Computational thinking (CT) has become a necessity in many professional domains. As such, scholars argue that the acquisition of CT and application should be embedded in existing school subjects. Within the CT literature, a tax-onomy distinguishes CT practices in STEM education into four categories: data related, systems thinking, modeling & simulation and computational problem solving (CPSP). Practical applications of these different categories are still limited. This paper presents three examples in which edu-cators of science teachers integrate CT within STEM con-tent knowledge using the above mentioned taxonomy. The first example applies to CPSP and data practices, the sec-ond to CPSP exclusively, the final to systems thinking and modeling & simulation. The examples provide practical insight that makes the use of CT in STEM education more tangible for practitioners.
Additions to the book "Systems Design and Engineering" by Bonnema et.al. Subjects were chosen based on the Systems Engineering needs for Small and Medium Enterprises, as researched in the SESAME project. The
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This contribution presents three lesson activities for lower secondary education that were developed to teach system thinking in concert with subject matter. The pedagogical approach is described, leading to a practical design philosophy for lesson activities using qualitative representations. These representations allow for capturing basic qualitative notions, such as the entities that constitute the system, their changeable features referred to as quantities, and cause-effect relations that propagate changes between these quantities.
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