The aim of the article is to study the prediction model of an individual learning style in e-learning systems to enhance the effectiveness of dentistry education. In developing the model, Neil Fleming’s VARK concept of information perception was applied. The statistical data of the Russian Federal State Statistics Service on the students’ distribution in the field of preparation of dentists in higher educational institutions for 2018–19 was used to assess the current state of development of dental education and the possibilities of introducing e-learning systems. In order to achieve the goal set, the anonymous survey was conducted among dental students of the I.M. Sechenov First Moscow State Medical University (MSMU). To compare the state of dental education with the developed countries, the study provides a survey performed by the American Dental Association in the United States. The investigation among the MSMU students involved 18 male and 24 female participants. The correlation analysis of the relationships between different learning styles revealed the closest relation between auditory and visual learning. Since the correlation was negative (r = −0.500), the visual style was considered less developed. Based on the data obtained, a model for predicting an individual learning style based on a specially designed questionnaire was proposed to improve the e-learning of dental students. The information resulted from the current research will contribute to the promotion of a profound study of academic disciplines in the field of dental education by developing an e-learning system. Thus, the use of students’ cognitive skills could be improved.

本文旨在研究在线学习系统中个体学习风格的预测模型，以提高牙科教育的有效性。在开发模型时，应用了尼尔·弗莱明（Neil Fleming）的VARK信息感知概念。俄罗斯联邦国家统计局关于2018-19年度高等学校牙医准备领域中学生分布的统计数据用于评估牙科教育的发展现状以及引入电子学习的可能性系统。为了实现这一目标，在莫斯科谢赫诺夫第一莫斯科国立医科大学（MSMU）的牙科学生中进行了匿名调查。为了比较发达国家的牙科教育状况，该研究提供了由美国美国牙科协会进行的一项调查。MSMU学生中的调查涉及18名男性和24名女性参与者。不同学习风格之间的关系的相关性分析揭示了听觉和视觉学习之间最紧密的关系。由于相关性为负（r = -0.500），因此认为视觉风格不太发达。基于获得的数据，提出了一种基于专门设计的调查表来预测个人学习风格的模型，以改善牙科学生的电子学习。当前研究所得的信息将通过开发电子学习系统，促进对牙科教育领域的学科进行深入研究。从而，