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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
Sugiharto – Journal of Education and Practice, 2015
The aims of this research were to determine the effect of cooperative learning model and learning styles on learning result. This quasi-experimental study employed a 2x2 treatment by level, involved independent variables, i.e. cooperative learning model and learning styles, and learning result as the dependent variable. Findings signify that: (1)…
Descriptors: Cooperative Learning, Cognitive Style, Models, Teaching Methods
Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – Australasian Journal of Educational Technology, 2017
This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…
Descriptors: Cognitive Style, Blended Learning, Computer Attitudes, Models
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
Huang, Yong-Ming – Australasian Journal of Educational Technology, 2015
The use of collaborative technologies in learning has received considerable attention in recent years, but few studies to date have examined the factors that affect sequential and global learners' intention to use such technologies. Previous studies have shown that the learners of different learning styles have different needs for educational…
Descriptors: Technology Uses in Education, Intention, Performance Factors, Sequential Learning
Mahnane, Lamia; Tayeb, Laskri Mohamed; Trigano, Philippe – International Journal of Information and Communication Technology Education, 2013
Recent years have shown increasing awareness for the importance of adaptivity in e-learning. Since the learning style of each learner is different. Adaptive e-learning hypermedia system (AEHS) must fit different learner's needs. A number of AEHS have been developed to support learning styles as a source for adaptation. However, these systems…
Descriptors: Electronic Learning, Hypermedia, Cognitive Style, Knowledge Level
Sommer, Lutz – Electronic Journal of Research in Educational Psychology, 2013
Introduction: The paper at hand examines the influence of Cognitive Style (CS) and International Experience (IE) on International Entrepreneurial Self-Efficacy (IESE) and International Entrepreneurial Intention (IEI) as well as the role of Academic Education (AE) in this context. Method: Based on a survey that was conducted among 111 students the…
Descriptors: Entrepreneurship, Cognitive Style, Academic Education, Models
Nicholson, Jennifer; Nicholson, Darren; Valacich, Joseph S. – Journal of Information Technology Education, 2008
In today's knowledge economy, technology is utilized more than ever to deliver instructional material to the learner. Nonetheless, information may not always be presented in a manner that maximizes the learning experience, resulting in a negative impact on learning outcomes. Drawing on the Task-Technology Fit model, a research framework was…
Descriptors: Cognitive Style, Instructional Design, Computer Assisted Instruction, Instructional Materials

Bishop-Clark, Cathy – Journal of Research on Computing in Education, 1995
Presents a model that suggests the cognitive style and personality traits that are likely to affect programming stages and empirically investigates 1 portion of that model with 192 college students. Correlations between results from the Group Embedded Figures Test and design and coding tasks are discussed. (LRW)
Descriptors: Cognitive Style, College Students, Comparative Analysis, Computer Science Education
Farrell, Beverly A.; Kotrlik, Joe W. – Journal of Vocational Education Research, 2003
Underpinned on the theories of individual differences and the information processing paradigm, the author hypothesized five different strategical information processing styles (SIPS): visuo-spatial, analytical, social, categorical, and verbal. An instrument was developed containing specific measurable descriptors for each of the five constructs.…
Descriptors: Factor Analysis, Cognitive Style, Undergraduate Students, Individual Differences

Harris, Roma M.; Ross, Catherine L. – Journal of Education for Librarianship, 1984
Results of investigation of M.L.S. degree students' needs for structure in required research methods course support hypothesis that, when exposed to such a course taught under low structure conditions, students with simple cognitive style would express demand for greater structure than would students with relatively complex cognitive style. (12…
Descriptors: Cognitive Style, Foreign Countries, Graduate Students, Graduate Study
Aanstoos, Christopher M. – 1985
In this paper the theory that human thinking proceeds according to the computer model, or symbol manipulation, is reviewed and challenged. The research used as subjects five highly rated tournament chess players who "thought aloud" during a chess game to provide tape recorded protocols of decisions made while playing. These protocols…
Descriptors: Cognitive Processes, Cognitive Style, Computer Science, Computer Simulation

Lewis, Mathew W.; Anderson, John R. – Cognitive Psychology, 1985
The process of forming operator schemata was studied in three experiments. In each experiment a greater amount of predictive information in a stimulus item increased the chance of selecting the operator accurately.
Descriptors: Analysis of Variance, Cognitive Style, College Students, Computer Oriented Programs