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Direct linkKent, Gráinne; Pitsia, Vasiliki; Colton, Gary – Early Child Development and Care, 2020
The first year of a child's life has been considered important in shaping their cognitive development. The research literature has identified area-based socio-economic disadvantage as a possible risk factor for cognitive development but has suggested that various factors may facilitate children's resilience to socio-economic disadvantage. This…
Descriptors: Cognitive Development, Preschool Children, Economically Disadvantaged, Socioeconomic Status
Kapa, Leah L.; Erikson, Jessie A. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The purpose of this study was to examine the relationship between executive functioning and word learning among preschoolers with and without developmental language disorder (DLD). Method: Forty-one preschool-age children with DLD were matched to typically developing children on age and sex. Participants were exposed to 10 novel…
Descriptors: Executive Function, Word Recognition, Preschool Children, Developmental Disabilities
Yakubu, Mohammed Nasiru; Dasuki, Salihu Ibrahim; Abubakar, A. Mohammed; Kah, Muhammadou M. O. – Education and Information Technologies, 2020
Research has shown that technology, when used prudently, has the potential to improve instruction and learning both in and out of the classroom. Only a handful of African tertiary institutions have fully deployed learning management systems (LMS) and the literature is devoid of research examining the factors that foster the adoption of LMS. To…
Descriptors: Management Systems, Instructional Improvement, Student Surveys, Intention
Ben-Itzchak, Esther; Zachor, Ditza A. – Autism: The International Journal of Research and Practice, 2020
This prospective study examined the developmental changes over time of adolescents diagnosed in toddlerhood with autism spectrum disorder and searched for child characteristics at toddlerhood that predict outcome at adolescence. The study included 65 participants who were divided into low cognitive (developmental quotient [less than] 85; N = 41)…
Descriptors: Toddlers, Adolescents, Autism, Pervasive Developmental Disorders
Koepp, Andrew E.; Watts, Tyler W.; Gershoff, Elizabeth T.; Ahmed, Sammy F.; Davis-Kean, Pamela; Duncan, Greg J.; Kuhfeld, Megan; Vandell, Deborah L. – Developmental Psychology, 2023
This study is a conceptual replication of a widely cited study by Moffitt et al. (2011) which found that attention and behavior problems in childhood (a composite of impulsive hyperactive, inattentive, and impulsive-aggressive behaviors labeled "self-control") predicted adult financial status, health, and criminal activity. Using data…
Descriptors: Foreign Countries, Behavior Problems, Attention Deficit Disorders, Child Behavior
Buckley, Jeffrey; Canty, Donal; White, David; Seery, Niall; Campbell, Mark – Engineering Design Graphics Journal, 2018
Spatial ability, particularly the cognitive capacity for mental rotations, is a critical component of human cognition. Proficiency with mental rotation tasks is linked with educational performance in various Science, Technology, Engineering, and Mathematics (STEM) disciplines, and with more general tasks such as real world wayfinding. Spatial…
Descriptors: Spatial Ability, Short Term Memory, Cognitive Processes, Difficulty Level
Kelmanson, Igor A. – Early Child Development and Care, 2017
The study was performed in St. Petersburg in 2015 and comprised 34 children with diagnosed Down's syndrome (DS) aged 9-15 (mean 11) years (17 boys, 17 girls) who attended special schools. Control group was made up of 34 clinically healthy normal intelligence schoolchildren matched for age, sex and geographical distribution. The mothers were…
Descriptors: Sleep, Down Syndrome, Scores, Attention Deficit Hyperactivity Disorder
Storek, Josephine; Furnham, Adrian – Learning and Individual Differences, 2013
Over 120 participants completed three timed intelligence tests, a self-estimated Domain Masculine (DMIQ) Intelligence scale, and a mindset "beliefs about intelligence" measure (Dweck, 2012) to examine correlates of the Hubris-Humility Effect (HHE) which shows males believe they are more intelligent than females. As predicted males gave…
Descriptors: Intelligence, Gender Differences, Beliefs, Intelligence Tests
Zebib, Racha; Tuller, Laurice; Hamann, Cornelia; Abed Ibrahim, Lina; Prévost, Philippe – First Language, 2020
Sentence repetition (SR) tasks have been shown to be excellent indicators of Developmental Language Disorder (DLD). However, there is still no consensus about which core ability they measure: language vs. Verbal Short-Term Memory (VSTM) and Verbal Working Memory (WM). Moreover, very few studies have investigated whether variables predicting SR…
Descriptors: Sentences, Repetition, Syntax, Verbal Communication
Maki, Kathrin E.; Barrett, Courtenay A.; Hajovsky, Daniel B.; Burns, Matthew K. – School Psychology, 2020
Students with specific learning disabilities (SLDs) represent a large proportion of those receiving special education services in U.S. schools, but the relationship between student-level variables and SLD identification is still not well understood. The purpose of this study was to examine the extent to which data collected as part of a…
Descriptors: Learning Disabilities, Disability Identification, Academic Achievement, Race
Lecheile, Bridget M.; Spinrad, Tracy L.; Xu, Xiaoye; Lopez, Jamie; Eisenberg, Nancy – Developmental Psychology, 2020
Previous research has shown that home environment plays an important role in children's early language skills. Yet, few researchers have examined the unique role of family-level factors (socioeconomic status [SES], household chaos) on children's learning or focused on the longitudinal processes that might explain their relations to children's…
Descriptors: Family Environment, Socioeconomic Status, Language Skills, Language Acquisition
Download full textMatthew 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
Sadipour, Ismail; Ghavam, Soghra Ebrahimi; Farrokhi, Noorali; Assadzadeh, Hassan; Sameti, Nahid – International Journal of Environmental and Science Education, 2017
Improving the academic performance of students is one of the main concerns of authorities in education fields. The science of psychology and education experts has tried to help research and studies, to identify factors affecting the academic performance of students. Previously cognitive abilities as one of the most important determinants of…
Descriptors: Predictor Variables, Emotional Intelligence, Problem Solving, Student Motivation
Wertz, Jasmin; Belsky, Jay; Moffitt, Terrie E.; Belsky, Daniel W.; Harrington, HonaLee; Avinun, Reut; Poulton, Richie; Ramrakha, Sandhya; Caspi, Avshalom – Developmental Psychology, 2019
Twin studies have documented that parenting behavior is partly heritable, but it is unclear how parents' genetics shape their caregiving. Using tools of molecular genetics, the present study investigated this process by testing hypotheses about associations between a genome-wide polygenic score for educational attainment and parental caregiving in…
Descriptors: Twins, Genetics, Child Rearing, Predictor Variables
Barros, Thiago M.; Souza Neto, Plácido A.; Silva, Ivanovitch; Guedes, Luiz Affonso – Education Sciences, 2019
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…
Descriptors: Predictor Variables, Models, Dropout Rate, Classification
