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Direct linkFeldman, Melanie; Hamsho, Narmene; Blacher, Jan; Carter, Alice S.; Eisenhower, Abbey – Grantee Submission, 2022
Autistic students often experience peer relationship difficulties. As peer acceptance and rejection may be malleable over time, we examined predictors of change in peer acceptance and peer rejection among early elementary-age autistic students. We followed 166 autistic children (mean age: 6.1 years [range: 4-8], 82.5% boys, grades preK-2nd)…
Descriptors: Peer Acceptance, Rejection (Psychology), Predictor Variables, Interpersonal Competence
D. S. Messinger; L. K. Perry; S. G. Mitsven; Y. Tao; J. Moffitt; R. M. Fasano; S. A. Custode; C. M. Jerry – Grantee Submission, 2022
Audio-visual recording and location tracking produce enormous quantities of digital data with which researchers can document children's everyday interactions in naturalistic settings and assessment contexts. Machine learning and other computational approaches can produce replicable, automated measurements of these big behavioral data. The…
Descriptors: Artificial Intelligence, Computation, Measurement Techniques, Automation
Zippert, Erica L.; Douglas, Ashli-Ann; Rittle-Johnson, Bethany – Grantee Submission, 2020
Both recent evidence and research-based early mathematics curricula indicate that repeating patterns--predictable sequences that follow a rule--are a topic of major importance for mathematics development. The purpose of the current study was to help build a theory for how early repeating patterning knowledge contributes to early math development,…
Descriptors: Prior Learning, Pattern Recognition, Preschool Education, Preschool Children
Virginia A. Marchman; Elizabeth C. Loi; Katherine A. Adams; Melanie Ashland; Anne Fernald; Heidi M. Feldman – Grantee Submission, 2018
Objective: Identifying which preterm children (PT) are at increased risk for language and learning differences increases opportunities for participation in interventions that improve outcomes. Speed in spoken language comprehension at early stages of language development requires information processing skills that may form the foundation for later…
Descriptors: Premature Infants, Language Acquisition, Comprehension, Predictor Variables
Matthew J. Salganik; Ian Lundberg; Alexander T. Kindel; Caitlin E. Ahearn; Khaled Al-Ghoneim; Abdullah Almaatouq; Drew M. Altschul; Jennie E. Brand; Nicole Bohme Carnegie; Ryan James Compton; Debanjan Datta; Thomas Davidson; Anna Filippova; Connor Gilroy; Brian J. Goode; Eaman Jahani; Ridhi Kashyap; Antje Kirchner; Stephen McKay; Allison C. Morgan; Alex Pentland; Kivan Polimis; Louis Raes; Daniel E. Rigobon; Claudia V. Roberts; Diana M. Stanescu; Yoshihiko Suhara; Adaner Usmani; Erik H. Wang; Muna Adem; Abdulla Alhajri; Bedoor AlShebli; Redwane Amin; Ryan B. Amos; Lisa P. Argyle; Livia Baer-Bositis; Moritz Büchi; Bo-Ryehn Chung; William Eggert; Gregory Faletto; Zhilin Fan; Jeremy Freese; Tejomay Gadgil; Josh Gagné; Yue Gao; Andrew Halpern-Manners; Sonia P. Hashim; Sonia Hausen; Guanhua He; Kimberly Higuera; Bernie Hogan; Ilana M. Horwitz; Lisa M. Hummel; Naman Jain; Kun Jin; David Jurgens; Patrick Kaminski; Areg Karapetyan; E. H. Kim; Ben Leizman; Naijia Liu; Malte Möser; Andrew E. Mack; Mayank Mahajan; Noah Mandell; Helge Marahrens; Diana Mercado-Garcia; Viola Mocz; Katariina Mueller-Gastell; Ahmed Musse; Qiankun Niu; William Nowak; Hamidreza Omidvar; Andrew Or; Karen Ouyang; Katy M. Pinto; Ethan Porter; Kristin E. Porter; Crystal Qian; Tamkinat Rauf; Anahit Sargsyan; Thomas Schaffner; Landon Schnabel; Bryan Schonfeld; Ben Sender; Jonathan D. Tang; Emma Tsurkov; Austin van Loon; Onur Varol; Xiafei Wang; Zhi Wang; Julia Wang; Flora Wang; Samantha Weissman; Kirstie Whitaker; Maria K. Wolters; Wei Lee Woon; James Wu; Catherine Wu; Kengran Yang; Jingwen Yin; Bingyu Zhao; Chenyun Zhu; Jeanne Brooks-Gunn; Barbara E. Engelhardt; Moritz Hardt; Dean Knox; Karen Levy; Arvind Narayanan; Brandon M. Stewart; Duncan J. Watts; Sara McLanahan – Grantee Submission, 2020
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning…
Descriptors: Life Satisfaction, Family Life, Quality of Life, Disadvantaged
Barnes, Marcia A.; Clemens, Nathan H.; Fall, Anna-Mária; Roberts, Greg; Klein, Alice; Starkey, Prentice; McCandliss, Bruce; Zucker, Tricia; Flynn, Kylie – Grantee Submission, 2020
Cognitive skill differences that are apparent early in pre-kindergarten (pre-K) might provide predictive insights into risk for learning difficulties at school entry, particularly around early markers of risk for comorbid difficulties in early math and literacy. Domain-specific abilities (approximate number system or ANS acuity, phonological…
Descriptors: Cognitive Ability, Predictor Variables, Reading Skills, Mathematics Skills
Ansari, Arya; Purtell, Kelly M. – Grantee Submission, 2018
Using nationally representative data from the Family and Child Experiences Survey 2009 Cohort (n = 2,798), this study examined patterns of absenteeism and their consequences through the transition to kindergarten. Overall, children were less likely to be absent in kindergarten than from Head Start at ages 3 and 4. Absenteeism was fairly stable…
Descriptors: Attendance, Kindergarten, Disadvantaged Youth, Preschool Education
Foster, Matthew E.; Anthony, Jason L.; Clements, Doug H.; Sarama, Julie H. – Grantee Submission, 2015
This study examined how well nonverbal IQ (or fluid intelligence), vocabulary, phonological awareness (PA), rapid autonomized naming (RAN), and phonological short-term memory (STM) predicted mathematics outcomes. The 208 participating kindergartners were administered tests of fluid intelligence, vocabulary, PA, RAN, STM, and numeracy in the fall…
Descriptors: Kindergarten, Mathematics Achievement, Outcomes of Education, Nonverbal Ability
Levinson, Sarah; Neuspiel, Juliana; Eisenhower, Abbey; Blacher, Jan – Grantee Submission, 2020
ASD symptomology and behavioral problems pose challenges for children with ASD in school. Disagreement between parents and teachers in ratings of children's behavior problems may provide clinically relevant information. We examined parent-teacher disagreement on ratings of behavior problems among children with ASD during the fall and spring of the…
Descriptors: Autism, Symptoms (Individual Disorders), Pervasive Developmental Disorders, Behavior Problems
Balyan, Renu; Crossley, Scott A.; Brown, William, III; Karter, Andrew J.; McNamara, Danielle S.; Liu, Jennifer Y.; Lyles, Courtney R.; Schillinger, Dean – Grantee Submission, 2019
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patient health literacy challenging. The objective of this study was to develop and validate…
Descriptors: Patients, Literacy, Health Services, Profiles
Knight, Erin; Blacher, Jan; Eisenhower, Abbey – Grantee Submission, 2018
Relationships between early literacy measures (i.e., curriculum-based measurement) and advanced literacy measures (i.e., reading comprehension) were examined in young children with autism spectrum disorders (ASDs). Participants in this study were 167 children between the ages of 4 and 7 years (M = 5 years 8 months), who were assessed at 2 time…
Descriptors: Predictor Variables, Reading Comprehension, Young Children, Autism
Cirino, Paul T.; Tolar, Tammy D.; Fuchs, Lynn S.; Huston-Warren, Emily – Grantee Submission, 2016
There is a strong research base on the underlying concomitants of early developing math skills. Fewer studies have focused on later developing skills. Here, we focused on direct and indirect contributions of cognitive measures (e.g., language, spatial skills, working memory) and numerosity measures, as well as arithmetic proficiency, on key…
Descriptors: Mathematics Skills, Fractions, Grade 6, Middle School Students
Rittle-Johnson, Bethany; Zippert, Erica L.; Boice, Katherine L. – Grantee Submission, 2018
Because math knowledge begins to develop at a young age to varying degrees, it is important to identify foundational cognitive and academic skills that might contribute to its development. The current study focused on two important, but often overlooked skills that recent evidence suggests are important contributors to early math development:…
Descriptors: Preschool Children, Mathematics, Mathematics Skills, Knowledge Level
Foreman-Murray, Lindsay; Fuchs, Lynn S. – Grantee Submission, 2018
Student explanations of their mathematical thinking and conclusions have become a greater part of the assessment landscape in recent years. With a sample of 71 4th-grade students at-risk for mathematics learning disabilities, we investigated the relation between student accuracy in comparing the magnitude of fractions and the quality of students'…
Descriptors: Elementary School Students, Grade 4, Elementary School Mathematics, Mathematics Skills
Dore, Rebecca A.; Smith, Eric D.; Lillard, Angeline S. – Grantee Submission, 2017
Adults adopt the traits of characters in narratives, but little is known about whether children do so. In Study 1, 7- and 10-year-olds (N = 96) heard a 2.5-minute recording about a professor or cheerleader. Reporting higher engagement in the professor narrative related to more time playing with an analytical toy (a Rubik's cube), whereas reporting…
Descriptors: Elementary School Students, Young Children, Personality Traits, Modeling (Psychology)
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