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Lee, Chen Kang; Sidhu, Manjit Singh – Educational Technology & Society, 2015
Engineering educators have been increasingly taking the learning style theories into serious consideration as part of their efforts to enhance the teaching and learning in engineering. This paper presents a research study to investigate the learning style preference of the mechanical engineering students in Universiti Tenaga Nasional (UNITEN),…
Descriptors: Engineering Education, Cognitive Style, Measures (Individuals), Preferences
Derakhshan, Ali; Shakki, Farzaneh – SAGE Open, 2018
It is also hypothesized that proficiency level may have a voice with respect to learning styles. Therefore, to throw light on this issue, the present investigation targeted the relationship between Iranian English as a Foreign Language (EFL) learners' learning styles and their levels of proficiency at Golestan University, Gorgan, Iran. To this…
Descriptors: Foreign Countries, Language Proficiency, English (Second Language), College Students
Tabor, Sharon W.; Minch, Robert P. – Journal of Information Technology Education: Research, 2013
Digital technologies offer many opportunities for creating engaging course content. In this study we captured student perceptions and adoption choices related to creating and using digital media as learning tools. Podcasts, video and other media were integrated in a variety of contexts and tasks in two undergraduate information technology (IT)…
Descriptors: Undergraduate Students, Student Attitudes, Adoption (Ideas), Electronic Learning
Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung – Educational Technology & Society, 2013
A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…
Descriptors: Electronic Learning, Extraversion Introversion, Individual Differences, Learning Activities
Smits, Dirk-Wouter; Verschuren, Olaf; Gorter, Jan Willem; Lindeman, Eline; Jongmans, Marian; Ketelaar, Marjolijn – Physical & Occupational Therapy in Pediatrics, 2011
The purpose of this study was to examine professionals' perceptions on classifying learning styles in the context of teaching motor activities to children and adolescents with cerebral palsy (CP). The participants were 21 pediatric physical therapists (PPTs) and seven physical educators (PEs) in three schools for special education in The…
Descriptors: Cognitive Style, Cerebral Palsy, Adolescents, Classification
Nguyen, Dat-Dao; Zhang, Yue – Journal of College Teaching & Learning, 2011
This study uses the Learning-Style Inventory--LSI (Smith & Kolb, 1985) to explore to what extent student attitudes toward learning process and outcome of online instruction and Distance Learning are affected by their cognitive styles and learning behaviors. It finds that there are not much statistically significant differences in perceptions…
Descriptors: Electronic Learning, Feedback (Response), Cognitive Style, Student Attitudes
Béres, Ilona; Magyar, Timea; Turcsányi-Szabó, Márta – Informatics in Education, 2012
In this paper we aim to describe the process by which our personalised web-based collaborative teaching/learning methodology (CECIP--Collaboration--Evaluation--Critical thinking--Individual assessment--learner Profile) evolved originating from Vygotsky's theory and based on the (C) collaborative construction of student's knowledge, (E) developing…
Descriptors: Cognitive Style, Blended Learning, Teaching Methods, Cognitive Psychology
Rule, David L.; Grippin, Pauline C. – 1988
Theoretical framework, instrument development, and psychometric qualities are reviewed for some measures of learning style currently in use with adults. Instruments reviewed include: (1) Kolb's Learning Style Inventory I; (2) Kolb's Learning Style Inventory II; (3) the Myers-Briggs Type Indicator; (4) the Productivity Environmental Preferences…
Descriptors: Adult Learning, Adults, Cognitive Measurement, Cognitive Style
Sharp, John G.; Bowker, Rob; Byrne, Jenny – Research Papers in Education, 2008
Developments within education, psychology and the neurosciences have shed a great deal of light on how we learn while, at the same time, confirming for us all that learning is a profoundly complex process and far from understood. Against this background, and in this position article, we consider the recent rise in interest in the concept of…
Descriptors: Cognitive Style, Foreign Countries, Learning Processes, Visual Perception
Salter, Daniel W.; Evans, Nancy J.; Forney, Deanna S. – Journal of College Student Development, 2006
The stability of learning style preferences, as measured by the Myers-Briggs Type Indicator (MBTI) and Learning Style Inventory (LSI), was examined using a configural frequency analysis of differences. Thirteen cohorts (222 graduate students) completed the instruments 3 times during their programs. Implications for use of learning style measures…
Descriptors: Longitudinal Studies, Cognitive Style, Cognitive Measurement, Grouping (Instructional Purposes)
Miller, Pamela – 2001
Research shows that student motivation and performance improves when instruction is adapted to student learning preferences and styles. Educators have a responsibility to understand the diversity of their students and to present information in a variety of ways in order to accommodate all learners' preferences. Several learning styles theories…
Descriptors: Cognitive Style, Diversity (Student), Elementary Secondary Education, Higher Education
McNulty, John A.; Sonntag, Beth; Sinacore, James M. – Anatomical Sciences Education, 2009
Web-based computer-aided instruction (CAI) has become increasingly important to medical curricula. This multi-year study investigated the effectiveness of CAI and the factors affecting level of individual use. Three CAI were tested that differed in specificity of applicability to the curriculum and in the level of student interaction with the CAI.…
Descriptors: Medical Students, Cognitive Style, Computer Assisted Instruction, Student Surveys