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Article: Vocabulary exposure to children is enhanced by using both informational and narrative picture books for read-alouds: A comparative modelling study using data science methods

TitleVocabulary exposure to children is enhanced by using both informational and narrative picture books for read-alouds: A comparative modelling study using data science methods
Authors
Keywordsdata science
emergent literacy
language development
picture books
vocabulary
Issue Date22-Jun-2024
PublisherWiley
Citation
Journal of Research in Reading, 2024 How to Cite?
AbstractBackground: The language that children are exposed to in their early years is enhanced by children's picture books. It is important to better characterise this input, and recent research has begun to explore corpora of narrative picture books. However, previous research has been restricted by methodological limitations that make it difficult to develop large datasets. Further, information texts become increasingly important as children progress through school, but little is known about the language of their earliest form, namely, informational picture books. The current study investigates how informational and narrative picture book exposure might change the language environment of children in a way that supports reading development. Methods: The study applies data science methods to build a larger language model than previously possible and investigates the lexical profile of over 2000 narrative and information picture books. Picture book vocabulary is innovatively derived from digital sources of books read-aloud online, which pushes the field forward by providing researchers access to larger pools of data than previously possible. Detailed comparisons of informational and narrative picture books are reported regarding their lexical diversity, density, morphology, academic vocabulary and semantic clusters. Models are developed to estimate the additional word-type exposure a child may encounter in their language environment from narrative and informational picture books. Results: The study demonstrates that information and narrative picture books expose children to substantially different semantic environments. It is demonstrated that information picture books provide extensive exposure to academic vocabulary, providing important input aligned with later reading needs. Further, computational models indicate that book reading once every day or second day over a year might boost unique-word exposure by approximately 10% for some language environments. Conclusions: Combining informational and narrative picture books enhance the language environment of children more than narratives alone, providing more lexical diversity, density and complex morphology.
Persistent Identifierhttp://hdl.handle.net/10722/346328
ISSN
2023 Impact Factor: 2.0
2023 SCImago Journal Rankings: 1.133

 

DC FieldValueLanguage
dc.contributor.authorGreen, Clarence-
dc.contributor.authorKeogh, Kathleen-
dc.date.accessioned2024-09-14T00:30:35Z-
dc.date.available2024-09-14T00:30:35Z-
dc.date.issued2024-06-22-
dc.identifier.citationJournal of Research in Reading, 2024-
dc.identifier.issn0141-0423-
dc.identifier.urihttp://hdl.handle.net/10722/346328-
dc.description.abstractBackground: The language that children are exposed to in their early years is enhanced by children's picture books. It is important to better characterise this input, and recent research has begun to explore corpora of narrative picture books. However, previous research has been restricted by methodological limitations that make it difficult to develop large datasets. Further, information texts become increasingly important as children progress through school, but little is known about the language of their earliest form, namely, informational picture books. The current study investigates how informational and narrative picture book exposure might change the language environment of children in a way that supports reading development. Methods: The study applies data science methods to build a larger language model than previously possible and investigates the lexical profile of over 2000 narrative and information picture books. Picture book vocabulary is innovatively derived from digital sources of books read-aloud online, which pushes the field forward by providing researchers access to larger pools of data than previously possible. Detailed comparisons of informational and narrative picture books are reported regarding their lexical diversity, density, morphology, academic vocabulary and semantic clusters. Models are developed to estimate the additional word-type exposure a child may encounter in their language environment from narrative and informational picture books. Results: The study demonstrates that information and narrative picture books expose children to substantially different semantic environments. It is demonstrated that information picture books provide extensive exposure to academic vocabulary, providing important input aligned with later reading needs. Further, computational models indicate that book reading once every day or second day over a year might boost unique-word exposure by approximately 10% for some language environments. Conclusions: Combining informational and narrative picture books enhance the language environment of children more than narratives alone, providing more lexical diversity, density and complex morphology.-
dc.languageeng-
dc.publisherWiley-
dc.relation.ispartofJournal of Research in Reading-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectdata science-
dc.subjectemergent literacy-
dc.subjectlanguage development-
dc.subjectpicture books-
dc.subjectvocabulary-
dc.titleVocabulary exposure to children is enhanced by using both informational and narrative picture books for read-alouds: A comparative modelling study using data science methods-
dc.typeArticle-
dc.identifier.doi10.1111/1467-9817.12462-
dc.identifier.scopuseid_2-s2.0-85196650206-
dc.identifier.eissn1467-9817-
dc.identifier.issnl0141-0423-

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