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The role of metacognitive skills in learning to solve problems

The role of metacognitive skills in learning to solve problems

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Chapter 8<br />

SUMMARY<br />

In the world <strong>of</strong> education, the currently prevail<strong>in</strong>g paradigm is constructivism.<br />

This learn<strong>in</strong>g theory states that knowledge construction is<br />

an active process <strong>in</strong> which self-regulation and reflection are important.<br />

Games and simulations fit well with this paradigm because players are<br />

able <strong>to</strong> explore and experiment <strong>in</strong> a realistic sett<strong>in</strong>g. Several empirical<br />

studies however <strong>in</strong>dicate that learn<strong>in</strong>g is not optimal <strong>in</strong> such environments.<br />

This ma<strong>in</strong>ly appears <strong>to</strong> be due <strong>to</strong> the fact that learners are not<br />

sufficiently guided <strong>in</strong> their learn<strong>in</strong>g process. <strong>The</strong> question is what k<strong>in</strong>d<br />

<strong>of</strong> support one could add <strong>to</strong> a constructivist environment, that focuses<br />

on learn<strong>in</strong>g <strong>to</strong> <strong>solve</strong> <strong>problems</strong>, <strong>to</strong> make learn<strong>in</strong>g more effective. It is<br />

proposed <strong>to</strong> use a systematic approach <strong>to</strong> problem solv<strong>in</strong>g <strong>in</strong> the form <strong>of</strong><br />

a compiled task model. Research has shown that the <strong>in</strong>clusion <strong>of</strong> such a<br />

task model could enhance knowledge acquisition and regulation <strong>of</strong> learn<strong>in</strong>g.<br />

<strong>The</strong> ma<strong>in</strong> aim <strong>of</strong> this research project is <strong>to</strong> <strong>in</strong>vestigate the <strong>role</strong> <strong>of</strong><br />

metacognition <strong>in</strong> learn<strong>in</strong>g <strong>to</strong> <strong>solve</strong> <strong>problems</strong> <strong>in</strong> constructivist learn<strong>in</strong>g<br />

environments.<br />

In chapter 2 the theoretical foundation is described that underp<strong>in</strong>s the<br />

empirical studies <strong>of</strong> this research project. It concludes with a theoretical<br />

model that predicts how learn<strong>in</strong>g <strong>to</strong> <strong>solve</strong> <strong>problems</strong> occurs.<br />

In the theoretical model, three levels are dist<strong>in</strong>guished. <strong>The</strong>se are the<br />

object-, task- and meta-level. <strong>The</strong> object-level is doma<strong>in</strong>-dependent. It<br />

consists <strong>of</strong> doma<strong>in</strong>-specific knowledge and cognitive activities related <strong>to</strong><br />

it. A learner who is not aware <strong>of</strong> higher levels <strong>in</strong> the problem solv<strong>in</strong>g<br />

process than the object-level only has a limited control over the reason<strong>in</strong>g<br />

process. When a learner is aware <strong>of</strong> higher levels, cognitive activities<br />

can be ordered <strong>in</strong> such a way that they represent a systematic approach<br />

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