Possible Applications Of Analytics Data In Online Courses

Abstract

Information and communication technologies are fundamentally changing the sphere of education in modern society. Online education is evolving and offering new opportunities for students' data analysis. At the same time, there is a certain barrier in the interaction of specialists of different professions engaged in data analysis in online learning. The purpose of this article is to reduce this barrier by giving a brief analysis of the main directions of development and the possibility of using data in online learning and showing what results could be expected from the presented methods now and in the near future. This study presents the priority areas of learning analytics such as tracking students at risk, analysis of the most effective options for the course (face to face, blended, online), analysis of the relationship of student success from the key characteristics of the course and the behavior of students, the improvement of students' assessment. The article also discusses the options for using data on the behavior of students in an individual and generalized form.