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Abdelhadi, Abdelhakim; Ibrahim, Yasser; Nurunnabi, Mohammad – Education Sciences, 2019
This study aims to use group technology to classify students at the classroom level into clusters according to their learning style preferences. Group technology is used, due to the realization that many problems are similar, and that by grouping similar problems, single solutions can be found for a set of problems. The Felder and Silverman style,…
Descriptors: Cognitive Style, Engineering Education, Teaching Styles, Student Interests
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Green, Richard L.; Milacci, Fred; Richards, Janet – Journal of Ethnographic & Qualitative Research, 2019
In the present transcendental phenomenological study, we describe the experiences of introverted undergraduate students in an active learning English classroom environment at a community college in Florida. We selected 10 participants whose Myers-Briggs Type Indicator (MBTI) scores indicated clear to very clear on the introversion measure and who…
Descriptors: Undergraduate Students, Student Experience, Extraversion Introversion, Active Learning
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Theodoropoulos, Anastasios; Antoniou, Angeliki; Lepouras, George – ACM Transactions on Computing Education, 2017
Is there any relationship between students' cognitive style and the ability to learn programming through serious games? The aim of this work is to assess the learning effectiveness and motivational appeal of digital games for learning basic programming concepts, involving secondary education students. For this purpose, the Code.org®'s activity…
Descriptors: Foreign Countries, Cognitive Style, Computer Science Education, Programming
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Emami, M. Reza; Bazzocchi, Michael C. F.; Hakima, Houman – International Journal of Technology and Design Education, 2020
Cornerstone design courses have become a major part of engineering curricula, where students with different personality types and learning styles work together to design, develop, build, and demonstrate the functionality of a prototype within the duration of a term. This study analyzes student and team performance against gender, personality…
Descriptors: Undergraduate Students, Engineering Education, Design, Personality Measures
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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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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
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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
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Harrington, Rick; Loffredo, Donald A. – Internet and Higher Education, 2010
Online college classes are being offered at a rate that far exceeds the growth of overall higher education classes. However, much can still be learned about how to create a better online classroom environment by determining why a large percentage of students continue to prefer face-to-face classes. One factor among many that may have an influence…
Descriptors: Cognitive Style, Online Courses, Personality, Classroom Environment
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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
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Johnson, Mary – International Journal for the Scholarship of Teaching and Learning, 2009
Background: Many studies have documented the correlation of learning style and academic success for medical students. However, few have investigated the intersection of academic preparedness and students' preference for information processing. This study tested the hypothesis that learning style preference differs among medical students grouped by…
Descriptors: Cognitive Style, Medical Students, Personality Measures, Correlation
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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
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Hokanson, Sonja G. – Hispania, 2000
Varying methodological conditions changed the emphasis of Spanish instruction for 212 English-speaking university students. Evaluation of the cognitive style preferences of first semester students via the Myers-Briggs Type Inventory, Learning Styles Inventory, and a specially-designed questionnaire produced a single cognitive preference score.…
Descriptors: Cognitive Style, College Students, Evaluation Methods, Higher Education
Jonassen, David H. – 1981
This study investigated the effects of personality and cognitive style preferences on preferred teaching styles. Preservice teachers completed the Myers-Briggs Type Indicator, the Educational Cognitive Style Inventory, and the Learning Styles Inventory. Personality types, especially thinking/feeling, significantly predicted the importance of…
Descriptors: Cognitive Style, Higher Education, Personality Studies, Preservice Teacher Education
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McTurk, Carolyn; Shakespeare-Finch, Jane – Australian Journal of Career Development, 2006
Barriers to employment are linked to individual factors such as thinking styles and personality traits. Personality and cognitive differences between employed (n = 55) and unemployed (n = 57) cohorts were analysed to quantify the association between these variables and employment status. Using the Myers-Briggs Type Indicator (MBTI) and the…
Descriptors: Employment Level, Personality, Unemployment, Predictor Variables
Gill, Rajinder S. – Online Submission, 2010
American students accustomed to standardization in secondary education have experience with fulfilling the requirements imposed upon them, but often these students require further assistance to facilitate their personal decisions about education after high school. Postsecondary education and career preparation programs, educators, and educational…
Descriptors: High Schools, Educational Counseling, Postsecondary Education, Career Counseling
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