European Union Education and Awareness for Intelligent Systems ENARIS Materials Back

Welcome to ENARIS

The material is freely available for everybody and published under the Creative Commons 4.0 By-Sa-license. For further information about the project visit

The goal of the ENARIS-project is to help educate children about the possibilities, limitations and inner workings of AI-systems.

About the material

  • Made for class room usage
  • Adaptable to the needs of the class
  • Tailored to educators
  • Independently usable and each module ranges from 1 to 4 hours
  • Available in digital (online and offline) and printable form

Every module contains:

  • A teacher guide with lesson plans, a general structure and a concise writeup of the whole topic
  • All required material (slides, hand-outs, worksheets)
  • Exercises in different difficulties
  • A variety of additional methods

All material is meant to be modified/adapted to the need of the class, therefore hints are given on good ways to modify (skip or elaborate on specific passages), options are provided on different types of exercise (e.g. hands-on or online) and all the source code of the material is available for easy adaptation.

For people who do not want to read from screens, all pages are also available for print as pdf-files.

Furthermore, different sections are color-coded to be easily distinguishable:

Text in a yellow box (besides headings) contains additional information, that is not an integral part of the topic but contains useful hints or further references.

Content with a dotted border contains practical exercises which include using online-tools, pen-and-paper-exercises, games and more.

Many different teaching methods are used throughout the modules, a short description on how they work and which purpose they fulfill can be found here.

Finally, everything is available for download and offline use:

All images, if not stated otherwise, are from sites like Pixabay or Pexels and free to use or created for the purpose of this project.


AI Basics

This module serves as a basic introduction to the topic of Artificial Intelligence (AI). The goal of this lesson is to introduce basic AI terminology, that will be used inside the other modules as well as in AI science in general. More in-depth look at the methods and how they work will then take place in later modules.

Module 1: AI Basics


In this module, fundamental ethical aspects in the field of AI research are to be dealt with. The students should learn to ask critical questions independently and to uncover tensions between individual basic ethical principles by independently developing and revising catalogs of rules.

Module 2: Ethics

Supervised Learning

This module is about Supervised Learning. The goal is to provide the students with a basic understanding of what SL is, what it can and cannot do as well as how one can train SL-algorithms. It focuses more on the practical side, therefore students will train their own algorithms and experience the possibilities and problems first-hand.

Module 3: Supervised Learning