Title :
Reflections on interpretive structural modeling as technology of social learning
Author_Institution :
University of Dayton, Dayton, Ohio
Abstract :
In this paper, an example of Interpretive Structural Modeling (ISM) involving citizen´s definition of factors contributing to crime is developed. Working from this example, several ideas on how ISM can be developed as a technology of social learning are explored. A suggested structure of social learning is proposed, namely dialogue, decision, action, and evaluation. This structure of social learning is an aid to the analyst in designing ISM exercises.
Keywords :
Cities and towns; Consumer protection; Drugs; Guns; Legislation; Marine pollution; Samarium;
Conference_Titel :
Decision and Control including the 13th Symposium on Adaptive Processes, 1974 IEEE Conference on
Conference_Location :
Phoenix, AZ, USA
DOI :
10.1109/CDC.1974.270524