Abstract

Introduction. The article addresses the subject of integrative approach applications in tutor support of students during the university education. It presents a detailed description of using the integrative approach as a methodological principle that implies a comprehensive evaluation of students’ personality. The aim of the article is to study the specifics of integrative approach applications in tutor support of university students. Materials and methods. The main methods of the study include analysis of the scientific literature on the topic of integrative approach applications in tutor support of university students, as well as diagnostic methods, such as survey, instrumental methods and statistical methods of data analysis. Results. Typological personality characteristics, such as activity, orientation, structure of motivation and needs, ultimate values and self-regulation, were defined. The authors evaluated the level of neural dynamics and the level of brain energy metabolism (BEM), which resulted to be sig-nificantly different in students with different educational and professional orientation. Discussion. It is pointed out that the integrative approach allows evaluating individual-typological personality traits and stating that people that are oriented at nonregulated activity should be included in tutor support during their professional education. Conclusion. The results of the study allow concluding that the models of tutor support of students might be different according to the students’ educational and professional orientation.

Highlights

  • The abundance of surveys devoted to the study of the price process in the stock market involuntarily suggests that modern finance theory is extremely multifaceted and, without forming a single completed paradigm, is essentially disputable

  • We present the technique of non-harmonic expansion of the time series by trends, considering the adaptive nature of the stock market functioning mechanism

  • We proposed to consider the allocation of three basis trends that reflect long, medium and short-term patterns

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Summary

Introduction

The abundance of surveys devoted to the study of the price process in the stock market involuntarily suggests that modern finance theory is extremely multifaceted and, without forming a single completed paradigm, is essentially disputable. Investigating the problem of predictability of the market over long time intervals, he found that extending the forecast horizon to several years makes the market processes more predictable, and in their implementation, the effects of "return to the average" are observed. He drew attention to the possible psychological origins of such price fluctuations, are the irrational behavior of investors. Stock market returns over short periods of time are most dependent on the trends of the last moments of time This leads to the preference to use the principles of adaptation in obtaining short-term forecasts. We present the technique of non-harmonic expansion of the time series by trends, considering the adaptive nature of the stock market functioning mechanism

Basic Assumptions
Adaptive Decomposition Model of Multi-trend Processes
X C 1
Conclusion
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