szkoła dla innowatora”. Wspomaga placówki edukacyjne w zakresie kształtowania kompetencji kluczowych.

Kamil Śliwowski

Trener i animator edukacji medialnej, specjalizuje się w wykorzystaniu nowych technologii w edukacji, zwłaszcza w konteście prawa autorskiego oraz ochrony prywatności. Na codzień współpracuje z fundacją Katalyst Education, Koalicją Otwartej Edukacji, Fundacją Panoptykon i
Creative Commons Polska. Autor gry edukacyjnej o prywatności w sieci “Trzęsienie danych”, bloguje o nowych technologiach i otwartych zasobach w edukacji na

Photon Moduł Sztuczna Inteligencja

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