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Verdine, Brian N.; Lucca, Kelsey R.; Golinkoff, Roberta M.; Hirsch-Pasek, Kathryn.; Newcombe, Nora S. – Grantee Submission, 2016
How do toddlers learn the names of geometric forms? Previous work suggests that preschoolers have fragmentary knowledge and that defining properties are not understood until well into elementary school. The current study investigated when children first begin to understand shape names and how they apply those labels to unusual instances. We tested…
Descriptors: Young Children, Geometric Concepts, Toddlers, Naming
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Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Grantee Submission, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
Jeans, Laurie M.; Santos, Rosa Milagros; Laxman, Daniel J.; McBride, Brent A.; Dyer, W. Justin – Grantee Submission, 2013
Current clinical diagnosis of Autism Spectrum Disorders (ASD) occurs between 3 and 4 years of age, but increasing evidence indicates that intervention begun earlier may improve outcomes. Using secondary analysis of the Early Childhood Longitudinal Study-Birth Cohort data set, the current study identifies early predictors prior to the diagnosis of…
Descriptors: Pervasive Developmental Disorders, Autism, Predictor Variables, Young Children