Publication Date
In 2024 | 0 |
Since 2023 | 0 |
Since 2020 (last 5 years) | 0 |
Since 2015 (last 10 years) | 0 |
Since 2005 (last 20 years) | 2 |
Descriptor
Cognitive Style | 2 |
College Students | 2 |
Foreign Countries | 2 |
Measures (Individuals) | 2 |
Student Attitudes | 2 |
Asian Culture | 1 |
Class Activities | 1 |
Class Rank | 1 |
Computer Simulation | 1 |
Correlation | 1 |
Cross Cultural Studies | 1 |
More ▼ |
Author
Berg, Nicola | 1 |
Holtbrugge, Dirk | 1 |
Mohr, Alexander Toni | 1 |
Moodie, Douglas R. | 1 |
Sun, Yanmin | 1 |
Wang, Bailing | 1 |
Zhan, Ginny Q. | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
China | 2 |
United States | 2 |
Germany | 1 |
Netherlands | 1 |
Poland | 1 |
Russia | 1 |
United Arab Emirates | 1 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Learning Style Inventory | 2 |
Myers Briggs Type Indicator | 1 |
What Works Clearinghouse Rating
Zhan, Ginny Q.; Moodie, Douglas R.; Sun, Yanmin; Wang, Bailing – Journal of Learning in Higher Education, 2013
This research project explores learning styles of college students in the US and China. The Grasha-Reichmann Student Learning Style Scale, designed to measure how college students view their learning, was used as the main instrument for the current study. A total of 511 college students, 274 from the US and 237 from China, participated in this…
Descriptors: College Students, Cognitive Style, Foreign Countries, Gender Differences
Mohr, Alexander Toni; Holtbrugge, Dirk; Berg, Nicola – Teaching in Higher Education, 2012
This paper uses data gathered from 953 students to investigate how far individuals' preferences for a particular learning style are associated with the perceived usefulness of e-learning. Our findings reveal the effect of individuals' learning styles as well as their gender and professional experience on the perceived usefulness of different forms…
Descriptors: Instructional Design, Cognitive Style, Electronic Learning, Correlation