AI in STEM Education

Fünf farbige Illustrationen mit thematischen Bezügen zu den KI-Projekten

Machine Learning in School

Secondary School
Mathematics, Computer Science
Machine Learning, Artificial Intelligence

Interactive learning units on artifical neural networks

Recycling Smart

Secondary School
Nature and Technology, Computer Science
Artificial Intelligence, Machine Learning, Coding, Robotics, Sustainability

Constructing and coding a smart recycling system

First Steps in AI and Data Analysis

Primary School, Secondary School
Nature and Technology, Primary School, Science, Mathematics, Computer Science
Artificial Intelligence, Machine Learning, Data analysis

Getting to know Big Data and generative AI

STEM Resources 4.0

Secondary School
Natural Sciences, Mathematics, Biology, Computer Science, Chemistry
Artificial Intelligence, Machine Learning, Coding, STEAM

Creating educational resources in class using AI

EcoKids Teach AI

Primary School
Nature and Technology, Primary School, Science, Computer Science
Artificial Intelligence, Machine Learning, Coding, Sustainability, Robotics

Making recycling fun with AI superpowers

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AI in school: preparing for the future

As artificial intelligence becomes more and more present in our daily lives, both in the workplace and in leisure spaces as well as in the education sector, it is important for students to familiarise themselves with its concepts and applications. Furthermore, artificial intelligence is becoming a critical topic for their future professional careers. In the labour market of the future, AI areas such as automation, data analysis and machine learning are transforming business processes and creating new opportunities in many sectors. Therefore, knowledge and skills in AI can increase students’ future job opportunities. Check out our career orientation resources.

Teaching about artificial intelligence in STEM classes promotes students' digital literacy, critical thinking, problem-solving and creativity. For this reason, AI should be an integral part of the STEM curriculum. Read more on AI in Education: Theory and Practice here.

„Teaching with AI offers great new opportunities for teachers and students. Teaching about AI is an important new task for the education system. Therefore, Amazon Future Engineer is proud to be partnering with Science on Stage on this innovative project.“

Michael Vollmann

Europe Lead Education – Amazon

Video greeting by Michael Vollmann, Europe Lead Education at AFE:

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Key Visual of the AI in STEM Challenge

Have our AI teaching materials inspired you, or have you already developed an exciting project yourself? We invite students and their teachers to apply for our AI Challenge with an innovative approach to using AI by 23 February 2025. Learn more about the competition and how to apply here.

About the project and the authors

In 2023, Science on Stage Germany initiated the project “AI in STEM Education” in order to help teachers integrate this rapidly evolving topic into the classroom. An international team of coordinators identified promising teaching ideas on the topics of artificial intelligence and machine learning within the European Science on Stage network. The concepts and resources were then written up and translated for publication as digital teaching and learning units in English and German, launched at the European Science on Stage Festival in Turku in August 2024.

We are grateful to our authors, teachers Selçuk Yusuf Arslan and his team (Türkiye), Daniel Janssen (Germany), Cláudia Meirinhos (Portugal), Paulo Torcato (Portugal) and Paul Tyler (UK), for their commitment and generosity in sharing their teaching concepts. Learn more about them and the other people behind the project here.

The teaching materials were proofread and revised by volunteers from the Science on Stage network to ensure their applicability. Special thanks go to Liliana Fernandes (Portugal), Dr. Ian Robinson (UK) and Karen Wilkening (Germany) for their contributions and input. We would also like thank Lúcio Bothelho, Kulvinder Kaur Johal, Carsten Müller, Paul Nugent and Dr. Jenny Schlüpmann for their valuable advice and feedback during the editing process.

Key Visual of the project Coding for our Future

We hope that our AI teaching materials will provide you with a wealth of ideas and resources for your STEM lessons. Please join in and share the materials with your colleagues.

Are you interested in organising teacher training on our teaching materials or other topics related to programming at your school or online? We offer grants for workshops and seminars. You can find more information about the funding scheme and the application forms here.

Understanding, applying, coding