A Systematic Characterization of Cognitive Techniques for Learning from Textual and Pictorial Representations
A Systematic Characterization of Cognitive Techniques for Learning from Textual and Pictorial Representations
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从文本和图像表征中学习的认知技术的系统表征
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Sabine Schlag
中科院分区：
文献类型：
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作者：
R. Ploetzner;Richard K. Lowe;Sabine Schlag
图形表示在印刷和数字学习材料中都可以发挥关键作用。尽管人们对文本学习的认知技术和策略进行了广泛的研究，但对于静态和动态图像表示却并非如此。在本文中，我们提出了基于理论和实证研究的认知学习技术的系统表征。表征将学习技术与认知过程的类别以及文本和图像表示联系起来。我们展示了从纯文本和插图文本中学习的成功策略是如何被表征所涵盖的。我们还举例说明了如何通过表征来构建图像表征的新策略。
Pictorial representations can play a pivotal role in both printed and digital learning material. Although there has been extensive research on cognitive techniques and strategies for learning from text, the same cannot be said for static and dynamic pictorial representations. In this paper we propose a systematic characterization of cognitive learning techniques that is founded on both theoretical and empirical research. The characterization relates the learning techniques to classes of cognitive processes as well as to textual and pictorial representations. We show how successful strategies for learning from both plain text and illustrated text are covered by the characterization. We also exemplify how the construction of new strategies for pictorial representations can be informed by the characterization.