Abstract
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.
Original language | English |
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Pages (from-to) | 321-333 |
Number of pages | 13 |
Journal | Computers in Human Behavior |
Volume | 22 |
Issue number | 3 |
Early online date | 31 Jul 2004 |
DOIs | |
Publication status | Published - May 2006 |
Keywords
- learning task selection
- complex cognitive skills
- cognitive load