| Issue |
SHS Web Conf.
Volume 104, 2021
Second International Conference on History, Theory and Methodology of Learning (ICHTML 2021)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 6 | |
| Section | Learning Theories | |
| DOI | https://doi.org/10.1051/shsconf/202110402007 | |
| Published online | 04 May 2021 | |
The principle of “incomplete comprehension of object” in the context of the discourse of uncertainties in a digital society
1 Zhytomyr Ivan Franko State University, 40 Velyka Berdychivska Str., Zhytomyr 10008, Ukraine
2 University of Zielona Góra, 9 Licealna Str., 65-417 Zielona Góra, Poland
* e-mail: polishchuk.o.p.2015@gmail.com
** e-mail: miller-melnik@ukr.net
*** e-mail: irenevik@i.ua
**** e-mail: r.sapenko@ifiluz.zgora.pl
† e-mail: bwtrocha@gmail.com
The article deals with the analysis of situations of uncertainty in various spheres of modern society life that have arisen as a result of the rapid development of digital technologies; virtualization of many components of modern human life; the increasing role of visual information in communication; drastic changes in the labor market, in intellectual practices and the formation of new requirements for the education and vocational training system. We have proposed to analyze such situations using the principle of “incomplete comprehension of object”, and we carried out a consideration of its content and indicated its methodological role. To our mind, one of the most important features of this principle is the focus on a set of ambiguous, non-obvious links between the internal elements of an object, as well as during its interactions with agents of external influence in a situation of uncertainty. Besides, we examined its heuristic and predictive capabilities using examples of analysis of specific typical situations in various spheres of social life, primarily related to the labor market and education in a digital culture.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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