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Khamparia, Aditya; Pandey, Babita – International Journal of Web-Based Learning and Teaching Technologies, 2018
E-learning and online education has made great improvements in the recent past. It has shifted the teaching paradigm from conventional classroom learning to dynamic web based learning. Due to this, a dynamic learning material has been delivered to learners, instead ofstatic content, according to their skills, needs and preferences. In this…
Descriptors: Classification, Electronic Learning, Online Courses, Anxiety
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Chang, Yi-Hsing; Chen, Yen-Yi; Chen, Nian-Shing; Lu, You-Te; Fang, Rong-Jyue – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study designs and implements an adaptive learning management system based on Felder and Silverman's Learning Style Model and the Mashup technology. In this system, Felder and Silverman's Learning Style model is used to assess students' learning styles, in order to provide adaptive learning to leverage learners' learning preferences.…
Descriptors: Management Systems, Cognitive Style, Supplementary Reading Materials, Usability
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Lang, Guido; O'Connell, Stephen D. – Information Systems Education Journal, 2015
We investigate the relationship between learning styles, online content usage and exam performance in an undergraduate introductory Computer Information Systems class comprised of both online video tutorials and in-person classes. Our findings suggest that, across students, (1) traditional learning style classification methodologies do not predict…
Descriptors: Introductory Courses, Correlation, Cognitive Style, Undergraduate Students
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Wilson, LeVon E.; Sipe, Stephanie R. – Journal of Legal Studies Education, 2014
The purpose of this study was to determine whether an active learning classroom environment is more effective in teaching university students certain concepts of business law than the traditional lecture environment. To generate data to answer this question, over a seven-semester period beginning in fall semester 2005, six classes of Legal…
Descriptors: Comparative Analysis, Active Learning, Cognitive Style, Conventional Instruction
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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
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Flint, Lori J.; Ritchotte, Jennifer A. – Journal of Advanced Academics, 2012
This article presents the authors' critique on "Differentiating Low Performance of the Gifted Learner: Achieving, Underachieving, and Selective Consuming Students" (Figg, Low, McCormick, & Rogers 2012). The authors of "Differentiating Low Performance of the Gifted Learner: Achieving, Underachieving, and Selective Consuming Students" endeavored to…
Descriptors: Academically Gifted, Underachievement, Qualitative Research, Differences
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Rassaei, Ehsan – Language Teaching Research, 2015
While previous research has indicated that learners with field-dependence (FD) and field-independence (FI) cognitive styles benefit differentially from different instructional modes, previous corrective feedback studies have ignored the issue of matching error correction strategies to learners' cognitive style. To shed some light on this issue,…
Descriptors: Cognitive Style, Second Language Learning, Error Correction, Feedback (Response)
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Ausburn, Lynna J.; Ausburn, Floyd B.; Kroutter, Paul – Journal of Educational Technology, 2010
Virtual reality (VR) technology has demonstrated effectiveness in a variety of technical learning situations, yet little is known about its differential effects on learners with different levels of visual processing skill. This small-scale exploratory study tested VR through quasi-experimental methodology and a theoretical/conceptual framework…
Descriptors: Computer Simulation, Visual Perception, Comparative Analysis, Conventional Instruction
Haenn, Joseph F. – 1974
The problem which this study addresses is the effects of cognitive style and variations in the free sort procedures on the sorting outcome of sorting time and number and quality of manifest partitions. This experiment was designed to look at the effects of the cognitive styles of field dependence, category width and equivalence range,…
Descriptors: Classification, Cognitive Style, Conceptual Tempo, Models