Shared Reading and Science Vocabulary for Kindergarten Students.
Ontology highlight
ABSTRACT: Supplementary information
The online version contains supplementary material available at 10.1007/s10643-021-01288-w.
SUBMITTER: Gibbs AS
PROVIDER: S-EPMC8635310 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The ability to predict upcoming information is crucial for efficient language processing and enables more rapid language learning. The present study explored how shared reading experience influenced predictive brain signals and expressive vocabulary of 12-month-old infants. The predictive brain signals were measured by fNIRS responses in the occipital lobe with an unexpected visual-omission task. The amount of shared reading experience was correlated with the strength of this predictive brain signal and with infants’ expressive vocabulary. Importantly, the predictive brain signal explained unique variance of expressive vocabulary beyond shared reading experience and maternal education. A further mediation analysis showed that the effect of shared reading experience on expressive vocabulary was explained by the infants’ predictive brain signal. This is the first evidence indicating that richer shared reading experience strengthens predictive signals in the infant brain and in turn facilitates expressive vocabulary acquisition.
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Project description:ObjectiveTo assess the extent to which associations between shared reading at age 1 years and child vocabulary at age 3 years differ based on the presence of sensitizing alleles in the dopaminergic and serotonergic neurotransmitter systems.Study designWe conducted a secondary analysis of data from a national urban birth cohort using mother reports in conjunction with child assessments and salivary genetic data. Child vocabulary was assessed using the Peabody Picture Vocabulary Test. The primary exposure was mother-reported shared reading. We used data on gene variants that may affect the function of the dopaminergic and serotonergic systems. We examined associations between shared reading and Peabody Picture Vocabulary Test score using multiple linear regression. We then included interaction terms between shared reading and the presence of sensitizing alleles for each polymorphism to assess potential moderator effects adjusting for multiple comparisons.ResultsOf the 1772 children included (56% black, 52% male), 31% of their mothers reported reading with their child daily. Daily shared reading was strongly associated with child Peabody Picture Vocabulary Test scores in unadjusted (B = 7.9; 95% CI, 4.3-11.4) and adjusted models (B = 5.3; 95% CI, 2.0-8.6). The association differed based on the presence of sensitizing alleles in the dopamine receptor 2 and serotonin transporter genes.ConclusionsAmong urban children, shared reading at age 1 years was associated with greater vocabulary at age 3 years. Although children with sensitizing alleles on the dopamine receptor 2 and serotonin transporter genes were at greater risk when not read to, they fared as well as children without these alleles when shared reading occurred.
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Project description:In this large-scale study of students from Title 1 schools (N = 14,773), we used multiple-group latent change score (LCS) modeling to investigate the developmental relations between vocabulary knowledge and reading comprehension in students with a school-identified learning disability (LD, n = 627) and typically developing students (n = 14,146). Students were tested for their vocabulary breadth and passage comprehension skills in Kindergarten through fourth grade. For typically developing students, there were bidirectional influences between their vocabulary knowledge and reading comprehension skills. There were no cross-lagged influences across constructs for students with an LD. We find evidence for a developmental delay, such that students with an LD had similar levels and gains in their vocabulary knowledge relative to typically developing students, but these students started much lower in their reading comprehension skills and did not catch up to their typically developing peers. We discuss the implications for children with learning disabilities and the development of their reading comprehension skills.
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Project description:Gough and Tunmer's (1986) simple view of reading (SVR) proposed that reading comprehension (RC) is a function of language comprehension (LC) and word recognition/decoding. Braze et al. (2007) presented data suggesting an extension of the SVR in which knowledge of vocabulary (V) affected RC over and above the effects of LC. Tunmer and Chapman (2012) found a similar independent contribution of V to RC when the data were analyzed by hierarchical regression. However, additional analysis by factor analysis and structural equation modeling indicated that the effect of V on RC was, in fact, completely captured by LC itself and there was no need to posit a separate direct effect of V on RC. In the present study, we present new data from young adults with sub-optimal reading skill (N = 286). Latent variable and regression analyses support Gough and Tunmer's original proposal and the conclusions of Tunmer and Chapman that V can be considered a component of LC and not an independent contributor to RC.
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Project description:BackgroundAlthough children's curiosity is thought to be important for early learning, the association of curiosity with early academic achievement has not been tested. We hypothesized that greater curiosity would be associated with greater kindergarten academic achievement in reading and math.MethodsSample included 6200 children in the Early Childhood Longitudinal Study, Birth Cohort. Measures at kindergarten included direct assessments of reading and math, and a parent-report behavioral questionnaire from which we derived measures of curiosity and effortful control. Multivariate linear regression examined associations of curiosity with kindergarten reading and math academic achievement, adjusting for effortful control and confounders. We also tested for moderation by effortful control, sex, and socioeconomic status (SES).ResultsIn adjusted models, greater curiosity was associated with greater kindergarten reading and math academic achievement: breading = 0.11, p < 0.001; bmath = 0.12, p < 0.001. This association was not moderated by effortful control or sex, but was moderated by SES (preading = 0.01; pmath = 0.005). The association of curiosity with academic achievement was greater for children with low SES (breading = 0.18, p < 0.001; bmath = 0.20, p < 0.001), versus high SES (breading = 0.08, p = 0.004; bmath = 0.07, p < 0.001).ConclusionsCuriosity may be an important, yet under-recognized contributor to academic achievement. Fostering curiosity may optimize academic achievement at kindergarten, especially for children with low SES.
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Project description:Retrieval practice of isolated words (e.g., with flashcards) enhances foreign vocabulary learning. However, vocabulary is often encountered in context. We investigated whether retrieval opportunities also enhance contextualized word learning. In two within-subjects experiments, participants encoded 24 foreign words and then read a story to further strengthen word knowledge. The story contained eight target words in a retrieval context, which required participants to recall word meaning from memory to understand the text (e.g., "She borrowed a knyga"), and eight target words in an inference context from which meaning could be inferred (e.g., "She read a knyga" [book]). After 1 to 2 days, a posttest measured word retention. Reading the words in either the retrieval or inference context increased retention, compared to control words not included in the story. Moreover, in Experiment 1, retention was significantly higher in the inference than in the retrieval condition. In Experiment 2, in which encoding before reading was more extensive and feedback was available, no differences in retention were found between the inference and retrieval + feedback condition (both increased retention, compared to control words). Overall, the findings suggest that the benefits of retrieval may be less pronounced during incidental, contextualized learning than during intentional exercises and that retrieval success must be considered when adding retrieval opportunities to contextualized learning. Under low retrieval success, the better comprehension afforded by an informative context may outweigh the benefits of retrieval opportunities (Exp.1). Yet even when retrieval success was enhanced and feedback was added (Exp. 2), retrieval opportunities were only as beneficial as exposure to rich contextual information.
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Project description:We introduce a new Dutch receptive vocabulary test, the Dutch auditory & image vocabulary test (DAIVT). The test is multiple choice and assesses vocabulary knowledge for spoken words. The measure has an online (available at https://tpsurvey.ugent.be/limesurvey315/index.php/923234?lang=nl) format, has free access, and allows easy data collection. The test was developed with the intent to enable testing for research purposes with university students. This paper describes the test construction. We cover three phases: 1) collecting stimulus materials and developing the test's first version, 2) an exploratory item-analysis on the first draft (n = 93), and 3) validating the test (both the second and the final version) by comparing it to two existing tests (n = 270, n = 157). The results indicate that the test is reliable and correlates well with existing Dutch receptive vocabulary tests (convergent validity). The final version of the DAIVT comprises 90 test items and 1 practice item. It can be used freely for research purposes.
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Project description:By 15 April 2020, more than 1.5 billion students worldwide experienced school closures in an effort to slow the spread of a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), during the worldwide coronavirus disease 2019 (COVID-19) pandemic. These interruptions in formal in-person educational experiences caused adverse consequences on school-age children's academic outcomes. Using a pre-existing database, we calculated changes in children's reading ability without formal education (i.e., the summer months). The resultant models predicted that the rate of reading ability gain in kindergarten children during COVID-19 school closures without formal in-person education will decrease 66% (2.46 vs. 7.17 points/100 days), compared to the business-as-usual scenario, resulting in a 31% less reading ability gain from 1 January 2020 to 1 September 2020. Additionally, the model predicted that kindergarten children who have books read to them daily would have 2.3 points less loss (42%) compared to those who do not, who are predicted to have a 5.6-point loss during the same time period. Even though reading books to children will not substitute the critical role of formal education in teaching children how to read, families, educators, and policy makers can promote this simple strategy to facilitate and maintain reading ability gain during school closures, which may be a common occurrence as nations see the public health benefits of physical distancing for the current and future pandemic outbreaks.
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Project description:According to the Home Literacy Model (Sénéchal and LeFevre, 2002, 2014), young children can be exposed to two distinct types of literacy activities at home. First, meaning-related literacy activities are those where print is present but is not the focus of the parent-child interaction, for example, when parents read storybooks to their children. In contrast, code-related literacy activities focus on the print, for example, activities such as when parents teach their children the names and sounds of letters or to read words. The present study was conducted to expand the Home Literacy Model by examining its relation with children's engagement in literacy activities at home and at school as Finnish children transitioned from kindergarten to Grades 1 and 2. Two facets of children's engagement were examined, namely, children's independent reading at home and their interest in literacy activities. Children (N = 378) were tested and interviewed at the ends of kindergarten, Grade 1, and Grade 2. Mothers completed questionnaires on their home literacy activities at each test time, and they reported the frequency with which their children read independently twice when children were in grade school. Tested was a longitudinal model of the hypothesized relations among maternal home literacy activities (shared reading and teaching of reading), children's reading skills, independent reading, and their interest in literacy activities/tasks as children progressed from kindergarten to Grade 2. Stringent path analyses that included all auto-regressors were conducted. Findings extended previous research in four ways. First, the frequency of shared reading and teaching of reading at home predicted the frequency of children's independent reading 1 year later. Second, children with stronger early literacy skills in kindergarten read independently more frequently once they were in Grade 1. Third, parents adapted, from kindergarten to Grade 1, their teaching behaviors to their children's progress in reading, whereas shared reading decreased over time. Fourth, children's own reports of interest in literacy activities were mostly not linked to other variables. Taken together, these results add another layer to the Home Literacy Model.
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Project description:Background. Accurate diagnosis of patients' preferences is central to shared decision making. Missing from clinical practice is an approach that links pretreatment preferences and patient-reported outcomes. Objective. We propose a Bayesian collaborative filtering (CF) algorithm that combines pretreatment preferences and patient-reported outcomes to provide treatment recommendations. Design. We present the methodological details of a Bayesian CF algorithm designed to accomplish 3 tasks: 1) eliciting patient preferences using conjoint analysis surveys, 2) clustering patients into preference phenotypes, and 3) making treatment recommendations based on the posttreatment satisfaction of like-minded patients. We conduct a series of simulation studies to test the algorithm and to compare it to a 2-stage approach. Results. The Bayesian CF algorithm and 2-stage approaches performed similarly when there was extensive overlap between preference phenotypes. When the treatment was moderately associated with satisfaction, both methods made accurate recommendations. The kappa estimates measuring agreement between the true and predicted recommendations were 0.70 (95% confidence interval = 0.052-0.88) and 0.73 (0.56-0.90) under the Bayesian CF and 2-stage approaches, respectively. The 2-stage approach failed to converge in settings in which clusters were well separated, whereas the Bayesian CF algorithm produced acceptable results, with kappas of 0.73 (0.56-0.90) and 0.83 (0.69-0.97) for scenarios with moderate and large treatment effects, respectively. Limitations. Our approach assumes that the patient population is composed of distinct preference phenotypes, there is association between treatment and outcomes, and treatment effects vary across phenotypes. Findings are also limited to simulated data. Conclusion. The Bayesian CF algorithm is feasible, provides accurate cluster treatment recommendations, and outperforms 2-stage estimation when clusters are well separated. As such, the approach serves as a roadmap for incorporating predictive analytics into shared decision making.
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