Abstract

Information technologies are fundamentally changing modern society. Almost any human activity becomes the source of data for possible analysis and processing. The authors have analyzed more than hundred examples of data mining in modern society presented in open sources focusing on the field of education. In this study, the interdisciplinary approach is used. It makes possible to consider human activity as the basis for data analysis as the complex social phenomenon from the perspective of the sociology of communication and global Internet usage. At the same time, the authors note that the current development of technologies allows analyzing behavior of people not only in the Internet (online), but also in everyday life (offline) with the help of individual devices (cameras in smartphones and computers, fitness trackers, etc.) and with the use of facial recognition for various social situations. This study focuses on learning process and human behavior usage as the source of data in this area because information and communication technologies have changed the format of modern education. Therefore a significant part of education content has moved to the online environment. Integration of various data concerning e-learning, human movement, Biological Feedback can establish complex digital education model with prognostic and recommendatory functions that take into account behavior, individual characteristics, knowledge and skills in dynamics. This model supports a lifelong trajectory of personal development not limited by initial and final indicators and framework of educational institution. Nowadays technologies that allow tracking human behavior are causing discussions related to ethics and the issue of human freedom, though they provide deeper analysis of people's activities. Certainly these opportunities can be the benefit for society and miscellaneous social environment.

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