Popov A., Glukhov P. Big Data Discourse in Education/«Advances in Natural, Human-Made, and Coupled Human-Natural Systems Research».«Lecture Notes in Networks and Systems» издательства «Springer Nature» . Germany, 2021.
Abstract Big data analytics in education is considered as the accumulation of cultural, symbolic, and methodological capital. It provides an analysis of institu
tional contradiction between high technological entrepreneurship, academic institu4
tions, and government management. Big data becomes a more attractive field for
educational institutions. However, it is still a resource-intensive subject for research
in contradiction to the opportunities of commercial, scientific organizations that are
technically well equipped. Therefore, an important question arises: who will be a
legitimate source of scientific knowledge and expertise—either academic institu9
tions or commercial organizations. In this context, the key research problem is the
growing influence of technology companies in the field of educational expertise and
the emerging institutional contradictions. The research aims to determine the sphere
towhich the stakeholderswho dictate trends in the application of artificial intelligence
in education in the near future belong. The methodology is within the boundaries of
an analytical review of sources containing a description of trends in the application
of big data and artificial intelligence in education. As a result, the authors generalize
two key institutional contradictions: (1) between science and technology business,
and (2) between the state and business. The analysis of these contradictions allows
us to make a preliminary conclusion that the commercial sector, due to its activity
and technological equipment, will become the main beneficiary of the massive intro
duction of artificial intelligence in education, which in the future may lead to a shift
from the values of current democratic education. Keywords Big data · Artificial intelligence · Political economy · Educational
analysis · Digital educational platforms · Data analytics digital services Commercial education
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https://www.springer.com/gp/book/9783030754822
