Main Article Content
This paper aims at studying and analyzing student learning style preferences in a private university based on differences in clusters of scientific backgrounds (exact and non-exact) and gender. This research is quantitative research with a descriptive design, which gives a description of individuals or groups about the conditions and symptoms that occur by describing the profile of learning style preferences. The computation process of identifying learning style preferences was done and analyzed computationally with a MySQL PHP-based online application that is made independently and has never been before. The finding is that there are differences in the learning style preferences of undergraduate students with different scientific backgrounds. Meanwhile, learning style preferences concerned to gender differences in the same science tend to be the same. Both male and female are dominant in learning style preferences according to their scientific backgrounds. So that the learning style preferences based on gender are not much different. The information regarding student learning style preferences is expected that the lecturer will be able to develop lecture strategies in increasing student academic achievement, providing motivation for lecturers to always innovate and developing the learning models. In addition, the data provided can be a reference for educators everywhere so they do not treat all students the same way.