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Using a computer simulation to compare expert/novice problem-solving subroutines
Authors:Catherine D Ennis  Margaret J Safrit
Institution:This research was conducted while Catherine Ennis was a faculty member at the University of Wisconsin-Madison, where Margaret Safrit is a faculty member in the School of Education. Address correspondence to Dr Ennis at the Department of Kinesiology, PERH Building, University of Maryland, College Park, Maryland 20742-2611, USA.
Abstract:Hierarchical problem-solving strategies employed in solving exercise science problems were examined in this study, which also tested the validity of an educational computer simulation. Hypothesis testing was used as the theoretical base for the study of differences in problem-solving within the computer simulation. In a previous study two groups of undergraduate (novices) and graduate students were compared in their ability to solve exercise science problems. The present study added a group of faculty (experts) who were presented with the same simulation protocol as the other subjects. Protocol analysis and the Pitt coding system were used to analyse verbal data. Group differences were examined statistically. The faculty were superior in interpreting data and used the Basic Heuristic and Pattern Extraction strategies for the generation and use of algorithms. The problem-solving strategies varied for each group based on the perceived difficulty of the problem, the knowledge base available, and the similarity of the given problem to previous problems.
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