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Cheng, Sanyin; Zhang, Li-fang – Journal of Deaf Studies and Deaf Education, 2015
This study explores how university students' thinking styles changed over a single academic year by twice administering the Thinking Styles Inventory-Revised II to 256 deaf or hard-of-hearing (DHH) students and 286 hearing students from art and design academic disciplines in China. Results showed that after having studied at the university for one…
Descriptors: College Students, Thinking Skills, Deafness, Hearing Impairments
Wu, ChienHsing; Liu, Chia-Fang – Education and Information Technologies, 2015
Literature has paid limited attention to the preference of instructors to adopt e-teaching/learning system (ET/LS) by considering the cognitive styles. The current study proposes a research model to describe the effects of technology acceptance behavior and innovation diffusion behavior on ET/LS adoption for elementary school instructors. A…
Descriptors: Elementary School Teachers, Computer Assisted Instruction, Cognitive Style, Teacher Behavior
Badillo, Edelmira; Font, Vicenç; Edo, Mequè – International Journal of Science and Mathematics Education, 2015
We analyze the mathematical solutions of 7- to 8-year-old pupils while individually solving an arithmetic problem. The analysis was based on the "configuration of objects," an instrument derived from the onto-semiotic approach to mathematical knowledge. Results are illustrated through a number of cases. From the analysis of mathematical…
Descriptors: Problem Solving, Elementary School Students, Mathematics Skills, Arithmetic
Czerkawski, Betul C. – Online Journal of Distance Learning Administration, 2015
While student data systems are nothing new and most educators have been dealing with student data for many years, learning analytics has emerged as a new concept to capture educational big data. Learning analytics is about better understanding of the learning and teaching process and interpreting student data to improve their success and learning…
Descriptors: Electronic Learning, Data, Data Analysis, Learning Processes
Thon, Sarah; Hansen, Pamela – Athletic Training Education Journal, 2015
Context: Recognizing the preferred learning style of professional undergraduate and graduate athletic training students will equip educators to more effectively improve their teaching methods and optimize student learning. Objective: To determine the preferred learning style of professional undergraduate and graduate athletic training students…
Descriptors: Undergraduate Students, Graduate Students, Athletics, Allied Health Occupations Education
Christensen, James Leroy – ProQuest LLC, 2015
This study investigated the relationship between creativity and learning style preference, age, and educational achievement. One hundred adult graduate students from the departments of Adult Education and Higher Education Administration completed the Abbreviated Torrance Test for Adults (ATTA) and the Gregorc Style Delineator. The ATTA measured…
Descriptors: Creativity, Cognitive Style, Preferences, Age Differences
Spüler, Martin; Walter, Carina; Rosenstiel, Wolfgang; Gerjets, Peter; Moeller, Korbinian; Klein, Elise – ZDM: The International Journal on Mathematics Education, 2016
Numeracy is a key competency for living in our modern knowledge society. Therefore, it is essential to support numerical learning from basic to more advanced competency levels. From educational psychology it is known that learning is most effective when the respective content is neither too easy nor too demanding in relation to learners'…
Descriptors: Numeracy, Mathematics, Medicine, Cognitive Processes
Hale, Janice E. – Education and Urban Society, 2016
This article is a review of the literature related to the cognitive, learning, behavioral, and cultural styles of African American children. This is an assessment of the progress that has been made since 1982 when my first book was published. Several flaws in the creation of the science that undergirds learning styles research related to African…
Descriptors: African American Children, Cognitive Style, Measurement Techniques, Academic Achievement
Mkpanang, John T. – Journal of Education and Practice, 2016
The research investigated the influence of creative style and gender on students' achievement in physics. The sample consisting one hundred (100) Senior Secondary II physics students, made up of 50 males and 50 females in Oruk Anam Local Government Area of Akwa Ibom State, Nigeria, were administered the Kirton Adaptor-Innovator Inventory (KAI),…
Descriptors: Gender Differences, Physics, Secondary School Students, Achievement Tests
Griffiths, Carol; Inceçay, Görsev – Journal of Psycholinguistic Research, 2016
Although the learning style construct has aroused much interest over the years, questions remain regarding basic issues such as definition, the validity and/or reliability of various measurement instruments, and the relationship between learning style and successful learning. Furthermore, although maintaining stylistic flexibility is recommended…
Descriptors: Foreign Countries, Cognitive Style, Learning Processes, College Students
Gunn, Kerry C. M.; Delafield-Butt, Jonathan T. – Review of Educational Research, 2016
Inclusive education requires teachers to adapt to children's learning styles. Children with autism spectrum disorder bring challenges to classroom teaching, often exhibiting interests restricted to particular topics. Teachers can be faced with a dilemma either to accommodate these restricted interests (RIs) into teaching or to keep them out of the…
Descriptors: Inclusion, Autism, Task Analysis, Children
Casakin, Hernan; Gigi, Ariela – Assessment & Evaluation in Higher Education, 2016
Cognitive style has a strong predictive power in academic and professional success. This study investigated the cognitive profile of candidates studying architecture. Specifically, it explored the relation between visual and verbal cognitive styles, and the performance of candidates in admission procedures. The cognitive styles of candidates who…
Descriptors: Cognitive Style, College Admission, Architectural Education, College Applicants
Li, Jin – British Journal of Educational Psychology, 2016
Background: Kindergarten is the age at which children's future time perspective emerges. This capacity enables them to form goals based on past and ongoing experiences and project themselves in the future. This development may play an important role in guiding children in self-regulated learning. When faced with the conflict between their need to…
Descriptors: Kindergarten, Cultural Differences, Play, Learning Processes
Dimou, Helen; Kameas, Achilles – Quality Assurance in Education: An International Perspective, 2016
Purpose: This paper aims to present a model for the quality assurance of digital educational material that is appropriate for adult education. The proposed model adopts the software quality standard ISO/IEC 9126 and takes into account adult learning theories, Bloom's taxonomy of learning objectives and two instructional design models: Kolb's model…
Descriptors: Quality Assurance, Educational Quality, Cognitive Style, Adult Education
Aydin, Bünyamin – Journal of Education and Training Studies, 2016
The aim of this research is to determine eighth grade students' learning styles and attitudes toward math class and to show the relationship between their learning styles and attitudes toward math class. Sample of the research consists of 100 eighth grade students having education in a school in the Central Anatolia of our country. As data…
Descriptors: Foreign Countries, Middle School Students, Grade 8, Cognitive Style

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