Effects of causal text revisions on more- and less-skilled readers' comprehension of easy and difficult texts
Effects of causal text revisions on more- and less-skilled readers' comprehension of easy and difficult texts
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DOI：
10.1207/s1532690xci1804_4
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发表时间：
2000-01-01
影响因子：
3.3
通讯作者：
Samuels, J
中科院分区：
文献类型：
--
作者：
Linderholm, T;Everson, MG;Samuels, J
因果结构的重要性在语篇理解研究中得到了很好的证明。本研究探讨了如何通过修复因果结构来改善简单和困难的文本，以及因果结构修复如何不同地影响技能较高和技能较低的读者的理解。根据理解的因果网络理论，进行了原则性和可复制的修复类型。因果关系修复包括：（a）按时间顺序排列文本事件;（B）使隐含目标明确化;（c）修复由于解释不充分、多重因果关系或遥远的因果关系造成的连贯中断。熟练程度不同的读者会阅读简单和困难历史文本的修订版和原版。结果表明，更多的和不太熟练的读者受益于修订，但只有困难的文本。理解的因果网络理论为语篇的修改提供了一种恰当而系统的方法。
The importance of causal structure has been well documented in text comprehension research. This study investigates how both easy and difficult texts can be improved by repairing the causal structure and how causal structure repairs can differentially affect comprehension for more- and less-skilled readers. Following causal network theories of comprehension, principled and replicable types of repairs were made. Causal repairs consisted of(a) arranging text events in temporal order; (b) making implicit goals explicit; and (c) repairing coherence breaks caused by inadequate explanation, multiple causality, or distant causal relations. More- and less-skilled readers read revised and original versions of easy and difficult history texts. Results indicate that both more and less-skilled readers benefited from the revisions but only for the difficult text. Causal network theories of comprehension provide an appropriate and systematic method for revising texts.