Design of learning scenarios based on learning styles according to the KOLB model

Abstract

The term learning style refers to the concept of individual differences in which teaching or learning mode is most effective for them. Proponents of learning style assessment believe that optimal teaching requires diagnosing individual learning styles and adjusting teaching accordingly. The assessment of learning styles usually requires people to assess what kind of information presentation they like and/or the mental activities they find most attractive or suitable, although the assessment tools are very diverse, in this article we will propose a pedagogical scenarios 'design adapted to different learning style.

Machine Learning Approach for an Adaptive E-Learning System Based on Kolb Learning Styles

“…Gregorc Style Delineator model (Concrete Sequential, Abstract Sequential, Abstract Random, Concrete Random) by [4], Dunn and Dunn model (Environmental, Emotional, Sociological, Physical, Psychological, Verbal, and Logical) by [5]. Understanding learning styles helps e-learning systems provide students with personalized content to meet their needs and improve the learning process [6].…”