Page 231 - Invited Paper Session (IPS) - Volume 1

IPS146 Motoryn R. et al.
- data on the interaction of students with electronic learning systems
(electronic textbooks, online courses);
- data on the effectiveness of educational materials;
- administrative data;
- forecast data.
For structuring the management processes of Big Data in education five
interrelated groups of
processes can be allocated (fig. 1):
1) definition of the purpose and objectives of study;
2) selection of information sources, data acquisition procedures, information
processing algorithms;
3) organization of data collection into single database;
4) analysis of the data, the formulation of ways to present the results;
5) development of practical regulatory measures.

Definition of the purpose and objectives of study

Selection of information sources, data acquisition procedures,
information processing
algorithms

Organization of data collection into single database

Analysis of the data, the formulation of ways to present the results

Development of practical regulatory measures

Fig.1. The sequence of the Big Data management process in higher education

How to evaluate the effectiveness of higher education? This requires a
methodology for assessing its quality.
For each student, lecturer, education institution management - the
assessment of the effectiveness of education is made up of different factors,

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