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Showing 1 to 15 of 20 results Save | Export
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Cuevas, Joshua; Dawson, Bryan L. – Theory and Research in Education, 2018
This study tested two cognitive models, learning styles and dual coding, which make contradictory predictions about how learners process and retain visual and auditory information. Learning styles-based instructional practices are common in educational environments despite a questionable research base, while the use of dual coding is less…
Descriptors: Cognitive Processes, Cognitive Style, Models, Comparative Analysis
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Brunton, Bruce – Journal of Education for Business, 2015
Data from nine introductory microeconomics classes was used to test the effect of student learning style on academic performance. The Kolb Learning Style Inventory was used to assess individual student learning styles. The results indicate that student learning style has no significant effect on performance, undermining the claims of those who…
Descriptors: Introductory Courses, Economics Education, Cognitive Style, Microeconomics
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Danisman, Sahin; Erginer, Ergin – Cogent Education, 2017
The purpose of this study was to examine fifth graders' mathematical reasoning and spatial ability, to identify a correlation with their learning styles, and to determine the predictive power of their learning styles on their mathematical learning profiles. This causal study was conducted with 97 fifth graders (60 females, 61.9% and 37 males,…
Descriptors: Predictor Variables, Grade 5, Cognitive Style, Mathematical Logic
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Blackburn, J. Joey; Robinson, J. Shane – Journal of Agricultural Education, 2017
The purpose of this study was to determine if selected factors influenced the ability of students in school-based agricultural education programs to generate a correct hypothesis when troubleshooting small gasoline engines. Variables of interest included students' cognitive style, age, GPA, and content knowledge in small gasoline engines. Kirton's…
Descriptors: Agricultural Education, Agricultural Engineering, Agricultural Machinery, Power Technology
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Versnik Nowak, Amy L.; DeGise, Joe; Daugherty, Amanda; O'Keefe, Richard; Seward, Samuel, Jr.; Setty, Suma; Tang, Fanny – Journal of American College Health, 2015
Objective: Determine prevalence and types of complementary and alternative medicine (CAM) therapies used and test the significance of demographics and social cognitive constructs as predictors of CAM use in a college sample. Secondary purpose was to guide the integration of CAM therapies into college health services. Participants: Random,…
Descriptors: Incidence, Predictor Variables, Medicine, College Students
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Seiver, Daniel Alan; Haddad, Kamal; Do, Andrew – American Journal of Business Education, 2014
Many academic disciplines have examined the role that variation in Jungian personality types plays in the academic performance of college students. Different personality types tend to have different learning styles, which in turn influence student performance in a variety of college courses. To measure the impact of learning styles on student…
Descriptors: College Students, Cognitive Style, Personality Traits, Introductory Courses
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Konert, Johannes; Gutjahr, Michael; Göbel, Stefan; Steinmetz, Ralf – International Journal of Game-Based Learning, 2014
For adaptation and personalization of game play sophisticated player models and learner models are used in game-based learning environments. Thus, the game flow can be optimized to increase efficiency and effectiveness of gaming and learning in parallel. In the field of gaming still the Bartle model is commonly used due to its simplicity and good…
Descriptors: Foreign Countries, Secondary School Students, Grade 9, Games
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Jeske, Debora; Roßnagell, Christian Stamov; Backhaus, Joy – Journal of Interactive Learning Research, 2014
We examined the role of learner characteristics as predictors of four aspects of e-learning performance, including knowledge test performance, learning confidence, learning efficiency, and navigational effectiveness. We used both self reports and log file records to compute the relevant statistics. Regression analyses showed that both need for…
Descriptors: Student Characteristics, Electronic Learning, Performance, Self Esteem
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Thomas, Wayne W.; Boechler, Patricia M. – International Journal of Virtual and Personal Learning Environments, 2014
With teachers taking more interest in utilizing 3D virtual environments for educational purposes, research is needed to understand how learners perceive and process information within virtual environments (Eschenbrenner, Nah, & Siau, 2008). In this study, the authors sought to determine if learning style or digital literacy predict incidental…
Descriptors: Incidental Learning, Computer Simulation, Simulated Environment, Cognitive Style
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Estelami, Hooman – American Journal of Business Education, 2014
An emerging question in business education is whether all students would benefit from distance learning and if student performance can be predicted prior to enrollment in an online course based on student characteristics. In this paper, the role of student characteristics on academic performance is examined in the context two different online…
Descriptors: Distance Education, Electronic Learning, Online Courses, Business Administration Education
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Hannon, Brenda – Journal of Education and Training Studies, 2014
To-date, studies have examined simultaneously the relative predictive powers of two or three factors on GPA. The present study examines the relative powers of five social/personality factors, five cognitive/learning factors, and SAT scores to predict freshmen and non-freshmen (sophomores, juniors, seniors) academic success (i.e., GPA). The results…
Descriptors: Grade Point Average, Academic Achievement, College Students, College Entrance Examinations
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Ugurlu, Celai Teyyar – Eurasian Journal of Educational Research, 2013
Problem Statement: Lack of habits such as effective time management, determination of priorities, and effective and productive use of time is one of several reasons for procrastination behaviors. Personality traits along with incorrect cognitive loads about the self and the environment are other reasons for procrastination behaviors. At this…
Descriptors: Time Management, Decision Making, School Administration, Administrators
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Wechsler, Solange Muglia; Vendramini, Claudette Maria Medeiros; Oakland, Thomas – Creativity Research Journal, 2012
The validity evidences of thinking and creative styles were analyzed. Two studies are reported, one analyzing the dimensionality of creative styles and the other verifying their external validity. Participants were Brazilians, 1,752 in the first study (55% women) and 128 in the second study (53% women), among whom 45% had demonstrated creative…
Descriptors: Foreign Countries, Cognitive Style, Thinking Skills, Creative Thinking
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Rosander, Pia; Backstrom, Martin – Learning and Individual Differences, 2012
The present study investigated the unique contribution of learning approaches to academic performance, also taking gender differences into account. The participant sample consisted of 476 school pupils (53% girls and 47% boys) from two upper secondary schools in Sweden who completed two self-reported measures related to personality and learning…
Descriptors: Academic Achievement, Females, Cognitive Ability, High School Students
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Lin, Tzung-Jin; Tsai, Chin-Chung – International Journal of Science and Mathematics Education, 2013
In the past, students' science learning self-efficacy (SLSE) was usually measured by questionnaires that consisted of only a single scale, which might be insufficient to fully understand their SLSE. In this study, a multi-dimensional instrument, the SLSE instrument, was developed and validated to assess students' SLSE based on the previous…
Descriptors: High School Students, Science Education, Cognitive Style, Foreign Countries
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