intellectual characteristics
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Author(s):  
O.M. Miller ◽  
◽  
E.Yu. Zhurbenko ◽  

Statement of the problem. The article presents an overview of theoretical and experimental studies of personality intellectual features in the adaptation process, and the authors’ views on the influence of personality intellectual features on the success of adaptation. The purpose of the article is to identify intellectual features of university students’ personality, which can largely determine the success of their adaptation to studying at a higher educational institution. Materials and methods. The research methodology is based on the concept of B.G. Ananyev, J. Piaget and other Russian and foreign scientists, according to whom the internal personality features, in particular, intellectual characteristics, mediate its adaptation. The study involved 102 students of the Krasnoyarsk Institute of Railway Transport, both successfully adapted to studying at the higher educational institution, and experiencing difficulties in the process of adaptation. The intellectual features of the students’ personality were diagnosed using the 16Pf Kettell technique. Research results. The study showed that the symptom complex of intellectual features, including factors B, M, N, and Q1 in the factor structure of personality identified by R. Kettell, has differences in students with different levels of adaptation. Thus, it was found that the indicators of factors B and N were significantly higher and the indicators of factors M and Q1 were significantly lower in highly adapted students compared to low-adapted students within the symptom complex of intellectual features (the reliability of differences was determined by the Mann-Whitney U-criterion). Conclusion. Considering the intellectual features of the students’ personality, we relied on the factor structure of R. Kettel personality, according to which the following factors are included in the symptom complex of intellectual features of a person: B (intelligence), M (dreaminess), N (flexibility), Q1 (receptivity to the new). The study showed that the intellectual characteristics of students of different levels of adaptability to studying at a higher educational institution differ from each other by the severity and combination of individual factors included in this symptom complex.


2021 ◽  
Vol 58 (2) ◽  
pp. 1312-1318
Author(s):  
M. Olimova

The article explores the socio-philosophical role of the individual in nature and society, human qualities and intellectual characteristics


2021 ◽  
Vol 1 (7) ◽  
pp. 5-16
Author(s):  
Zhou Xinwu ◽  

Political discourse is a multidimensional linguistic phenomenon. With the constant expansion of political communication, it is becoming more and more important to analyse it. As China's international position is strengthening, political scientists and linguists pay more attention to the speeches of Chinese leaders, especially President Xi Jinping. Accurate and expressive language ensures the effectiveness of a political initiative. An interesting resource of verbal eloquence in a politician's speeches is the use of images popular in the networks communication practices. Alongside the development of Internet technologies, politicians often use certain words and images from Internet discourse, as the scope of using such expressions is constantly expanding, entering economy, diplomacy and culture. This article attempts to analyse the use of the most frequent 'network' words in President Xi Jinping's speeches and to identify the underlying social and political connotations associated with these words. The conclusion is that Xi Jinping makes skilful use of various types of 'network' imagery, adjusting it to the expression of political ideas. This article presents a typology of «network phraseology» in Xi Jinping's speeches, based on the subject matter of the speeches and outlines political, economic, diplomatic and everyday types of «network discourse». The target group for the Chinese President's speeches is extremely numerous and diverse (in terms of ethnic-cultural, age and intellectual characteristics), but it is the «network» imagery resources that help convey important social and political information to a wide variety of people.


2020 ◽  
Vol 34 (4) ◽  
pp. 43-53
Author(s):  
Lilia A. Belozerova ◽  
◽  
Valeria V. Vershinina ◽  
Sergey V. Danilov ◽  
Natalia S. Krivtsova ◽  
...  

The article summarises the preliminary results of a three-stage study of the influence of the socio-cultural context on the life and educational manifestations of modern high school students. Firstly, data on the Russian representatives of «Generation Z» were specified. At the second stage of the research, the manifestations of «Generation Z» representatives, regarding everyday school life were studied. At the third stage of the research, there were analysed different educational learning situations as opportunities for senior students to show the behavioural and intellectual characteristics inherent in the digital generation. The main results of the study make it possible to set new tasks in the study of the socio-cultural context of the educational situation of modern high school students.


2020 ◽  
Vol 2 (9) ◽  
pp. 36-41
Author(s):  
M. M. MARKHAICHUK ◽  

This article is devoted to the analysis of labor productivity growth trends in Russia and in the world, taking into account the influence of the intellectual component of the labor force on it. The concepts of intellectual capital and digital competence are characterized. The intellectual capital of a person is considered in the article as the intellectual characteristics of labor resources that have economic potential. Digital competence in economics is defined as an evaluative characteristic of person’s knowledge, skills and abilities to use digital technology, communications tools, and/or networks in all spheres of life in order to participate more effectively in social and economic processes. The necessary conditions for the growth of labor productivity on the basis of the labor intellectualization are formulated.


Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 193-198
Author(s):  
Abdurahmanova A. T

The “readiness” of learning and learning consists of the intellectual characteristics of a person who is able to concentrate on the mental function that plays a certain role in the success of the material under all equal conditions.


Author(s):  
Kostovski Zharko ◽  
Aleksovska V. Lence ◽  
Iber Alaj

A survey was conducted with two sub-samples of respondents, karate athletes representatives (members of the national team) and karate athletes competitors in the kumite (sports fight). The survey was conducted on a stratified sample of 32 respondents divided into two groups, 16 karate representatives and 16 karate competitors, males, seniors from the Republic of Macedonia. The main purpose of the research is to determine the differences in the psychological characteristics between the two sub-samples of the respondents. In the research, a total of 13 variables for the assessment of psychological characteristics were applied: for estimation of emotional characteristics six (6) variables, three (3) variables for assessment of the motivational dispositions, for assessment of the specific intellectual characteristics (3) three variables and one variable for assessing the general intellectual characteristic. The basic statistical parameters are determined using the basic descriptive statistics for the two groups of respondents separately, while for determining the differences in the arithmetic means of the psychological characteristics, a T-test for small independent samples was applied. From the analysis of the data from the basic descriptive statistical parameters, it was established that in all applied variables, homogeneity of the results as well as normal distribution was obtained, with very small deviations present in two variables. The results of the T - test obtained in the survey show statistically significant differences in the entire analyzed space between the two groups, with the exception of two variables (L - social desire and P - psychoticism), i.e. differences were found in 11 variables from a total of 13 examined variables.


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