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Showing 1 to 15 of 34 results Save | Export
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Bensley, D. Alan; Watkins, Cody; Lilienfeld, Scott O.; Masciocchi, Christopher; Murtagh, Michael P.; Rowan, Krystal – Applied Cognitive Psychology, 2022
In three samples (Ns = 286, 304, and 273), we found that endorsement of conspiracy theories, paranormal beliefs, and psychological misconceptions were all positively intercorrelated, supporting an individual difference in the tendency to generally endorse unsubstantiated claims. Multiple regression analyses further supported generality, showing…
Descriptors: Beliefs, Trust (Psychology), Negative Attitudes, Cognitive Style
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Natalie Toomey; Misook Heo – Learning: Research and Practice, 2024
This research examined how spatial ability, sex, and cognitive styles associate with self-directed multimedia resource use (study 1) and learning outcomes (study 2). In study 1, three learning resource options were offered: two unimodal (text-only and labelled-picture) and one multimodal (picture-with-narration). Findings revealed that lower…
Descriptors: Spatial Ability, Gender Differences, Pictorial Stimuli, Task Analysis
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De Baets, Shari; Vanderheyden, Karlien – Applied Cognitive Psychology, 2021
We set out to investigate whether interindividual differences in cognition affect the susceptibility to four forecasting biases: (a) optimism bias, (b) adding noise to forecasts, (c) presuming positive autocorrelation when series are independent, and (d) trend damping. All four biases were prevalent in the results, but we found no consistent…
Descriptors: Prediction, Individual Differences, Cognitive Style, Reflection
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García-Arch, Josue; Ballestero-Arnau, Marc; Pérez Hoyas, Lorena; Giaiotti, Francesca – Applied Cognitive Psychology, 2022
The spread of pseudoscience (PS) is a worrying problem worldwide. The study of pseudoscience beliefs and their associated predictors have been conducted in the context of isolated pseudoscience topics (e.g., complementary and alternative medicine). Here, we combined individual differences (IIDD) measures (e.g., personality traits, thinking styles)…
Descriptors: Beliefs, Information Sources, Personality Traits, Cognitive Style
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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
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Pawlak, Miroslaw – Language Teaching Research Quarterly, 2022
Research into the role of individual difference (ID) factors in the process of second and foreign language (L2) learning and teaching has been one of the most robust lines of inquiry in the field of second language acquisition (SLA; Dörnyei & Ryan, 2015; Griffiths & Soruç, 2020; Pawlak & Kruk, 2022). Most of these empirical…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teaching Methods
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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
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Zhang, Jiayi; Beckmann, Nadin; Beckmann, Jens F. – Language Teaching Research, 2023
Chinese students are frequently seen as passive learners because of their apparent reluctance to speak, particularly in English classrooms. However, this impression seems to reflect a stereotype which is likely to confound willingness to communicate (WTC) and communication behaviour. In this article we argue for more attention to be paid to…
Descriptors: Individual Differences, Second Language Learning, Second Language Instruction, Writing Instruction
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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
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Kraemer, David J. M.; Schinazi, Victor R.; Cawkwell, Philip B.; Tekriwal, Anand; Epstein, Russell A.; Thompson-Schill, Sharon L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Using novel virtual cities, we investigated the influence of verbal and visual strategies on the encoding of navigation-relevant information in a large-scale virtual environment. In 2 experiments, participants watched videos of routes through 4 virtual cities and were subsequently tested on their memory for observed landmarks and their ability to…
Descriptors: Cognitive Processes, Computer Simulation, Navigation, Simulated Environment
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Miceli, Silvana; de Palo, Valeria; Monacis, Lucia; Cardaci, Maurizio; Sinatra, Maria – Creativity Research Journal, 2018
The Cognitive Style Indicator (CoSI) includes 3 cognitive dimensions: creating (flexible, open-ended and inventive), knowing (emphasizing facts, details, objectivity, and rationality), and planning (guided by preferences for certainty and well-structured information). The first aim of this research was to validate the 3-factor structure of the…
Descriptors: Cognitive Style, Decision Making, Preferences, Measures (Individuals)
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Esmer, Elif; Altun, Sertel – Journal of Education and Training Studies, 2016
Within the scope of the research the following question has been addressed: "Is there a statistically significant difference in students' thinking styles according to (a) gender, (b) academic discipline and (c) grade, between the beginning and the end of an academic semester?" Purpose of the study is to reveal the differentiation…
Descriptors: Preservice Teachers, Thinking Skills, Scores, Gender Differences
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Li, Haishan; He, Qingshun – English Language Teaching, 2016
Ambiguity tolerance and perceptual learning styles are the two influential elements showing individual differences in EFL learning. This research is intended to explore the relationship between Chinese EFL learners' ambiguity tolerance and their preferred perceptual learning styles. The findings include (1) the learners are sensitive to English…
Descriptors: Cognitive Style, English (Second Language), Individual Differences, Chinese
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Chen, Yu-ching – International Review of Research in Open and Distributed Learning, 2015
With continued development of related technologies, Web 2.0 has become an important site of learning innovation. In particular, social networking sites such as Facebook, which have become popular, have the potential to function as an educational tool enabling peer feedback, interaction, and learning in a social context. Preparing appropriate…
Descriptors: Correlation, Cognitive Style, Online Courses, Social Networks
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Rosário, Pedro; Núñez, José Carlos; Vallejo, Guilermo; Paiva, Olímpia; Valle, António; Fuentes, Sonia; Pinto, Ricardo – European Journal of Psychology of Education, 2014
In the framework of teacher's approaches to teaching, this study investigates the relationship between student-related variables (i.e., study time, class absence, domain knowledge, and homework completion), students' approaches to learning, and teachers' approaches to teaching using structural equation modeling (SEM) with two…
Descriptors: Guidelines, Teaching Methods, Structural Equation Models, Biology
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