Changes in self-explanation while learning vector arithmetic

被引:0
|
作者
Kelley, TD [1 ]
Katz, IR [1 ]
机构
[1] George Mason Univ, Human Factors & Appl Cognit Program, Fairfax, VA 22030 USA
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中图分类号
H [语言、文字];
学科分类号
05 ;
摘要
Verbal elaboration of a worked example has been shown to be helpful to learners before attempting to solve similar problems. This has been termed as the self-explanation effect. (Chi, Bassok, Lewis, Reimann & Glaser, 1989). This study examined how self-explanation changes before and after sequential problem solving rounds. We found that changes in self-explanation within an individual may affect individual performance across a series of problem solving episodes. Also, some participants appear to use the worked-out example as a self-generated feedback (SGF) mechanism to help with their problem solving rounds, while other participants do not. Locations or points in a worked-out example where self-explanation (elaboration) is most likely to occur for students with higher performance scores versus those with lower performance scores, is discussed. The implications of these differences for the design of a computational cognitive model are also addressed.
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页码:258 / 263
页数:6
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