Abstract:

Learners come with diversity in their individual needs and characteristics such as different learning styles and preferences, personality traits and cognitive abilities. The aim of this study is to investigate the relation between the Felder-Silverman learning styles, the Big Five personality traits, and gender among Computer Science undergraduates. 90 students completed a demographic data form, the Index of Learning Styles (ILS), and the Big Five Inventory (BFI). A quantitative research methodology was used to conduct the study. Statistical Package for the Social Sciences (SPSS, version 24.0) was used for statistical analysis. Results have shown that the most common learning style was visual and the majority of students had neuroticism personality trait. There was no significant relationship between gender and learning styles or personality traits. Further finding indicated that there was no significant relationship between the students’ learning styles and their personality traits.

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