Psychometric Predictors of Educational Success of StudentsHumanitarians in Social Networks

Abstract

The proposed study is interdisciplinary in its nature and performed at the intersection of the social, humanitarian and
information sciences. The work is one of the pilot studies within the framework of the development of a theoretical and
applied model for predicting a person’s life activity in its educational activities through social networks. Social networks
are the result of profound changes in social reality models due to the intensive “digitalization” of modern society. In
general, social networks reflect the virtualization of social processes which include the fusion of social and virtual realities.
The behaviour of a person within the framework of social networks is reflected in the products of its virtual activity - the
quantitative and qualitative (meaningful) metrics of its personal profile (friends, posts, likes, subscribers, etc.). As part of
the hypothesis that the similarity of social networks users’ virtual behaviour indicates the similarity of their real behaviour,
we assume that a number of personal profile characteristics are psychometric predictors of future students' academic
achievements. The interval distribution regularities of average quantitative characteristics values for high-achieving and
low-achieving humanists’ personal profiles in social networks (number of friends, communities, subscribers and photos)
are shown based on their comparative analysis. As a result, psychometric predictors for academic achievements of
humanists, which allow predicting their academic performance in the educational process, are presented in the work as a
first approximation.