When Computational Thinking is considered especially from a STEM lesson perspective, further Computation Thinking skills can be added to the elements of the problem-solving process already shown: data collection, data analysis, and data representation. These elements are especially trained in experiment-based science and technology lessons:

• When an experiment is conducted, various measurement data are acquired.
• When these data are evaluated, certain patterns can be recognized.
• When the measurement data are visualized, for example, using graphs, the data are abstracted.

Consequently, the handling of measurement data offers another point of contact for Computational Thinking.