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Baer, Carolyn; Malik, Puja; Odic, Darko – Metacognition and Learning, 2021
The world can be a confusing place, which leads to a significant challenge: how do we figure out what is true? To accomplish this, children possess two relevant skills: reasoning about the likelihood of their own accuracy (metacognitive confidence) and reasoning about the likelihood of others' accuracy (mindreading). Guided by Signal Detection…
Descriptors: Evaluative Thinking, Accuracy, Metacognition, Young Children
Sahin, Feride; Ates, Salih – Electronic Journal for Research in Science & Mathematics Education, 2023
The aim of this study is to examine whether the structural model that Sahin and Ates (2020) put forward about the relationship among students' scientific literacy levels, logical thinking ability, cognitive styles, mental capacity, and mental rotation ability differ in terms of gender. A causal-comparative model approach was used in this study.…
Descriptors: Scientific Literacy, Correlation, Individual Differences, Gender Differences
Chesebrough, Christine; Chrysikou, Evangelia G.; Holyoak, Keith J.; Zhang, Fengqing; Kounios, John – Creativity Research Journal, 2023
An underexplored aspect of the relationship between analogical reasoning and creativity is its phenomenology; in particular, the notion that analogical reasoning is related to insight and its associated "aha!" experience. However, the relationship between these phenomena has never been directly investigated. We adapted a set of verbal…
Descriptors: Creativity, Creative Thinking, Figurative Language, Concept Formation
Yavich, Roman; Rotnitsky, Irina – International Journal of Higher Education, 2020
The applications of multiple intelligence theory in education are wide. Students apply the learning in the classroom according to their own dominant intelligence and learning style, which is most effective for them. Combining learning styles with dominant intelligences enhances the students' learning processes. The purpose of this case study is to…
Descriptors: Multiple Intelligences, Academic Achievement, Cognitive Style, Correlation
Rowe, Elizabeth; Asbell-Clarke, Jodi; Almeda, Mia; Gasca, Santiago; Edwards, Teon; Bardar, Erin; Shute, Valerie; Ventura, Matthew – International Journal of Computer Science Education in Schools, 2021
The Inclusive Assessment of Computational Thinking (CT) designed for accessibility and learner variability was studied in over 50 classes in US schools (grades 3-8). The validation studies of IACT sampled thousands of students to establish IACT's construct and concurrent validity as well as test-retest reliability. IACT items for each CT practice…
Descriptors: Puzzles, Logical Thinking, Thinking Skills, Construct Validity
Kaufman, Scott Barry; DeYoung, Colin G.; Reis, Deidre L.; Gray, Jeremy R. – Intelligence, 2011
The existence of general-purpose cognitive mechanisms related to intelligence, which appear to facilitate all forms of problem solving, conflicts with the strong modularity view of the mind espoused by some evolutionary psychologists. The current study assessed the contribution of general intelligence ("g") to explaining variation in…
Descriptors: Intelligence, Logical Thinking, Accuracy, Reaction Time
Babayigit, Selma; Stainthorp, Rhona – Educational Psychology, 2014
This study had three main aims. First, we examined to what extent listening comprehension, vocabulary, grammatical skills and verbal short-term memory (VSTM) assessed prior to formal reading instruction explained individual differences in early reading comprehension levels. Second, we examined to what extent the three common component skills,…
Descriptors: Listening Comprehension, Vocabulary, Grammar, Short Term Memory
Semmes, Robert; Davison, Mark L.; Close, Catherine – Applied Psychological Measurement, 2011
If numerical reasoning items are administered under time limits, will two dimensions be required to account for the responses, a numerical ability dimension and a speed dimension? A total of 182 college students answered 74 numerical reasoning items. Every item was taken with and without time limits by half the students. Three psychometric models…
Descriptors: Individual Differences, Logical Thinking, Timed Tests, College Students
Griffin, Thomas D.; Wiley, Jennifer; Britt, M. Anne; Salas, Carlos R. – International Electronic Journal of Elementary Education, 2012
The main goal for the current study was to investigate whether individual differences in domain-general thinking dispositions might affect learning from multiple-document inquiry tasks in science. Middle school students were given a set of documents and were tasked with understanding how and why recent patterns in global temperature might be…
Descriptors: Middle School Students, Logical Thinking, Thinking Skills, Science Process Skills
Daniel, David B.; Klaczynski, Paul A. – Child Development, 2006
In Study 1, 10-, 13-, and 16-year-olds were assigned to conditions in which they were instructed to think logically and provided alternative antecedents to the consequents of conditional statements. Providing alternatives improved reasoning on two uncertain logical forms, but decreased logical responding on two certain forms; logic instructions…
Descriptors: Thinking Skills, Cognitive Development, Adolescents, Individual Differences

Sternberg, Robert J. – Journal of Educational Psychology, 1981
Two nonentrenched tasks are described, one requiring projection into the future of states of objects, the other requiring complex anological reasoning where multiple terms of analogies can be replaced by alternative answer options. Some speculations are made about the implications of these results for educational theory and practice. (Author/GK)
Descriptors: Adults, Cognitive Processes, Correlation, Individual Differences
Everson, Howard T.; Millsap, Roger E. – College Entrance Examination Board, 2004
This paper explores the complex, hierarchical relationship among school characteristics, individual differences in academic achievement, extracurricular activities, and socioeconomic background on performance on the SAT Reasoning Testâ„¢ verbal and mathematical sections. Using multilevel structural equation models (SEMs) with latent means, data from…
Descriptors: College Entrance Examinations, Institutional Characteristics, Correlation, Individual Differences
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection