Their application in prediction is the major quality of engineering models, as they are used to predict whether future innovations, processes or systems shall be able to perform intended functions. Prediction requires correlation, but not necessarily a causal connection. This means that the demands on models for prediction are lower than on scientific models that strive to be useful for explanation of natural phenomena (cf. Scriven, 1988). Engineering models are also used to facilitate communication and to illustrate problems and principles. One of the core communication capabilities of the engineering community is to use graphical representations of objects and processes in the form of sketches, drawings, diagrams and charts (Ferguson, 1992; Mitcham, 1994). Therefore, the ability to create, use/apply, evaluate and revise models are necessary skills for acquiring an in-depth understanding of both technological development processes and scientific practice and are a core component for pursuing authentic learning in technology, mathematics and science classrooms (Schwarz et al., 2009).