Publication Date
| In 2026 | 0 |
| Since 2025 | 4 |
| Since 2022 (last 5 years) | 18 |
| Since 2017 (last 10 years) | 77 |
| Since 2007 (last 20 years) | 135 |
Descriptor
| Cognitive Ability | 168 |
| Predictor Variables | 168 |
| Intelligence Tests | 85 |
| Foreign Countries | 59 |
| Intelligence | 54 |
| Intelligence Quotient | 51 |
| Children | 48 |
| Correlation | 47 |
| Short Term Memory | 38 |
| Elementary School Students | 31 |
| Age Differences | 30 |
| More ▼ | |
Source
Author
| Fuchs, Lynn S. | 3 |
| Verhoeven, Ludo | 3 |
| Ziegler, Matthias | 3 |
| Barnes, Marcia A. | 2 |
| Buhner, Markus | 2 |
| Chi, Sung-Ae | 2 |
| Clemens, Nathan H. | 2 |
| Costa, Lara-Jeane | 2 |
| Fall, Anna-Mária | 2 |
| Flynn, Kylie | 2 |
| Geary, David C. | 2 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 5 |
Location
| Canada | 6 |
| China | 5 |
| Netherlands | 5 |
| Sweden | 4 |
| Turkey | 4 |
| United Kingdom | 4 |
| Spain | 3 |
| United States | 3 |
| Australia | 2 |
| Israel | 2 |
| Italy | 2 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Matthew D. Blanchard; Eugene Aidman; Lazar Stankov; Sabina Kleitman – Cognitive Research: Principles and Implications, 2025
A collective intelligence factor (CI) was introduced by prior research to characterise the cognitive ability of groups. Surprisingly, individual intelligence did not predict CI. Instead, it correlated with individual social sensitivity, the equality of conversational turn-taking, and the proportion of females in a group. However, these findings…
Descriptors: Intelligence, Cooperative Learning, Participative Decision Making, Metacognition
Sinead Rhodes; Josephine N. Booth; Emily McDougal; Jessica Oldridge; Karim Rivera-Lares; Alexia Revueltas Roux; Tracy M. Stewart – Journal of Autism and Developmental Disorders, 2025
We examined whether cognitive profiles or diagnostic outcomes are better predictors of literacy performance for children being considered for an ADHD diagnosis. Fifty-five drug naïve children (M[subscript age] = 103.13 months, SD = 18.65; 29.09% girls) were recruited from an ADHD clinical referral waiting list. Children underwent assessment of IQ,…
Descriptors: Executive Function, Predictor Variables, Profiles, Literacy
Lucy Shiels; Peter Carew; Dani Tomlin; Gary Rance – npj Science of Learning, 2025
This study investigated the impact of soundfield amplification (SFA) on reading fluency in normal-hearing students (n = 84) aged 8-10 years. Twenty-three grade 3 and 4 classes participated across three academic terms, alternating between SFA-On and SFA-Off conditions. Reading fluency was assessed using the Wheldall Assessment of Reading Passages.…
Descriptors: Classroom Environment, Acoustics, Reading Fluency, Hearing (Physiology)
Kirikkanat, Berke – International Journal for Educational and Vocational Guidance, 2023
Having effective career planning attitudes is a significant psychological resource for dealing with occupational burdens, unanticipated conflicts, and ambivalences in business area. The major purpose of the study was to reveal whether Turkish undergraduates' career planning attitudes were shaped by their trait emotional intelligence, cognitive…
Descriptors: Foreign Countries, Predictor Variables, Undergraduate Students, Student Attitudes
Alzubi, Emad Mohamad; Attiat, Madher Mohammad; Al-Adamat, Omar Atallah – Cypriot Journal of Educational Sciences, 2022
This study aimed to investigate the role of systemic intelligence factors in explaining cognitive flexibility and cognitive holding power among university students using measures of the aforementioned phenomena. A random sample of (519) students participated in this research, and it was found that factors relating to systemic intelligence could…
Descriptors: Intelligence, Predictor Variables, Cognitive Ability, College Students
Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
Florencia Stelzer; Santiago Vernucci; Yesica Aydmune; Macarena del Valle; María Laura Andres; Isabel María Introzzi – European Journal of Psychology of Education, 2024
The aim of this study was to analyze the joint, relative, and unique predictive value of students' prior knowledge of mathematics (knowledge of fractions and ability to divide natural numbers) and general cognitive ability (fluid intelligence and working memory) upon general mathematics achievement in the last year of primary school. Seventy-five…
Descriptors: Mathematics Achievement, Elementary School Students, Thinking Skills, Prior Learning
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
Frith, Emily; Kane, Michael J.; Welhaf, Matthew S.; Christensen, Alexander P.; Silvia, Paul J.; Beaty, Roger E. – Creativity Research Journal, 2021
Increasing research efforts are focused on explaining the cognitive bases of creativity. However, it remains unclear when and how cognitive factors such as intelligence and executive function uniquely contribute to performance on creative thinking tasks. Although a relationship between fluid intelligence (Gf) and creative cognition has been…
Descriptors: Creativity, Attention Control, Intelligence, Creative Thinking
Christiansen, Jens; White, Susan W.; McPartland, James; Volkmar, Fred; Parlar, Sarah; Pedersen, Lennart – Education and Training in Autism and Developmental Disabilities, 2021
The education of children with disabilities in the regular educational environment has long been an expectation of legislation in many countries. Yet some children with autism spectrum disorder (ASD) are educated outside regular classes. Despite the obvious importance that educational placement holds for any child, there is limited research on how…
Descriptors: Students with Disabilities, Autism, Pervasive Developmental Disorders, Student Characteristics
Viezel, Kathleen D.; Freer, Benjamin; Morgan, Chelsea D. – Focus on Autism and Other Developmental Disabilities, 2022
As an increasing number of individuals with autism spectrum disorder (ASD) matriculate on college campuses, all stakeholders should be prepared to meet their needs. Despite a body of literature describing adaptive behavior deficits of individuals with ASD, there is a paucity of research examining these skills among those who are college-ready. The…
Descriptors: Autism, Pervasive Developmental Disorders, Student Adjustment, College Freshmen
Self-Reported Social Impairments Predict Depressive Disorder in Adults with Autism Spectrum Disorder
Day, Talena C.; McNaughton, Kathryn A.; Naples, Adam J.; McPartland, James C. – Autism: The International Journal of Research and Practice, 2020
In adults with autism spectrum disorder, co-occurring psychiatric conditions are prevalent, and depression is one of the most common co-occurring disorders. This study examined the relationship between depression and cognitive ability, autism symptom severity, and self-reported social impairments in autism spectrum disorder. A total of 33 adults…
Descriptors: Adults, Autism, Pervasive Developmental Disorders, Predictor Variables
Månsson, Johanna; Stjernqvist, Karin; Serenius, Fredrik; Ådén, Ulrika; Källén, Karin – Journal of Psychoeducational Assessment, 2019
The study aim was to explore the relationship between a developmental assessment at preschool age and an intelligence quotient (IQ) assessment at school age. One hundred sixty-two children were assessed at 2.5 years with the Bayley Scales of Infant and Toddler Development--Third Edition (Bayley-III) and then at 6.5 years with the Wechsler…
Descriptors: Child Development, Infants, Intelligence Tests, Correlation
Blankson, A. Nayena; Gudmundson, Jessica A.; Kondeh, Memuna – Journal of Educational Psychology, 2019
Three aspects of cognition (fluid intelligence, executive functioning, and crystallized intelligence) in pre-K were examined as predictors of math and reading achievement in kindergarten among an economically diverse sample of 198 African American children. From a variable-centered perspective, confirmatory factor analyses revealed that the three…
Descriptors: Predictor Variables, Intelligence, Executive Function, Preschool Children
Boby Ho-Hong Ching; Xiang Yu Li; Tiffany Ting Chen – British Journal of Educational Psychology, 2024
Background: Recent research showed that cross-notation magnitude knowledge of fractions and decimals was related to better performance in fraction arithmetic, but it remains unclear whether it made an independent contribution to fraction arithmetic longitudinally when other cognitive variables are considered. Aims: To examine the extent to which…
Descriptors: Number Concepts, Fractions, Arithmetic, Young Children

Peer reviewed
Direct link
