Further Resources

To support both educators and students, we provide several open resources: academic publications and a comprehensive course handbook for teachers, as well as a detailed Glossary and practical Tool Listto help learners navigate key ML concepts and select suitable tools for their studies.
A white paper published on arXiv titled MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept.

• An extended conference paper Teaching Machine Learning to Programming Novices: An Action-Oriented Didactic Concept.
• A comprehensive Handbook offering examples for curriculum integration at universities or schools.
• A detailed Glossary complementing micro‑lectures that helps users quickly find specific topics.
• A practical Tool List comparing popular ML tools used in tutorials along with their advantages and disadvantages.