Page 233 - Invited Paper Session (IPS) - Volume 1

IPS146 Motoryn R. et al.
Therefore, only the stage of data collection, integration of services (and
often - their development from scratch) and all relational and non-leverage
databases requires a large amount of time and, moreover, is continuous,
because when a single result appears, a request for new developments
immediately arrives.

3. Result
Let us give an example of the Big Data management process in higher
education on the example of the Kiev National University of Trade and
Economics (KNTEU).
1. Purpose - expert and analytical assessment of the human resources of
KNTEU.
Tasks:
- identify the age characteristics of lecturers;
- determine the presence of objective vacancies or oversaturation of lecturers;
- assess the qualifications of existing lecturers.
2. Selection of information sources, data acquisition procedures, information-
processing algorithms:
Selection of information sources:
- annex 1. Regulation of KNTEU "Rating assessment of the activity of
educational research of employees of the university"
- the annual form of statistical observation 2-3NK "Report of the university at
the beginning of the 2018-19 academic year";
- questionnaire form of student evaluation of lecturers.
The procedure for obtaining data:
- the selection of the necessary information contained in the Annex 1.
Regulation of KNTEU "Rating assessment of the activity of educational
research of employees of the university"
- selection of the necessary information contained in the form of statistical
observation 2-3NK;
- conducting a questionnaire of student in the form developed by KNTEU.
Algorithm of data processing.
The analysis of existing personnel problems conducted in the context of
the subject taught. The questionnaire of lecturer’s assessment by students
contained detailed information about lecturers.
According to the results of the study of the age structure, we construct
the distribution of lecturers by age compared to the normal distribution.
Normal distribution contributes to the stable functioning of the higher
education system while maintaining a balance between the possibility of
development and the preservation of tradition.
3. Collection and structuring of data

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