The strategy-specific nature of improvement: The power law applies by strategy within task
- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Peter F. Delaney, Associate Professor (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
Abstract: If strategy shifts speed up performance, learning curves should show discontinuities where such shifts occur. Relatively smooth curves appear consistently in the literature, however. To explore this incongruity, we examined learning when multiple strategies were used. We plotted power law learning curves for aggregated data from four mental arithmetic experiments and then plotted similar curves separately for each participant and strategy. We then evaluated the fits achieved by each group of curves. In all four experiments, plotting separately by strategy produced significantly better fits to individual participants’ data than did plotting a single power function. We conclude that improvement of solution time is better explained by practice on a strategy than by practice on a task, and that careful assessment of trial-by-trial changes in strategy can improve understanding of the effects of practice on learning.
The strategy-specific nature of improvement: The power law applies by strategy within task
PDF (Portable Document Format)
553 KB
Created on 1/1/1998
Views: 3927
Additional Information
- Publication
- Psychological Science, 9, 1-7
- Language: English
- Date: 1998
- Keywords
- power law, strategy shifts, learning curves