Leinfelder Year

Children think informatically

Basics of computational thinking - Computational Thinking (CT)

Admission requirements

none

Semester: 7

Orientation

Digitality

Focus

AI changes learning

Aim

Computational thinking (CT) is establishing itself as the fourth cultural technique alongside reading, writing and arithmetic. CT describes the ability to identify problems, examine them critically and then creatively capture, model and formalise solutions in such a way that they can be processed with the help of digital end devices (algorithmisation of solutions through constructionist action). The basic principles and ways of thinking of computer science are used to understand the digitalised world and to be able to shape it.

Content

• Playful approach to puzzles and simple problems
• Simple instructions for solving problems (pseudocode)
• Basic concepts of algorithms: Sequences, loops, and conditional statements
• Programming solutions as digital artefacts
• Understanding computer science through haptic experiences (physical computing)
• Sub-areas of computer science thinking: problem decomposition, abstraction, pattern recognition, generalisation, evaluation, algorithms.
• Basic computer science concepts such as algorithms, data, etc.
• Artificial intelligence and machine learning
• Ideas for age-appropriate realisations