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题名How visual word decoding and context-driven auditory semantic integration contribute to reading comprehension: A test of additive vs. multiplicative models
作者
发表日期2021-07-01
发表期刊Brain Sciences
ISSN/eISSN2076-3425
卷号11期号:7
摘要

Theories of reading comprehension emphasize decoding and listening comprehension as two essential components. The current study aimed to investigate how Chinese character decoding and context-driven auditory semantic integration contribute to reading comprehension in Chinese middle school students. Seventy-five middle school students were tested. Context-driven auditory semantic integration was assessed with speech-in-noise tests in which the fundamental frequency (F ) contours of spoken sentences were either kept natural or acoustically flattened, with the latter requiring a higher degree of contextual information. Statistical modeling with hierarchical regression was conducted to examine the contributions of Chinese character decoding and context-driven auditory semantic integration to reading comprehension. Performance in Chinese character decoding and auditory semantic integration scores with the flattened (but not natural) F sentences significantly predicted reading comprehension. Furthermore, the contributions of these two factors to reading comprehension were better fitted with an additive model instead of a multiplicative model. These findings indicate that reading comprehension in middle schoolers is associated with not only character decoding but also the listening ability to make better use of the sentential context for semantic integration in a severely degraded speech-in-noise condition. The results add to our better understanding of the multi-faceted reading comprehension in children. Future research could further address the age-dependent development and maturation of reading skills by examining and controlling other important cognitive variables, and apply neuroimaging techniques such as functional magmatic resonance imaging and electrophysiology to reveal the neural substrates and neural oscillatory patterns for the contribution of auditory semantic integration and the observed additive model to reading comprehension.

关键词Chinese character decoding Flattened F0 contours Nature F0 contours Reading comprehension Speech-in-noise recognition
DOI10.3390/brainsci11070830
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收录类别SCIE
语种英语English
WOS研究方向Neurosciences & Neurology
WOS类目Neurosciences
WOS记录号WOS:000676187300001
Scopus入藏号2-s2.0-85109164479
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/5991
专题理工科技学院
通讯作者Zhang, Linjun; Zhang, Yang
作者单位
1.Division of Science and Technology,BNU-HKBU United International College,Zhuhai,519087,China
2.Institute on Education Policy and Evaluation of International Students,Beijing Language and Culture University,Beijing,100083,China
3.Beijing Advanced Innovation Center for Language Resources and College of Advanced Chinese Training,Beijing Language and Culture University,Beijing,100083,China
4.State Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University,Beijing,100875,China
5.Department of Speech-Language-Hearing Sciences and Center for Neurobehavioral Development,University of Minnesota,Minneapolis,55455,United States
第一作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Li, Yu,Xing, Hongbing,Zhang, Linjunet al. How visual word decoding and context-driven auditory semantic integration contribute to reading comprehension: A test of additive vs. multiplicative models[J]. Brain Sciences, 2021, 11(7).
APA Li, Yu, Xing, Hongbing, Zhang, Linjun, Shu, Hua, & Zhang, Yang. (2021). How visual word decoding and context-driven auditory semantic integration contribute to reading comprehension: A test of additive vs. multiplicative models. Brain Sciences, 11(7).
MLA Li, Yu,et al."How visual word decoding and context-driven auditory semantic integration contribute to reading comprehension: A test of additive vs. multiplicative models". Brain Sciences 11.7(2021).
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