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Paul Beljan; Justin M. Gardner; Dana Homaijani – Roeper Review, 2024
Children with gifted intellects often earn lower scores on measures of processing speed than their nongifted counterparts. However, neuropsychological research indicates such a profile of scores is likely not due to a true innate neurocognitive processing speed deficit but is rather a statistical artifact resulting from the interference of common…
Descriptors: Cognitive Processes, Gifted, Children, Intelligence Tests
Negri, Attà; Castiglioni, Marco; Caldiroli, Cristina Liviana; Barazzetti, Arianna – Journal of Intelligence, 2022
Cognitive science has gathered robust evidence supporting the hypothesis that cognitive processes do not occur in an amodal format but take shape through the activation of the sensorimotor systems of the agent body, which works as simulation system upon which concepts, words, and thought are based. However, studies that have investigated the…
Descriptors: Intelligence, Cognitive Processes, Cognitive Science, Human Body
Jacqueline M. Caemmerer; Stephanie Ruth Young; Danika Maddocks; Natalie R. Charamut; Eunice Blemahdoo – Journal of Psychoeducational Assessment, 2024
In order to make appropriate educational recommendations, psychologists must understand how cognitive test scores influence specific academic outcomes for students of different ability levels. We used data from the WISC-V and WIAT-III (N = 181) to examine which WISC-V Index scores predicted children's specific and broad academic skills and if…
Descriptors: Predictor Variables, Academic Achievement, Intelligence Tests, Children
Ryan J. McGill; Stefan C. Dombrowski; Gary L. Canivez – Psychology in the Schools, 2025
The present study examined the posited structure of the Wechsler Intelligence Scale for Children--Fifth Edition (WISC-V) ancillary index scores with normative sample participants aged 6-16 years (N = 2200) using a series of confirmatory factor analyzes (CFA) with maximum likelihood estimation. CFA results supported the retention of auditory…
Descriptors: Children, Intelligence Tests, Test Validity, Scores
Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
Atmaca, Furkan; Baloglu, Mustafa – Gifted Child Quarterly, 2022
We compared the Wechsler scores of individuals with twice-exceptionality (2e) and giftedness using a three-level Bayesian meta-analysis. Ninety-five effect sizes were calculated from 15 studies (n = 2,106). Results show that individuals with 2e who have learning disabilities perform lower than individuals with giftedness in Full-Scale Intelligence…
Descriptors: Meta Analysis, Gifted Disabled, Intelligence Quotient, Identification
Emily Cantillon – ProQuest LLC, 2024
It has been widely recognized that a visual impairment can limit an individual's ability to learn through visual observations. This decreased limited visual access which could impact how the skills to access and recognize the world around them develop. However, when the visual impairment was brain-based, such as in Cortical/Cerebral Visual…
Descriptors: Visual Impairments, Children, Intelligence Tests, Scores
Jiaqi Yin; Haoxin Xu; Yafeng Pan; Yi Hu – npj Science of Learning, 2025
Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored. We investigated how metacognitive, affective, and neutral feedback from an educational chatbot affected learning outcomes and brain activity using functional…
Descriptors: Outcomes of Education, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
McFarland, Dennis – Journal of Intelligence, 2020
Network models of the WAIS-IV based on regularized partial correlation matrices have been reported to outperform latent variable models based on uncorrected correlation matrices. The present study sought to compare network and latent variable models using both partial and uncorrected correlation matrices with both types of models. The results show…
Descriptors: Correlation, Matrices, Adults, Intelligence Tests
Anna Y. Q. Huang; Cheng-Yan Lin; Sheng-Yi Su; Stephen J. H. Yang – British Journal of Educational Technology, 2025
Programming education often imposes a high cognitive burden on novice programmers, requiring them to master syntax, logic, and problem-solving while simultaneously managing debugging tasks. Prior knowledge is a critical factor influencing programming learning performance. A lack of foundational knowledge limits students' self-regulated learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Coding, Programming
David James Woo; Deliang Wang; Kai Guo; Hengky Susanto – Education and Information Technologies, 2024
This mixed methods study explores EFL students' experiences and perceptions as they learn to write a composition with ChatGPT's support in a classroom instructional context. Students' perceptions are explored in terms of their motivation to learn about ChatGPT, cognitive load and satisfaction with the learning process. In a workshop format,…
Descriptors: Foreign Countries, Secondary School Students, Second Language Instruction, English (Second Language)
Broumi, Said, Ed. – IGI Global, 2023
Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…
Descriptors: Theories, Mathematical Logic, Intuition, Decision Making
Biesmans, K. E.; Aken, L.; Frunt, E. M. J.; Wingbermühle, P. A. M.; Egger, J. I. M. – Journal of Intellectual Disability Research, 2019
Background: Assessment of intelligence and executive function (EF) is common in complex neuropsychiatric practice. Although previous studies have shown that EF and intelligence are related, it is unknown whether these constructs relate to one another in a similar manner across different ability groups (mild intellectual disability, borderline…
Descriptors: Intelligence, Executive Function, Psychiatry, Correlation
Mouga, Susana; Café, Cátia; Almeida, Joana; Marques, Carla; Duque, Frederico; Oliveira, Guiomar – Journal of Autism and Developmental Disorders, 2016
The influence of specific autism spectrum disorder (ASD) deficits in Intelligence Quotients (IQ), Indexes and subtests from the Wechsler Intelligence Scale for Children-III was investigated in 445 school-aged children: ASD (N = 224) and other neurodevelopmental disorders (N = 221), matched by Full-Scale IQ and chronological age. ASD have lower…
Descriptors: Autism, Pervasive Developmental Disorders, Scores, Intelligence Quotient
Dunn, Kristy; Georgiou, George K.; Das, J. P. – High Ability Studies, 2018
Although the role of cognitive processes, such as planning, attention, simultaneous, and successive (PASS) processing in reading ability has been examined in samples of typically developing children and children with reading difficulties, it remains unclear if these processes also contribute to superior reading performance. Thus, in this study we…
Descriptors: Cognitive Processes, Reading Processes, Reading Achievement, High Achievement

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