Double-loop learning: Difference between revisions

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generative learning is not double loop learning. Generative learning is a theory whereby learners generate links between new knowledge and preexisting schema (https://link.springer.com/referenceworkentry/10.1007%2F978-1-4419-1428-6_171)
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'''Double-loop learning''' entails the modification of [[goal]]s or [[decision-making]] rules in the light of experience. The first loop uses the goals or decision-making rules, the second loop enables their modification, hence "double-loop". Double-loop learning recognises that the way a problem is defined and solved can be a source of the problem.<ref name=c-argyris-learning>{{cite journal |last1=Argyris |first1=Chris |authorlink=Chris Argyris |title=Teaching smart people how to learn |journal=[[Harvard Business Review]] |date=May 1991 |volume=69 |issue=3 |pages=99–109 |url=http://pds8.egloos.com/pds/200805/20/87/chris_argyris_learning.pdf |accessdate=22 November 2015}}</ref> This type of learning can be useful in [[organizational learning]] since it can drive creativity and [[innovation]], going beyond adapting to change to anticipating or being ahead of change.<ref name="Malone">{{Cite book|title=Learning about Learning|last=Malone|first=Samuel A.|publisher=[[Chartered Institute of Personnel and Development]]|year=2003|isbn=0852929897|oclc=52879237|___location=London|page=[https://books.google.com/books?id=ubxwtycv-xUC&pg=PA80 80]}}</ref>
 
== Concept ==