What is discovery learning?
Discovery learning is the process of inferring properties on the basis of information. In simulation based learning, for example, the main activities of the learner are to change values of input variables, observe values of output variables, and discover (infer) in this way the properties of the underlying model.
Discovery learning finds its roots in the Gestalt psychology
and the work by Bruner [1].
The field of study into discovery learning has, over the last
few decades, moved away from concept discovery (as in Bruner's
studies) towards what has been called "scientific discovery
learning". Theories on scientific discovery learning are
usually based on theories of scientific discovery. Scientific
reasoning comprises the abilities to "(a) define a scientific
problem; (b) state a hypothesis; (c) design an experiment; (d)
observe, collect, analyze, and interpret data; (e) apply the results;
and (f) make predictions on the basis of the results." (p.
173). For discovery learning processes a distinction can be made
between transformative processes (processes
that directly yield knowledge such as the ones mentioned above)
and regulative processes (processes that
are necessary to manage the discovery process such as such as
planning and monitoring).