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A comparison of approaches to learning task selection in the training of complex cognitive skills [An article from: Computers in Human Behavior]
Description
This digital document is a journal article from Computers in Human Behavior, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This paper presents a comparison of learning task selection approaches that have been used throughout the last three decades in the training of complex cognitive skills. In general, a development from static part-task selection to dynamic whole-task selection can be noticed. The four approaches of static part-task approaches, static whole-task approaches, dynamic part-task approaches, and dynamic whole-task approaches are identified and compared in terms of their flexibility and adaptability to the needs of the individual trainee during training. The comparison shows that dynamic whole-task approaches are the most flexible and adaptive. For each approach it is discussed to what complex cognitive skills they might be useful training methods.
Description:
This paper presents a comparison of learning task selection approaches that have been used throughout the last three decades in the training of complex cognitive skills. In general, a development from static part-task selection to dynamic whole-task selection can be noticed. The four approaches of static part-task approaches, static whole-task approaches, dynamic part-task approaches, and dynamic whole-task approaches are identified and compared in terms of their flexibility and adaptability to the needs of the individual trainee during training. The comparison shows that dynamic whole-task approaches are the most flexible and adaptive. For each approach it is discussed to what complex cognitive skills they might be useful training methods.
