Collection of Links

Here you will find links to other interesting web materials for teaching data science and artificial intelligence, some of which have been created in cooperation with the ProDaBi project.

Artificial intelligence and machine learning in lower secondary education

Learning path for pupils - decision trees with data cards

The learning path “Decide like an AI” was created in cooperation between ProDaBi and inf-schule.de. It offers a supplement to the food data cards developed in ProDaBi and the corresponding series of lessons on decision trees.
The learning path is prepared for pupils and has the following introductory text: “In this learning path, you are to create an artificial intelligence (AI) that decides whether a food is recommended or not recommended based on its nutritional values. You will train your AI yourself with selected foods in order to have a decision-making aid for other foods afterwards.”

Links:

KI-Campus self-study course for teachers - Machine learning with decision trees

The course “Decision trees do it yourself (DIY) - Data-based decision making” introduces you to working with real and multivariate data. This is an offer for teachers who would like to learn more about machine learning in a self-study course. It covers two areas of content. The first area relates to exploring and examining data and the second area is AI and machine learning with data-based decision trees. The aim is to understand, from a teacher's perspective, what data-based decision trees are, how they are created in a data-based and automated way in the sense of machine learning and how they are subsequently evaluated. Teaching suggestions and materials are provided directly in the form of a “didactic double-decker”.

Links:

Learning paths for pupils - decision trees & artificial neural networks

The learning paths on decision trees and artificial neural networks, which can be found under the following link, were designed by Christian Opitz and were partly created in cooperation with ProDaBi. They are also linked in the official NRW learning plan navigator and can be worked on directly by pupils. 

Links:

Learning track for pupils - black box application for training a learning system for classifying images

The learning path “Learning Systems” offers a low-threshold black box introduction to machine learning, in which pupils can acquire basic knowledge about these learning systems. The “Teachable Machine” from Google complements this learning path well for independent training of an AI.

Links:

Zeitungsartikel - Gesellschaftliche Debatte zu Daten und KI

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Links:

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Links:

Learning path for pupils - decision trees with data cards

The learning path “Decide like an AI” was created in cooperation between ProDaBi and inf-schule.de. It offers a supplement to the food data cards developed in ProDaBi and the corresponding series of lessons on decision trees.
The learning path is prepared for pupils and has the following introductory text: “In this learning path, you are to create an artificial intelligence (AI) that decides whether a food is recommended or not recommended based on its nutritional values. You will train your AI yourself with selected foods in order to have a decision-making aid for other foods afterwards.”

Links:

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