NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Elementary and Secondary…1
What Works Clearinghouse Rating
Showing 1 to 15 of 339 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Divya Sadana; Rajnish Kumar Gupta; Sanjeev Jain; S. S. Kumaran; Jamuna Rajeswaran – Gifted and Talented International, 2024
The present study aimed to explore the association between creativity, intelligence, and personality. The study recruited sixty healthy volunteers in the age range of 20-40 years from Bengaluru city (formerly Bangalore), South India, and administered tests for fluid intelligence (Raven's Standard Progressive Matrices), personality (Big Five…
Descriptors: Creativity, Personality, Intelligence, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Robison, Matthew K.; Brewer, Gene A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The present study examined individual differences in 3 cognitive abilities: attention control (AC), working memory capacity (WMC), and fluid intelligence (gF) as they relate the tendency to experience task-unrelated thoughts (TUTs) and the regulation of arousal. Cognitive abilities were measured with a battery of 9 laboratory tasks, TUTs were…
Descriptors: Individual Differences, Short Term Memory, Attention Control, Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Józsa, Krisztián; Amukune, Stephen; Zentai, Gabriella; Barrett, Karen Caplovitz – Journal of Intelligence, 2022
Research has shown that the development of cognitive and social skills in preschool predicts school readiness in kindergarten. However, most longitudinal studies are short-term, tracking children's development only through the early elementary school years. This study aims to investigate the long-term impact of preschool predictors, intelligence,…
Descriptors: Foreign Countries, School Readiness, Intelligence Tests, Preschool Children
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Danaci, Miray Özözen; Dümenci, Sirma Seda Bapoglu – South African Journal of Education, 2022
The study reported on here was conducted to examine the consistency of the views of children and teachers in predicting the multiple intelligence areas of children at the end of the education programme provided in an enriched class based on multiple intelligence practices in a pre-school education institution. Using the…
Descriptors: Preschool Children, Intelligence, Multiple Intelligences, Preferences
Peer reviewed Peer reviewed
Direct linkDirect link
Junxian Shen; Hongfeng Zhang; Jiansong Zheng – Psychology in the Schools, 2024
Online learning is becoming more and more common, so how to maintain learners' online learning engagement is very important. This study aims to explore the impact of future self-continuity on college students' online learning engagement and its underlying mechanism of action. We utilized the Future Self-Continuity Questionnaire, the Learning…
Descriptors: College Students, Learner Engagement, Electronic Learning, Predictor Variables
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Löffler, Christoph; Frischkorn, Gidon T.; Rummel, Jan; Hagemann, Dirk; Schubert, Anna-Lena – Journal of Intelligence, 2022
The worst performance rule (WPR) describes the phenomenon that individuals' slowest responses in a task are often more predictive of their intelligence than their fastest or average responses. To explain this phenomenon, it was previously suggested that occasional lapses of attention during task completion might be associated with particularly…
Descriptors: Attention Control, Reaction Time, Intelligence, Task Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Brandt, Naemi D.; Lechner, Clemens M. – Journal of Intelligence, 2022
Fluid intelligence and conscientiousness are important predictors of students' academic performance and competence gains. Although their individual contributions have been widely acknowledged, less is known about their potential interplay. Do students profit disproportionately from being both smart and conscientious? We addressed this question…
Descriptors: Intelligence, Personality Traits, Individual Characteristics, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Decarli, Gisella; Zingaro, Donatella; Surian, Luca; Piazza, Manuela – Developmental Science, 2023
Preverbal infants spontaneously represent the number of objects in collections. Is this 'sense of number' (also referred to as Approximate Number System, ANS) part of the cognitive foundations of mathematical skills? Multiple studies reported a correlation between the ANS and mathematical achievement in children. However, some have suggested that…
Descriptors: Infants, Numeracy, Young Children, Mathematics Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gallego, María Gómez; Perez de los Cobos, Alfonso Palazón; Gallego, Juan Cándido Gómez – Education Sciences, 2021
A main goal of the university institution should be to reduce the desertion of its students, in fact, the dropout rate constitutes a basic indicator in the accreditation processes of university centers. Thus, evaluating the cognitive functions and learning skills of students with an increased risk of academic failure can be useful for the adoption…
Descriptors: Identification, At Risk Students, Potential Dropouts, Cognitive Processes
Sara Anne Goring – ProQuest LLC, 2023
Semantic illusions are recognition errors that occur when an individual fails to notice that information contradicts their prior knowledge (Barton & Sanford, 1993; Erickson & Mattson, 1981). For example, after hearing the question, "If a plane crashes while flying over state lines, where should the survivors be buried?" many…
Descriptors: Semantics, Older Adults, Young Adults, Syntax
Peer reviewed Peer reviewed
Direct linkDirect link
Abraham E. Flanigan; Markeya S. Peteranetz; Duane F. Shell; Leen-Kiat Soh – ACM Transactions on Computing Education, 2023
Objectives: Although prior research has uncovered shifts in computer science (CS) students' implicit beliefs about the nature of their intelligence across time, little research has investigated the factors contributing to these changes. To address this gap, two studies were conducted in which the relationship between ineffective self-regulation of…
Descriptors: Computer Science Education, Self Concept, Intelligence, Self Management
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nikolic, Mirjana; Cvijetic, Maja – Research in Pedagogy, 2023
Although numerous studies show that intelligence, measured by various tests, is a significant predictor of school achievement, this cognitive variable can only explain about 50% of the variance. It is also known that communicative language ability represents an important basis for learning subject content in the early period of formal education.…
Descriptors: Intelligence, Communicative Competence (Languages), Elementary School Students, Grade 5
Peer reviewed Peer reviewed
Direct linkDirect link
Paz-Baruch, Nurit – High Ability Studies, 2020
The actiotope model of giftedness (AMG) highlights the interactions between the individual and the environment. Educational and learning capital (ELC) are essential resources that promote the development of excellence. The study objectives were to examine the contribution of educational capital (EC), learning capital (LC), and general intelligence…
Descriptors: Academic Ability, Predictor Variables, Intelligence, Academic Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Anja Strobel; Alexander Strobel; Franzis Preckel; Ricarda Steinmayr – AERA Open, 2024
While intelligence and motivational variables are well-established predictors of academic achievement, Need for Cognition (NFC), the stable intrinsic motivation to engage in and enjoy challenging intellectual activity, has not yet been considered comprehensively in this field, especially not longitudinally. By applying latent change score…
Descriptors: Academic Achievement, Self Concept, Learning Motivation, Cognitive Processes
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  23