What are transformative learning processes?

Transformative processes are those discovery learning processes that 'generate knowledge'. By applying transformative learning processes learners 'transform' domain information into knowledge [1].

We distinguish the following transformative learning processes [2]:

• analysis: this is making an overview of the domain information (e.g., variables and relations between them);
• hypotheses generation: this the formulation of a relation between one or more variables in the simulation model;
• testing: involves those activities that are necessary for furnishing data on which the learner expects to be able to accept or refute a hypothesis, or to create a new hypothesis;
• data interpretation: this is interpreting the data without direct reference to model relations;
• evaluation and generalising: in which the results of the learning process are put into a more general context;