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Knowledge Organization and the Acquisition of Procedural Expertise
Author(s) -
Zeitz Colleen M.,
Spoehr Kathryn T.
Publication year - 1989
Publication title -
applied cognitive psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 100
eISSN - 1099-0720
pISSN - 0888-4080
DOI - 10.1002/acp.2350030404
Subject(s) - troubleshooting , psychology , procedural knowledge , descriptive knowledge , knowledge acquisition , domain (mathematical analysis) , domain knowledge , mental representation , cognitive psychology , knowledge base , knowledge management , cognition , computer science , artificial intelligence , mathematical analysis , mathematics , neuroscience , operating system
The influence of the organization of a declarative knowledge base on the development and application of proceduralized knowledge was investigated in a complex troubleshooting domain. Domain explanations were generated in either a depth‐first or breadth‐first manner for different groups of subjects who were also given experience learning to troubleshoot in the domain. Although the two explanatory structures led to similar training performance, the two groups differed significantly in their overall level of performance in subsequent troubleshooting problems. Examination of objective measures of troubleshooting performance and think‐aloud protocols indicated that breadth‐first declarative knowledge representation fosters the use of mental models during problem‐solving in training. It also facilitates proceduralization of that knowledge into fast and accurate methods for localizing faults.