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The role of metacognitive skills in learning to solve problems

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Study I: Pilot 59<br />

the spontaneous or au<strong>to</strong>matic transfer <strong>of</strong> these highly practiced <strong>skills</strong> <strong>in</strong><br />

a somewhat new context. With ‘varied practice’ Salomon and Perk<strong>in</strong>s<br />

refer <strong>to</strong> the fact that “A cognitive element is learned and practiced <strong>in</strong><br />

a variety <strong>of</strong> contexts until it becomes quite au<strong>to</strong>matic and somewhat<br />

flexible because <strong>of</strong> the variety” (Salomon & Perk<strong>in</strong>s, 1989, p. 120). This<br />

<strong>in</strong>vokes au<strong>to</strong>matization; there is no need for elaborate reflection when<br />

be<strong>in</strong>g confronted with a comparable situation that prompts the welllearned<br />

behaviour <strong>to</strong> occur.<br />

High-road transfer concerns the <strong>in</strong>tentional and m<strong>in</strong>dful abstraction<br />

from knowledge <strong>in</strong> one context and the application <strong>of</strong> this knowledge <strong>in</strong><br />

another situation. Abstraction <strong>in</strong>volves the extraction <strong>of</strong> generic characteristics<br />

or general rules and pr<strong>in</strong>ciples from the learned material. Contextual<br />

details that were perhaps prom<strong>in</strong>ently present <strong>in</strong> the learn<strong>in</strong>g<br />

material are no longer important. “Abstraction thus <strong>in</strong>volves decontextualisation<br />

and representation <strong>of</strong> the decontextualized <strong>in</strong>formation <strong>in</strong> a<br />

new, more general form subsum<strong>in</strong>g other cases” (Salomon & Perk<strong>in</strong>s,<br />

1989, p. 125). With us<strong>in</strong>g the term ‘m<strong>in</strong>dful’ Salomon and Perk<strong>in</strong>s<br />

refer <strong>to</strong> the fact that hav<strong>in</strong>g mere abstractions is not sufficient. Learners<br />

should also understand and be able <strong>to</strong> use such abstractions. Such<br />

understand<strong>in</strong>g is the result <strong>of</strong> active learn<strong>in</strong>g, where the learner has control<br />

over the learn<strong>in</strong>g process. High-road transfer is guided by the use<br />

<strong>of</strong> <strong>metacognitive</strong> <strong>skills</strong> (Brown, Bransford, Ferrara & Campione, 1983;<br />

Salomon & Perk<strong>in</strong>s, 1989). Metacognitive <strong>skills</strong> such as reflect<strong>in</strong>g on the<br />

nature <strong>of</strong> a problem, comprehension moni<strong>to</strong>r<strong>in</strong>g, plann<strong>in</strong>g, or reflect<strong>in</strong>g<br />

on the problem solv<strong>in</strong>g process are at the core <strong>of</strong> transfer <strong>of</strong> learn<strong>in</strong>g<br />

(Mayer, 2002). Georghiades (2000) argues that a learner who reflects on<br />

his or her learn<strong>in</strong>g process (that is, a <strong>metacognitive</strong> learner) reaches a<br />

deeper understand<strong>in</strong>g <strong>of</strong> the course material. This concerns mean<strong>in</strong>gful<br />

learn<strong>in</strong>g which is the basis for transfer. Reach<strong>in</strong>g better understand<strong>in</strong>g<br />

means that the learner “...will be able <strong>to</strong> identify the use and purpose<br />

<strong>of</strong> this knowledge, <strong>to</strong> handle learned material <strong>in</strong> a different manner and<br />

<strong>to</strong> explore potential use <strong>of</strong> this material under a number <strong>of</strong> different circumstances”<br />

(Georghiades, 2000, p. 128).<br />

In conclusion, the first hypothesis for this study proposes that constructivist<br />

learn<strong>in</strong>g environments support mean<strong>in</strong>gful learn<strong>in</strong>g. Mean<strong>in</strong>gful<br />

learn<strong>in</strong>g is a condition for transfer. In this study, transfer <strong>of</strong> knowledge<br />

is measured. In order <strong>to</strong> establish whether any transfer <strong>of</strong> knowledge<br />

occurs, low-road transfer is measured as it is more difficult <strong>to</strong> measure<br />

high-road transfer. <strong>The</strong> context used <strong>in</strong> this study <strong>to</strong> allow the measurement<br />

<strong>of</strong> transfer consists <strong>of</strong> a case that is similar <strong>to</strong> Coltec (see chapter<br />

3).

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