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Rusen Meylani – International Society for Technology, Education, and Science, 2023
Due to the COVID-19 pandemic, there has been a significant change in college mathematics education toward online learning, which has advantages and disadvantages for students, instructors, and institutions. To ensure the effectiveness of online learning, it is crucial to understand the factors that influence its success. This study looks at the…
Descriptors: COVID-19, Pandemics, Instructional Effectiveness, Electronic Learning
Wilson, Vicki A. – 1998
The literature on learning styles is full of unresolved issues, both theoretical and practical. Early research into learning styles includes that of H. A. Witkin, who developed the Embedded Figures Test in the late 1960s. This test determines the "field dependence" or "field independence" of individuals, marking their global…
Descriptors: Cognitive Style, Learning Modalities, Learning Strategies, Literature Reviews

Riechmann-Hruska, Sheryl – Equity and Excellence, 1989
Discusses the following factors influencing learning: (1) environment; (2) emotional makeup; (3) persistence; (4) timing of learning; (5) teaching method; (6) cognitive style; (7) food intake; and (8) psychological factors, including the difference between analytical and global thinking. Discusses how to get a sense of one's personal learning…
Descriptors: Adult Students, Cognitive Processes, Cognitive Style, Educational Environment

Borg, Mary O.; Shapiro, Stephen L. – Journal of Economic Education, 1996
Utilizes the Myers-Briggs Type Indicator (MBTI) to delineate four basic personality types and their corresponding learning styles. Compares student's learning style with professor's teaching style. Suggests options for improving instruction by offering teaching and grading strategies that better accommodate student personality types and learning…
Descriptors: Academic Ability, Academic Achievement, Cognitive Processes, Cognitive Style

Riding, Richard J.; Read, Geoffrey – Educational Psychology, 1996
Surveys 78 British secondary school students and correlates their responses regarding preferences in learning styles to information previously determined by the computer-presented Cognitive Styles Analysis. Examines the students' preferences for group, pair, or individual work, as well as, open and closed tasks. (MJP)
Descriptors: Aural Learning, Cognitive Processes, Cognitive Style, Computer Uses in Education