Despair or the loss of selfhood in Kierkegaard’s Sickness unto Death

Rubio, Gabriel Leiva; Lešková, Andrea; Prokopyev, Alexey I.; Miroshkin, Dmitriy V.; Kamneva, Elena V.

doi:10.18355/xl.2020.13.03.07

Cited by 7 publications

(7 citation statements)

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“…The main vector of the research presented here is aimed to predict the real behaviour of a person through the features of his virtual activity in social networks (Hiranyachattada & Kusirirat, 2020;Khandelwal, & Gotlieb, 2021;Levina et al, 2019;Minakhmetova et al, 2017;Orekhovskaya et al, 2019;Owan et al, 2020;Piralova et al, 2020;Razumovskaya et al, 2018;Rubio et al, 2020;Yusupov, 2019). The markers are the metrics of the personal profile of a social network's user.…”

Section: Introductionmentioning

confidence: 99%

A Complex Neural Network Model for Predicting a Personal Success based on their Activity in Social Networks

Gafarov

Nikolaev

Ustin

et al. 2021

EURASIA J Math Sci Tech Ed

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The development and improvement of effective tools for predicting human behavior in real life through the features of its virtual activity opens up broad prospects for psychological support of the individual. The presence of such tools can be used by psychologists in educational, professional and other areas in the formation of trajectories of harmonious person's development.Currently, active research is underway to determine psychological characteristics based on publicly available data. Such studies develop the direction of "Psychology of social networks". As markers for determining the psychological characteristics of people, various parameters obtained from their personal pages in social networks are used (texts of posts and reposts, the number of different elements on the page, statistical information about audio and video recordings, information about groups, and others). There is a difficulty in obtaining and analyzing a data set this big, as there are non-linear and hidden relationships between individual data elements. As a result, the classic methods of information processing become inefficient. Therefore, in our work to develop a comprehensive model of success based on the analysis of qualitative and quantitative data, we use an approach based on artificial neural networks. The labels of the input records are used to divide the subjects of the study into five clusters using clustering methods (kmeans). In the course of our work, we gradually expand the set of input parameters to include metrics of users' personal pages, and compare the results to determine the impact of qualitative parameters on the accuracy of the artificial neural network. The results reflect the solution of one of the tasks of the research carried out within the framework of the project of the Russian Science Foundation and serve as material for an information and analytical system for automatic forecasting of human life activity based on the metrics of his personal profile in the social network VKontakte.

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Section: Introductionmentioning

confidence: 99%

A Complex Neural Network Model for Predicting a Personal Success based on their Activity in Social Networks

Gafarov

Nikolaev

Ustin

et al. 2021

EURASIA J Math Sci Tech Ed

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“…In this regard, the most frequently mentioned and pressing issue of online courses is the high dropout rate (Chen & Jang, 2010). Other important issues are related to the adoption and application of the educational information system (Kennedy, 2014) and the level of self-regulation required in order effectively to engage in online learning (Bayanova et al, 2020;Buhr, Daniels, & Goegan, 2019;de Barba, Kennedy, & Ainley, 2016;Irtuganova, 2018;Karkina, Mena Marcos, & Valeeva, 2021;Minakhmetova et al, 2017;Razumovskaya et al, 2019;Rubio et al, 2020;Tugun et al, 2020). Taken together, these issues suggest the importance of learners' motivation in the adoption and continuing usage of digital technologies for educational purposes.…”

Section: Introductionmentioning

confidence: 99%

Adult Learners’ Responses to Online Learning: A Qualitative Analysis Grounded in Self-determination Theory

Salikhova

Lynch

Salikhova

2021

EURASIA J Math Sci Tech Ed

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At a time when educators in many countries are adopting digital technology in their classrooms, whether by choice or mandate, the question of what the experience of online learning is like for students remains open and of vital interest. In the present study, adult learners (N = 37) in Russia were asked to write an essay about their experience of an online course they had taken as part of their graduate studies. Responses were examined by means of thematic analysis. From the conceptual framework of self-determination theory, responses were categorized with respect to psychological needs for autonomy, competence, and relatedness. Adult learners reported their online courses provided the greatest opportunities to satisfy the need for autonomy, with ample support for competence as well; however, they struggled in their online courses to find satisfaction for the relatedness need. The present study identified those elements of online courses that correspond with and facilitate the satisfaction of each of the three basic psychological needs.

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“…Technological changes are growing exponentially and expanding the boundaries of socio-economic spheres of their influence. The rapid development of digital initiatives requires the solution to new challenges in response to global challenges and risks (Rubio, Leskova, Prokopyev, Miroshkin & Kamneva, 2020). The key success factor in the digital economy should not be technology as such, but new models of the strategic planning system.…”

Section: Introductionmentioning

confidence: 99%

Specific features of value orientations among the student youth in the context of digital transformation of the education system

Khammatova

Gribkova

Tkhugo

et al. 2021

WJET

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The importance of the paper is determined by the fact that the development of digital technologies is currently one of the main priorities of any country, both at the highest political level and at the federal and regional ones. The introduction of digital initiatives into the education system leads to their reforming, which has a direct influence on all subjects of the educational process. The goal of the study was to investigate the characteristics of the value orientations of student youth in the context of the digital transformation of the higher education institution. The research methods comprised theoretical and methodological analyses of the problem, empirical research methods (testing, interviewing and a survey), an educational experiment and methods of mathematical statistics. The results of the study include a description of the value framework structure of the personality of student youth (values and meanings) in the era of digital transformation. In addition, as a result of the study, the authors of the paper designed and tested a programme of additional education for students, aimed at developing the value orientations of the ‘digital personality’. The materials of the paper can be useful for the introduction into the educational process in the system of higher and secondary vocational education. Keywords: Value orientations, student youth, global risks and challenges, information and educational environment of a higher education institution, digital transformation of society.

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Despair or the loss of selfhood in Kierkegaard’s Sickness unto Death

Cited by 7 publications

References 0 publications

A Complex Neural Network Model for Predicting a Personal Success based on their Activity in Social Networks

A Complex Neural Network Model for Predicting a Personal Success based on their Activity in Social Networks

Adult Learners’ Responses to Online Learning: A Qualitative Analysis Grounded in Self-determination Theory

Specific features of value orientations among the student youth in the context of digital transformation of the education system

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