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On transformation learning theory
Author(s) -
Venda Valery F.
Publication year - 1986
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830310102
Subject(s) - monotonic function , generalization , transformation (genetics) , process (computing) , learning curve , artificial intelligence , computer science , subject (documents) , microanalysis , mathematics , mathematical analysis , chemistry , organic chemistry , biochemistry , library science , gene , operating system
This article deals with learning processes in individual human beings. There were eight subjects. Each subject monitored needle deflections from one to six electric meters. Each meter could be controlled by a corresponding switch. The data in this and related experiments were subjected to various forms of micro–and macroanalysis. Sufficiently detailed microanalysis always indicates that learning curves are not monotonic, but macroanalysis at a sufficiently high level of generalization always makes them appear to be monotonic. Since strategies are transformed during the process of learning, the data of experimental learning curves should not be smooth because this masks interesting learning peculiarities.