Tyshchenko S. I., Candidate of Pedagogical Sciences, Associate Professor of the Department of Economic Cybernetics and Mathematical Modeling, Mykolayiv National Agrarian University, Mykolayiv, Ukraine

ORCID ID: 0000-0001-7881-8740
e-mail: tyschenko@mnau.edu.ua

Univariate Analysis of Variance as a Method of Solving Professional Pedagogical Tasks in Higher Education

Abstract. Introduction. The new challenges facing the world community in the context of post-industrial development bring to the fore the problems of human capital development. Thus, education plays a key role in ensuring the social and economic well-being of each individual, each country and the world community as a whole. In our opinion, the achievement of this goal will be possible in the case of skillful application of modern didactic methods, not simple exercises, but real pedagogical tasks – tasks of a high level of complexity by lecturers. Professional pedagogical activity is defined as a constant process of solving pedagogical problems, so lecturers should pay considerable attention to the technology of their solution.

Purpose. The purpose of this publication is to reveal and clarify the meaning of the term “professional pedagogical task” in the context of the method of its solution in higher education establishment.

Results. The article presents, using a practical example, the method of using one-factor variance analysis in solving professional problems of higher school teachers, in particular, identifying the main factors influencing the success of students in higher education institutions. The main purpose of variance analysis is to statistically reveal the influence of various factors on the variability of the characteristic being studied. Of particular interest is the use of the method in the analysis of economic processes and phenomena, when the variability of the resulting characteristic is caused by the simultaneous action of several factors with unequal influence. In particular, this is observed when analyzing the effective synthetic indicators of the economic efficiency of production.

Conclusions. Our research material makes it possible to justify the choice of univariate analysis of variance for its application in solving professional pedagogical problems of teachers in higher educational institutions. The results of data processing using analysis of variance give a quantitative or qualitative assessment of research, which, in turn, increases the efficiency of the educational process, improving it.

Keywords: univariate analysis of variance; professional pedagogical problem; data processing; higher education.

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