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Asogwa, Uche Donatus; Onwuneme, Chinonye Virginia; Ogbonna, Samuel C.; Nkanu, Celestine Unoh; Eze, Ben; Mohammad, Abdullahi – International Journal of Curriculum and Instruction, 2022
Learners have their dominant intelligence which gave rise to the different learning styles, a dominant mode of information reception, processing, and storage. The study will determine the extent each learner group perceives the use of Facebook for learning as useful and easy to use. 213 students purposively sampled from five departments which…
Descriptors: Student Attitudes, Preferences, Web 2.0 Technologies, Instructional Improvement
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Threeton, Mark D.; Walter, Richard A.; Evanoski, Daniel C. – Career and Technical Education Research, 2013
In an effort to provide further insight into the individual education needs of learners within the trade and industry sector of Career and Technical Education (CTE), the authors (a) sought to identify the predominant personality type and learning style distribution of postsecondary automotive technology students, as well as (b) evaluate whether…
Descriptors: Cognitive Style, Personality Traits, Educational Needs, Vocational Education
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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
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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
Reifle, Sheila; Edwards, Agnes – 1975
The instruments used in the evaluation of Project C-BE (computer-based instruction) are presented and described in this report. A brief description of each instrument, its purpose, developmental history, references and reliability studies are provided. These instruments were administered to Project C-BE classes in an attempt to identify…
Descriptors: Attitude Measures, Attitudes, Computer Assisted Instruction, Computer Oriented Programs
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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
Dunn, Rita; And Others – 1983
Educators, environmentalists, and psychologists generally agree on the need to incorporate opportunities for movement by students into the classroom, but an extensive review of the literature did not reveal any studies concerned primarily with the relationships among students' mobility, their learning style preferences, and their academic…
Descriptors: Academic Achievement, Behavior Patterns, Classroom Research, Cognitive Style
Wilson, Vicki – 1996
Biology I students (n=166) in a high school in southern Mississippi completed the Learning Styles Inventory, a 45-item instrument designed to measure preference for channel of learning (visual, auditory, or kinesthetic), sociological environment (individually or in groups), and mode of expression (oral or written). A three-way analysis of variance…
Descriptors: Active Learning, Analysis of Variance, Auditory Perception, Biology