The use of hierarchical problem solving subroutines in the solution of exercise science problems

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Catherine D. Ennis, Professor (Creator)
The University of North Carolina at Greensboro (UNCG )
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Abstract: Hierarchical problem solving strategies employed in solving science problems were examined in this study. Hypothesis testing was used as the theoretical base for the study of differences in problem solving within a computer simulation framework. Undergraduate and graduate students in exercise science were asked to solve a series of problems associated with physiological assessment and exercise prescription formulation. Protocol analysis and the Pitt coding system were used to analyse verbal data, and group differences were examined statistically. Both graduates and undergraduates responded correctly to a substantial portion of the questions. However, graduates displayed the ability to define and delineate the problem better than undergraduates. Both groups used all six problem solving strategies, although the graduates often provided a significantly greater number of responses within subroutines of the strategy. Although the graduates appeared to be more efficient problem solvers, they did not consistently exhibit the ability to extract and summarize critical patterns typically associated with expertise.

Additional Information

Journal of Computer Assisted Learning, 7(4), 241-254.
Language: English
Date: 1991
Problem solving, Computer simulation, Protocol analysis, Physiological assessment, Exercise prescription, Education, Physical educator training, Expertise

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