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Brosnan, Mark; Lewton, Marcus; Ashwin, Chris – Journal of Autism and Developmental Disorders, 2016
Dual process theory proposes two distinct reasoning processes in humans, an intuitive style that is rapid and automatic and a deliberative style that is more effortful. However, no study to date has specifically examined these reasoning styles in relation to the autism spectrum. The present studies investigated deliberative and intuitive reasoning…
Descriptors: Pervasive Developmental Disorders, Autism, Thinking Skills, Cognitive Style
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Hedayati, Mohsen; Foomani, Elham Mohammadi – Educational Technology & Society, 2015
The study reported here explores whether English as a foreign Language (EFL) learners' preferred ways of learning (i.e., learning styles) affect their task performance in computer-mediated communication (CMC). As Ellis (2010) points out, while the increasing use of different sorts of technology is witnessed in language learning contexts, it is…
Descriptors: Foreign Countries, Cognitive Style, Task Analysis, Synchronous Communication
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Habók, Anita – Education 3-13, 2015
Learning to learn (L2L) is an important component of lifelong learning. First, the article discusses various possible definitions of L2L and identifies the most comprehensible definition, which provides the basis for the analysis. Subsequently, it presents the results of a pilot study carried out in the early stage of primary education. This study…
Descriptors: Foreign Countries, Lifelong Learning, Definitions, Pilot Projects
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Eyuboglu, Filiz; Orhan, Feza – British Journal of Educational Technology, 2011
This study investigates the navigational patterns and learning achievement of university students with different cognitive styles, on hypermedia learning environments using paging or scrolling. The global-local subscales of Sternberg's Thinking Styles Inventory, two hypermedia, one using paging, the other using scrolling, a multiple choice…
Descriptors: Cognitive Style, Achievement Tests, Cognitive Measurement, Satisfaction
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Ferla, Johan; Valcke, Martin; Schuyten, Gilberte – Studies in Higher Education, 2009
This study aims to identify student models of learning (sets of "intra-student" cognitions about learning) and to investigate their effect on study strategies. A two-step cluster analysis identified four student models of learning, representing students' self-efficacy beliefs, learning conceptions, attributions for academic performance…
Descriptors: Self Efficacy, Multivariate Analysis, Study Skills, Learning Strategies
Graf, Sabine; Viola, Silvia Rita; Leo, Tommaso; Kinshuk – Journal of Research on Technology in Education, 2007
Learning styles are increasingly being incorporated into technology-enhanced learning. Appropriately, a great deal of recent research work is occurring in this area. As more information and details about learning styles becomes available, learning styles can be better accommodated and integrated into all aspects of educational technology. The aim…
Descriptors: Cognitive Style, Legislators, Educational Technology, Learning Processes
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Levin, Tamar; Gordon, Claire – Journal of Educational Computing Research, 1989
Describes study of Israeli secondary school students that was conducted to determine the extent to which gender and prior computer exposure affect students' attitudes toward computers prior to computer instruction in school. An attitude questionnaire designed to measure affective and cognitive attitudes toward computers is described, and results…
Descriptors: Affective Behavior, Affective Measures, Cognitive Measurement, Cognitive Style
Thomas, Heather; Cox, Robin; Kojima, Takahiro – 2000
The paper examines the learning style preferences of 44 second-year Japanese college students pursuing an undergraduate degree and learning English as a Second Language at a New Zealand college. The goal is to learn more about between style and achievement, and how to cater to such students as multi-dimensional individuals and as members of a…
Descriptors: Academic Achievement, Classroom Techniques, Cognitive Measurement, Cognitive Style
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Contreras, Carlos L. M. – Quarterly Review of Distance Education, 2004
Demographic and personality variables and computer use were used to predict computer self-confidence with a sample of students enrolled in online college-credit classes. Computer self-confidence was measured with one 10-choice question. Demographic variables included age, annual income, geographic region, gender, and ethnicity. Computer use was…
Descriptors: Income, Age Differences, Ethnic Groups, Gender Differences
Becker, Jerry P., Ed. – 1992
In 1986 the United States (U.S.)-Japan Seminar on Mathematical Problem Solving convened to compare the state of problem solving in the classroom and in research in the two countries. The data and results given in this paper are the results of research conducted in the United States in response to the 1986 seminar. The U.S. and Japanese research…
Descriptors: Abstract Reasoning, Cognitive Measurement, Cognitive Processes, Cognitive Style
Champagne, Matthew V. – 1998
This paper focuses on the Interactive and Distance Education Assessment (IDEA) laboratory, an assessment system developed by psychology students and faculty at Rensselaer Polytechnic Institute (New York) that incorporated learning styles, teaching styles, and other measures of individual difference into the evaluation of interactive and distance…
Descriptors: Cognitive Measurement, Cognitive Style, Computer Assisted Testing, Computer Networks