Personalization Strategies Based on Felder-Silverman Learning Styles and Its Impact on Learning: A Literature Review

Abstract

Addressing different learner’s characteristics and needs is a critical issue in the process of learning. The advent of adaptive e-Learning technology has made it possible to tailor learning materials for different learner characteristics including learning styles. Delivering matching learning objects and strategies through an adaptive e-Learning system is believed to have a profound impact on learner’s learning performance. A body of research has offered various personalization strategies including learning object mapping according to learning styles. This paper focused on exploring how the learning objects are mapped to Felder-Silverman learning styles and the effect of implementing such approach. In this paper, 15 relevant publications were reviewed in order to gain some insights into the implementation of learning styles-based personalization. Based on the insights found this study proposed a conceptual learning object mapping and personalization strategies. The findings and recommendations of this study can be utilized as the basis to build an adaptive e-Learning system based on Felder-Silverman Learning Style Model (FSLSM).