In this article we have examined main theoretical approaches to time-management and practice of its development in education. Authors have demonstrated the need to focusing on theory and practice of time-management in Russia considering quickly-changing processes in the world and deficit of time. The various methodologies of time-management including tools, technics and methods were analyzed. Authors have showed stages of practical appliance of self-management. We have presented results of research about the role of student in time-management to improve the efficiency of educational process. The data, fixing amount of time that students spend on accomplishing different tasks, personal records, time of rest, analyzing statistical data were collecting by using timing. Analysis let us to define the structure of student`s life to expose priorities, the most important, effortful and time-consuming tasks (using the tool of pair comparison). Pair comparison made it possible to compare and follow the way of changes in the structure of time management of students, based on instructive conclusions from the analysis of the first week of studies. Using polls we exposed the opinions of students about their health, dynamics of changes, negatively impacting factors etc. During research we have found the ways student waste their time, we have designed methods to overcome procrastination, we have developed ways to study using personal syllabus, video projects. Using the results of the poll we have formulated basic principles of introduction of time-management into student's life which are goal-setting, defining of priorities, timeliness, verification, balance. Keywords: time-management, methods of using of time, self-management, tool of timekeeping, timing, technique the matrix of Eisenhower, ABC-analysis, students time-management, sources of procrastination, traps of time, time reserves www.ccsenet.org/ass
Abstract: The article describes the nature of the use of natural and artificial intelligence in the talent management system in the Moscow Region. The extent of using talent management technology, the tools, the ratio of demand for natural and artificial intelligence in talent management, and the level of employee confidence in man (robot) in management are analyzed. It is revealed and substantiated that personnel management services and the management of companies do not effectively use natural intelligence in the framework of the talent management system, relying on chance and a typical approach. Ambiguity in the assessment of artificial intelligence by both employees and company management was revealed. Increased use and fears of the negative impact of artificial intelligence become opposing factors in talent management. It is proposed to quickly implement advanced technologies based on artificial intelligence, with no harm to the human and his potential. It is also proposed to constantly keep in focus the risks of intercepting initiatives in the management of artificial intelligence and the crowding out of a person from the labor market. The main advantage of the article is an integrated approach to the study of the pattern of using natural and artificial intelligence in the talent management system. The authors considered the issue of identifying the ratio of artificial and natural intelligence in talent management for the first time. The results can serve as a basis for further research in the system of human resource management, as well as good support for making management decisions in the implementation of artificial intelligence in business processes and organization management.
The transition from a semi-digital to digital society depends on the nature of work with information, and the speed and quality of digitalization largely depend on Generation Z. The purpose of the article is to identify and evaluate Gen Z’s views in Russia and Slovakia on the search and assessment of information in a semi-digital society. The empirical research methods are a questionnaire survey, in-depth interviews, and a focus group. In the context of the COVID-19 pandemic, they were conducted remotely. The study reveals that the views of the Slovak and Russian Generation Z are similar in terms of searching and speeding up the acquisition of information and especially in the high assessment of their capabilities in information search and low confidence in advertising campaigns. The Slovak Gen Z is informationally mature and, at the same time, Internet-dependent. A difference in the perception of AI in Russian and Slovak Gen Z is identified. The results can be used to improve youth policies and provide information to society in the transition to fully digital life.
In recent years, the number of online courses known as massive open online courses (MOOC) has increased significantly. Such courses are available on online providers’ sites, such as edX and Coursera. As a result, there is a notable reduction of clarity in terms of various course offerings, and this causes a need to change the MOOC description schemes to help inform potential applicants. The article is aimed at identifying the capabilities of customer-oriented MOOC aggregators and the prospects for their further improvement. The article presents approaches to the concept of customer focus, based on which the definition of a customer-oriented aggregator is formulated. The article analyses course descriptions used by MOOC providers and aggregators for their potential students. Based on this analysis, the authors develop a set of categories describing MOOC, used for the creation of a new MOOC description according to the customer-oriented criteria. The authors conclude that the optimal descriptive MOOC scheme on the MOOC aggregator should satisfy both the academic environment and the customer-oriented criteria that correspond to students’ interests when choosing a MOOC.
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