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Literature Review on Skill Fade - Human Factors Integration ...

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HFIDTC/2/WP10.3/2<br />

Versi<strong>on</strong> No. 1/ 25 May 2007<br />

4 Paper 2: Healy et al. (1998): L<strong>on</strong>g-Term Retenti<strong>on</strong><br />

of Knowledge and <strong>Skill</strong>s<br />

Healy et al. (1998) c<strong>on</strong>ducted numerous original studies investigating eight areas<br />

affecting the acquisiti<strong>on</strong> and l<strong>on</strong>g term retenti<strong>on</strong> of knowledge and skills. The aim of the<br />

team was to produce recommendati<strong>on</strong>s for effective training. Healy et al. felt their<br />

research was distinguished from previous research in five ways.<br />

1. They aimed to improve performance after the retenti<strong>on</strong> period rather than<br />

assuming better retenti<strong>on</strong> from optimised performance during training. With this<br />

in mind, they aimed to identify training c<strong>on</strong>diti<strong>on</strong>s that allowed performance to<br />

remain l<strong>on</strong>g after training.<br />

2. Healy et al. used retenti<strong>on</strong> periods of weeks, m<strong>on</strong>ths and even <strong>on</strong>e to two years.<br />

3. A combinati<strong>on</strong> of two experimental procedures, structural and analytic. Using a<br />

structural approach Healey et al. aimed to identify and describe the elements of<br />

different skills. They assessed the skill comp<strong>on</strong>ents for their retenti<strong>on</strong><br />

characteristics by refining existing experimental methods.<br />

4. They c<strong>on</strong>ducted comparable experiments over a range of skills with the aim of<br />

eliciting the stable training guidelines for general tasks or specific tasks.<br />

5. Instead of looking at retenti<strong>on</strong> from the perspective of accuracy, they reviewed<br />

retenti<strong>on</strong> as a functi<strong>on</strong> of the percentage of subjects who retained the accuracy<br />

criteria as a functi<strong>on</strong> of delay.<br />

From their research, Healy et al. found three classes that optimise l<strong>on</strong>g term retenti<strong>on</strong>.<br />

The three classes relate to:<br />

1. Optimising the c<strong>on</strong>diti<strong>on</strong>s of training,<br />

2. Optimising the learning strategy used, and<br />

3. Achieving automatic levels of processing.<br />

All three classes are discussed in more detail in secti<strong>on</strong>s 4.1 to 4.3.<br />

4.1 Class One - Optimising C<strong>on</strong>diti<strong>on</strong>s of Training<br />

Healy et al. identified three general guidelines for optimising training c<strong>on</strong>diti<strong>on</strong>s:<br />

4.1.1 C<strong>on</strong>textual interference<br />

An example of c<strong>on</strong>textual interference is random sequences of tasks as opposed to fixed<br />

or predicted sequences. In the experiments c<strong>on</strong>ducted by Healy et al. c<strong>on</strong>textual<br />

interference increased l<strong>on</strong>g term retenti<strong>on</strong> of knowledge. It was presumed that the<br />

9

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