Learning analytics in Russia and abroad: level of development, trends and prospects

Abstract

Problem statement. Learning analytics is an emerging scientific field, which studies learners and learning process based on data from digital environment. The aim of the study - to observe the development of learning analytics, its prospects and limitations and detecting the state of art of this scientific field in Russia. Methodology . The study is based on context analysis of scientific articles on the topic in the public domain. Special attention is given to reviewing scientific publications of Russian-speaking authors devoted to analytics of education data and the implementation of learning analytics tools in the educational process. Results . The research detects the global directions of learning analytics development and its problematic aspects. It provides the quantitative and qualitative analysis of scientific publications of Russian-speaking authors and identifiers the most popular research questions in the learning analytics field. It proposes the author’s vision of the hierarchy of directions for learning analytics development, consisting of the research aspect, the environment transformation aspect and the legal regulation aspect. The national initiatives in the digitalization of education are briefly discussed. Conclusion . A certain lag in the level of development of learning analytics in Russia from the global one is revealed. At the same time, there is a noticeable increase in interest to this area among individual researchers, educational institutions and at the state level, which allows us to count on positive changes.