阅读理解
理解力
连贯性(哲学赌博策略)
计算机科学
召回
分类
任务(项目管理)
推论
认知心理学
自然语言处理
阅读(过程)
人工智能
心理学
语言学
数学
统计
哲学
管理
经济
程序设计语言
作者
Danielle S. McNamara,Walter Kintsch
标识
DOI:10.1080/01638539609544975
摘要
Two experiments, theoretically motivated by the construction‐integration model of comprehension (W. Kintsch, 1988), investigated effects of prior knowledge on learning from high‐ and low‐coherence history texts. In Experiment 1, participants' comprehension was examined through free recall, multiple‐choice questions, and a keyword sorting task. An advantage was found for the high‐coherence text on recall and multiple‐choice questions. However, high‐knowledge readers performed better on the sorting task after reading the low‐coherence text. In Experiment 2, participants' comprehension was examined through open‐ended questions and the sorting task both immediately and after a 1‐week delay. Little effect of delay was found, and the previous sorting task results failed to replicate. As predicted, high‐knowledge readers performed better on the open‐ended questions after reading the low‐coherence text. Reading times from both experiments indicated that the low‐coherence text requires more inference processes. These inferences are more likely to be successful and useful for high‐knowledge readers.
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