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Showing 1 to 15 of 40 results Save | Export
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Heilmann, John; Miller, Jon F. – Perspectives of the ASHA Special Interest Groups, 2023
Purpose: In the early 1980s, researchers and speech-language pathologists (SLPs) collaborated to develop the Systematic Analysis of Language Transcripts (SALT). Research and development over the ensuing decades has culminated into SALT Solutions, a set of tools to assist SLPs to efficiently complete language sample analysis (LSA) with their…
Descriptors: Sampling, Language Usage, Data Analysis, Data Collection
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Lee, Victor R.; Dubovi, Ilana – Journal of the Learning Sciences, 2020
This article reports on an exploratory study of quantitative data use situated in families' management routines while taking care of a child with Type 1 diabetes (T1D). T1D treatment requires frequent measurement and recording of numerical data about blood sugar concentration, nutritional intake, and insulin dosage at the child's home, at school,…
Descriptors: Family Involvement, Diabetes, Child Caregivers, Information Storage
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Fayed, Karim; Franken, Birgit; Berkling, Kay – Research-publishing.net, 2020
The iRead EU Project has released literacy games for Spanish, German, Greek, and English for L1 and L2 acquisition. In order to understand the impact of these games on reading skills for L1 German pupils, the authors employed an eye-tracking recording of pupils' readings on a weekly basis as part of an after-school reading club. This work seeks to…
Descriptors: Eye Movements, Measurement, Data Interpretation, Reading Skills
Heslop, Jo; Tamez, Lucia Quintero; Parkes, Jenny – Institute of Education - London, 2021
While violence against children (VAC) has been a long-established global concern, more recently attention has been drawn to how violence occurs in and around schools (VACS) and the role of education in preventing and responding to violence. Whilst awareness about VACS is growing, more robust data are needed to inform policy and practice. Concerns…
Descriptors: Violence, Children, School Violence, Bullying
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Moreno-Estevaa, Enrique Garcia; White, Sonia L. J.; Wood, Joanne M.; Black, Alex A. – Frontline Learning Research, 2018
In this research, we aimed to investigate the visual-cognitive behaviours of a sample of 106 children in Year 3 (8.8 ± 0.3 years) while completing a mathematics bar-graph task. Eye movements were recorded while children completed the task and the patterns of eye movements were explored using machine learning approaches. Two different techniques of…
Descriptors: Artificial Intelligence, Man Machine Systems, Mathematics Education, Eye Movements
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Erb, Christopher D. – Journal of Cognition and Development, 2018
Developmental theory has long emphasized the importance of linking perception, cognition, and action. Techniques designed to record the spatial and temporal characteristics of hand movements (i.e., "manual dynamics") present new opportunities to study the nature of these links across development by providing a window into how perceptual,…
Descriptors: Motor Reactions, Children, Measurement Techniques, Adults
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Malone, Susan Kohl; Zemel, Babette S. – Journal of School Nursing, 2015
The landscape of childhood health and disease has changed over the past century, and school nurses are now in a unique position to address the conditions that lead to chronic disease, such as obesity. Measuring body mass index (BMI) during childhood and adolescence is the recommended method for screening and/or monitoring obesity in school…
Descriptors: Body Composition, Measurement, Children, Adolescents
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Saffran, Andrea; Barchfeld, Petra; Sodian, Beate; Alibali, Martha W. – Developmental Psychology, 2016
In a series of 3 experiments, the authors investigated the influence of symmetry of variables on children's and adults' data interpretation. They hypothesized that symmetrical (i.e., present/present) variables would support correct interpretations more than asymmetrical (i.e., present/absent) variables. Participants were asked to judge covariation…
Descriptors: Children, Adults, Age Differences, Data Interpretation
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Bishop, D. V. M. – Journal of Child Psychology and Psychiatry, 2013
Background: Our ability to look at structure and function of a living brain has increased exponentially since the early 1970s. Many studies of developmental disorders now routinely include a brain imaging or electrophysiological component. Amid current enthusiasm for applications of neuroscience to educational interventions, we need to pause to…
Descriptors: Neurosciences, Intervention, Language Impairments, Children
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Warren, Elizabeth; Cooper, Tom – Educational Studies in Mathematics, 2008
A common approach used for introducing algebra to young adolescents is an exploration of visual growth patterns and expressing these patterns as functions and algebraic expressions. Past research has indicated that many adolescents experience difficulties with this approach. This paper explores teaching actions and thinking that begins to bridge…
Descriptors: Age, Children, Algebra, Data Interpretation
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Feeney, Aidan; Wilburn, Catherine – Cognition, 2008
Although Sloutsky agrees with our interpretation of our data, he argues that the totality of the evidence supports his claim that children make inductive generalisations on the basis of similarity. Here we take issue with his characterisation of the alternative hypotheses in his informal analysis of the data, and suggest that a thorough Bayesian…
Descriptors: Bayesian Statistics, Logical Thinking, Child Development, Children
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Parette, Howard P.; Blum, Craig; Boeckmann, Nichole M. – Early Childhood Education Journal, 2009
As assistive technology applications are increasingly implemented in early childhood settings for children who are at risk or who have disabilities, it is critical that teachers utilize observational approaches to determine whether targeted assistive technology-supported interventions make a difference in children's learning. One structured…
Descriptors: Early Childhood Education, Children, Educational Technology, Assistive Technology
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Masnick, Amy M.; Morris, Bradley J. – Child Development, 2008
A crucial skill in scientific and everyday reasoning is the ability to interpret data. The present study examined how data features influence data interpretation. In Experiment 1, one hundred and thirty-three 9-year-olds, 12-year-olds, and college students (mean age = 20 years) were shown a series of data sets that varied in the number of…
Descriptors: Data Interpretation, Data Analysis, Children, Preadolescents
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Hojnoski, Robin L.; Caskie, Grace I. L.; Gischlar, Karen L.; Key, Jennifer M.; Barry, Amberly; Hughes, Cheyenne L. – Journal of Early Intervention, 2009
The ability to collect, organize graphically, understand, interpret, and use data to make decisions is becoming more central to the role of early childhood practitioners. One consideration in practitioner use of data is the acceptability of the method of data display. The purpose of this study was to explore Head Start teachers' preference for and…
Descriptors: Disadvantaged Youth, Children, Data Analysis, Teaching Methods
Atkinson, Mary; Martin, Kerry; Downing, Dick; Harland, Jennie; Kendall, Sally; White, Richard – National Foundation for Educational Research, 2007
With many thousands of home-educated children across the UK, the subject of support for the home-education community is widely debated. A report conducted by the NFER for the Esmee Fairbairn Foundation is based on detailed interviews with 20 home educators and presents findings on support needs. This Research Briefing illustrates some key findings…
Descriptors: Home Schooling, Needs Assessment, Foreign Countries, Technical Assistance
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