The Effects of Exercise and Alternating Task Modules in Skill Acquisition

Author(s):  
Barry P. Goettl ◽  
Wayne L. Shebilske ◽  
Cathy Connolly-Gomez ◽  
Linda Robertson-Schulé

One class of theories of the spacing effect suggests that arousal may inhibit learning during massed practice. The goal of this study was explore the role of exercise on the spacing effect. Participants practiced three complex tasks (i.e., Space Fortress, algebra word problems, and a desk-top flight simulator) under four training conditions. Participants trained under massed or alternating task modules regimes, with or without moderate exercise. Results indicated that alternating tasks enhanced acquisition and retention performance on Space Fortress. In addition, exercise inhibited retention performance. These same trends were obtained for algebra word problem solving and for a desktop flight simulator task. These findings replicate previous studies showing an advantage for alternating task modules and challenge theories suggesting that the spacing effect is the result of deficient processing due to lower arousal level. Results suggest that exercise may reduce mental rehearsal or implicit processes that alternating task modules promote.

2020 ◽  
Vol 32 (2) ◽  
pp. 189-211 ◽  
Author(s):  
Frank Reinhold ◽  
Sarah Hofer ◽  
Michal Berkowitz ◽  
Anselm Strohmaier ◽  
Sarah Scheuerer ◽  
...  

1987 ◽  
Vol 31 (6) ◽  
pp. 652-656 ◽  
Author(s):  
Arthur D. Fisk

Two experiments examined the effects of inter-component consistency on skill acquisition in a class of cognitive demanding tasks requiring rapid integration of information as well as rapid application of rules. The role of consistency of external stimulus-to-rule linkage in facilitating the learning and performing of a rule-based classification task was examined. The present data have implications for the understanding and training of skilled problem solving tasks. When training allows the development of automatization of subcomponents of the problem solving activity, the chance of memory overload is reduced. The present data point to one such trainable subcomponent clearly present in most real-world problem solving situations - the perceptual and rule-based components.


2017 ◽  
Vol 63 (2) ◽  
pp. 179-197 ◽  
Author(s):  
Nonmanut Pongsakdi ◽  
Eero Laakkonen ◽  
Teija Laine ◽  
Koen Veermans ◽  
Minna M. Hannula-Sormunen ◽  
...  

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