Personalized E-Learning: Relation Between Felder– Silverman Model and Academic Performance

Diana Zagulova,Natalya Prokofyeva,Kateryna Synytsya,Sabina Katalnikova,Viktorija Boltunova

doi:10.2478/acss-2019-0004

Abstract

Abstract The growing demands for the training of students and the need for continuous improvement of the quality of university education make it necessary to find and apply more effective educational technologies and practices based on the correlation of teaching with the student’s profile and his/her individual Learning Style. This article discusses the topic of relevance of personalized e-learning. It describes Learning Styles and looks at the Felder– Silverman model in more detail. The article contains the results of student surveys on the basis of which the interrelation between the Index of Learning Styles and academic performance is analysed. The relation between performance and learning styles according to the Felder-Silverman Learning Style Model is shown: in some specialties, students with sequential learning style have higher academic performance than students with global learning style, as well as students with mild learning style preferences on the Activist/Reflector dimension.

Highlights

IntroductionIn the field of education, the principles of humanization and personal orientation began to prevail
Today the innovative vector of the development of society is becoming decisive
To build a recommender system model for personalized elearning, first, it is necessary to determine which learning style profiles are most common among students, and which profiles are rarer

Summary

Introduction

In the field of education, the principles of humanization and personal orientation began to prevail. They are reflected in IBM’s annual 5 in 5 forecast, which describes the five most interesting potential inventions and innovations for the 5 years. This forecast is based on market trends and social processes that will help make these innovations real in the five years. The first place is occupied by the forecast of personalized education, when each student will need an individual approach. The issue of personalization in e-learning has been the subject of many recent research efforts [2]–[4]

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Conclusion