Student Learning Styles in Information Technology

Abstract

Teachers employ various strategies to facilitate student learning. Each student possesses a unique way of gaining motivation and absorbing information. Achieving the best possible outcomes in the teaching-learning process involves considering the individual learning styles of each student. Among the several models available for determining learning styles, Kolb’s model stands out as widely utilized. This article aims to apply Kolb’s learning styles model to identify the preferred learning styles of 53 students enrolled in a course focused on information technologies. The sampling method used was non-probabilistic, and data collection relied on the Kolb learning style inventory. The obtained results indicate that the prevailing learning styles among the surveyed students are convergent (47.2%) and assimilative (34.0%). Familiarity with the diverse learning styles of the students can significantly assist teachers in enhancing the efficiency of the teaching-learning process.