Abstract
Optimizing technical systems depends on scientifically grounded models of system performance. Similarly, the development of engineering and technology education systems fruitfully builds upon relevant learning theories. Engineering and technology involve complex skills and concepts embedded in rich contexts. We review learning theories particularly appropriate for supporting learning of such complex concepts in rich contexts, drawing heavily on information processing, distributed cognition and cognitive apprenticeship.
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Schunn, C.D., Silk, E.M. (2011). Learning Theories For Engineering and Technology Education. In: Barak, M., Hacker, M. (eds) Fostering Human Development Through Engineering and Technology Education. International Technology Education Studies, vol 6. SensePublishers. https://doi.org/10.1007/978-94-6091-549-9_1
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DOI: https://doi.org/10.1007/978-94-6091-549-9_1
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