Independent reading offers children opportunities to learn the spellings and meanings of words. Evidence to date shows that older children take advantage of these orthographic and semantic learning opportunities. We provided a much-needed test of whether young readers can acquire spellings and meanings of novel words through independent reading as well as of whether each of these skills explains individual differences in word reading and reading comprehension. To test theory stringently, we assessed whether these effects are separable from those of decoding. A sample of 66 English-speaking children in Grades 1 and 2 independently read stories containing novel words referring to new inventions (e.g., a veap used to clean fish tanks). We scored accuracy in reading the novel words in the stories to assess target decoding. Children completed choice measures evaluating their learning of the novel words' spellings and meanings along with word reading and reading comprehension and controls for age, short-term memory, vocabulary, and phonological awareness. Scores for both the orthographic and semantic learning measures were higher with successful decoding than without it. At both grade levels, children were above chance in choosing correct spellings and meanings even when they had not accurately decoded the target a single time. In terms of individual differences, after accounting for controls including target decoding, orthographic learning was related to word reading and semantic learning was related to reading comprehension. Young children have powerful skill in learning spellings and meanings through their independent reading, with highly specific impacts of such learning on reading outcomes.
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http://dx.doi.org/10.1016/j.jecp.2018.12.007 | DOI Listing |
Dyslexia
February 2025
Laboratoire CNRS ICAR, UMR 5191, CNRS, Université Lyon 2 et ENS de Lyon.
Despite the persistent difficulties of people with dyslexia concerning writing, few studies examine the impact of dyslexia on the dynamic aspects of written text production. Our objective is to examine the written productions of students with dyslexia (N = 21), compared with matched control students (N = 22), taking into consideration online indicators. They were asked to produce spontaneous narrative and expository texts.
View Article and Find Full Text PDFZhonghua Yi Shi Za Zhi
September 2024
School of Traditional Chinese Medcine, Captial Medical University, Beijing100069, China.
has forty volumes, compiled by Lou Ying in the Ming Dynasty. The classification of this book was based on the diseases of viscera and relevant treatment methods. It has unique literature research value because it involved a large number of medical literature before the Ming Dynasty including and many great works of popular physicians after that.
View Article and Find Full Text PDFJAMA Netw Open
November 2024
Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
Heliyon
October 2024
RETINES Laboratory, Doctoral School - ED 85, Côte d'Azur University, France.
The aim of this paper is to understand how the main drivers of air pollution and greenhouse emissions impact public health in a Smart Territory - meaning a technologically integrated city or neighborhood - as well as how to design an optimized energy system model beyond only data by including the holistic experience of its people through phenomenology and ethics. We understand that a Territory and a City is a complex system where mathematical tool modeling known as Design of Experiment (DOE) and its optimization solutions are required to establish causality and identify the variables that have a broader impact on public health so that mortality rates due to air pollution are reduced. DOE's statistical branch is a novel methodology when applied to energy systems and the design of Smart Territories and Cities.
View Article and Find Full Text PDFSensors (Basel)
August 2024
School of Science, Donghua University, Shanghai 201620, China.
Named entity recognition is a critical task in the electronic medical record management system for rehabilitation robots. Handwritten documents often contain spelling errors and illegible handwriting, and healthcare professionals frequently use different terminologies. These issues adversely affect the robot's judgment and precise operations.
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