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Nelissen, Jo M. C. – Education and Society, 2021
In this article, it is argued that it makes sense to define and distinguish three levels of human intelligence: intelligence as genotypical potential, intelligence as actualised in environmental interaction, and intelligence as measured by tests (IQ). This raises the questions of what is meant by the term "intelligence as potential", and…
Descriptors: Genetics, Intelligence Quotient, Parent Influence, Individual Characteristics
Shih-Chieh Lee; Chien-Yu Huang; I-Ning Fu; Kuan-Lin Chen – Autism: The International Journal of Research and Practice, 2024
Multidimensional theory of mind assessments should include items assessing both explicit theory of mind (theory of mind knowledge) and applied theory of mind (application of theory of mind knowledge in real-life contexts). However, the two theory of mind scores cannot be interpreted collectively to identify children having mismatched explicit and…
Descriptors: Foreign Countries, Theory of Mind, Cognitive Development, Intelligence Tests
Womack, Sean R.; Beam, Christopher R.; Davis, Deborah Winders; Finkel, Deborah; Turkheimer, Eric – Developmental Psychology, 2022
Twins regularly score nearly a standard deviation below the population mean on standardized measures of cognitive development in infancy but recover to the population mean by early childhood, making rapid gains through the toddler years. To date, only polynomial growth models have been fit to model cognitive recovery across childhood, limiting the…
Descriptors: Twins, Cognitive Ability, Genetics, Environmental Influences
Renaud, Florence; Béliveau, Marie-Julie; Akzam-Ouellette, Marc-Antoine; Jauvin, Karine; Labelle, Fannie – Journal of Psychoeducational Assessment, 2022
A review of clinical records was conducted for children with developmental, emotional, and behavioral difficulties who were assessed with both the Wechsler preschool and primary scale of intelligence-third edition (WPPSI-III[superscript CDN]; Wechsler, 2004) and the Leiter international performance scale--revised (Leiter-R; Roid & Miller,…
Descriptors: Cognitive Development, Intelligence Tests, Young Children, Referral
Misja Eiberg; Christoffer Scavenius – European Journal of Psychology of Education, 2024
Children in out-of-home care persistently show poorer educational and developmental outcomes than their peers. This study investigates the effect of the comprehensive educational intervention, "LUKoP," in a randomized controlled trial, compared to treatment-as-usual (TAU). Outcome measures included reading and math abilities, IQ and…
Descriptors: Intervention, Foster Care, Children, Early Adolescents
Aletha Sutton; Angelica Pikula; Zhihui Yi; Mark R. Dixon – Journal of Developmental and Physical Disabilities, 2022
The present study examined the relationships between the standardized applied behavior analysis (ABA) direct assessment, the PEAK Comprehensive Assessment (PCA), and established assessments commonly used in educational and clinical settings, including the Childhood Autism Rating Scale - Third Edition (CARS-3), the PDD Behavior Inventory (PDDBI),…
Descriptors: Test Validity, Intelligence, Behavior Problems, Autism Spectrum Disorders
Bingham, Mindy – Childhood Education, 2023
While the author can see many ways that artificial intelligence can be used as an adult, a professional, and a business owner, she also realized what it was going to do for children who are learning their basic skills, such as how to write, how to work with numbers, how to think for themselves, and how to make considered choices. What would this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Children, Cognitive Development
Russell T. Warne – Gifted and Talented International, 2023
Tests of measurement invariance are essential to determining whether individual scores or group averages are comparable across populations. While international comparisons of mean IQ scores are common, tests of measurement invariance for intelligence test batteries (necessary for comparisons to be empirically supported) are rare. In this study,…
Descriptors: Foreign Countries, Adults, Intelligence Tests, Children
Alvares, Gail A.; Bebbington, Keely; Cleary, Dominique; Evans, Kiah; Glasson, Emma J.; Maybery, Murray T.; Pillar, Sarah; Uljarevic, Mirko; Varcin, Kandice; Wray, John; Whitehouse, Andrew J. O. – Autism: The International Journal of Research and Practice, 2020
'High functioning autism' is a term often used for individuals with autism spectrum disorder without an intellectual disability. Over time, this term has become synonymous with expectations of greater functional skills and better long-term outcomes, despite contradictory clinical observations. This study investigated the relationship between…
Descriptors: Misconceptions, Autism, Pervasive Developmental Disorders, Intelligence
Rennie, Joseph P.; Zhang, Mengya; Hawkins, Erin; Bathelt, Joe; Astle, Duncan E. – Developmental Science, 2020
We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self-organizing maps (SOMs)--a type of simple artificial neural network--to represent multivariate cognitive training data, and then tested whether the way tasks are…
Descriptors: Short Term Memory, Teaching Methods, Artificial Intelligence, Cognitive Development
Alexander Skulmowski – Mind, Brain, and Education, 2025
Generative artificial intelligence (AI) has become a major research trend in the fields of education and psychology. However, several risks posed by this technology concerning the cognitive and socio-emotional development of children and adolescents have been identified. While it would be highly useful to have a clear understanding of these…
Descriptors: Artificial Intelligence, Educational Research, Informed Consent, Risk
Doan, Tiffany; Friedman, Ori; Denison, Stephanie – Developmental Psychology, 2021
How we feel about an outcome often depends on how close an alternative outcome was to occurring. In four experiments, we investigated whether predominantly White, middle-class, Canadian children (N = 425, Experiments 1-3) and American adults (N = 227, Experiment 4) consider close counterfactual alternatives when inferring other people's emotions.…
Descriptors: Thinking Skills, Foreign Countries, Emotional Intelligence, Children
Katy L. Unwin; Georgina Powell; Alice Price; Catherine R. G. Jones – Autism: The International Journal of Research and Practice, 2024
Multi-sensory environments are widely used with autistic children. However, there are no data on how autistic children choose to spend time in the room and how this relates to their sensory, behavioural and intellectual profiles. We observed the frequency and duration of visits to multi-sensory environment equipment of 41 autistic children during…
Descriptors: Assistive Technology, Educational Equipment, Autism Spectrum Disorders, Students with Disabilities
Prigge, Molly B. D.; Bigler, Erin D.; Lange, Nicholas; Morgan, Jubel; Froehlich, Alyson; Freeman, Abigail; Kellett, Kristina; Kane, Karen L.; King, Carolyn K.; Taylor, June; Dean, Douglas C., III; King, Jace B.; Anderson, Jeff S.; Zielinski, Brandon A.; Alexander, Andrew L.; Lainhart, Janet E. – Journal of Autism and Developmental Disorders, 2022
Intelligence (IQ) scores are used in educational and vocational planning for individuals with autism spectrum disorder (ASD) yet little is known about the stability of IQ throughout development. We examined longitudinal age-related IQ stability in 119 individuals with ASD (3-36 years of age at first visit) and 128 typically developing controls.…
Descriptors: Autism Spectrum Disorders, Intelligence, Cognitive Development, Scores
Barutchu, Ayla; Fifer, Joanne M.; Shivdasani, Mohit N.; Crewther, Sheila G.; Paolini, Antonio G. – Child Development, 2020
This study assessed the developmental profile of unisensory and multisensory processes, and their contribution to children's intellectual abilities (8- and 11-year olds, N = 38, compared to adults, N = 19) using a simple audiovisual detection task and three incidental associative learning tasks with different sensory signals: visual-verbal with…
Descriptors: Multisensory Learning, Associative Learning, Intelligence Quotient, Cognitive Ability