Abstract
In the conditions of extremely dangerous human life (COVID-19 pandemic, martial law, etc.) the urgent tasks of science and education are the preservation of values, the creation of E-communications for adaptive and comprehensive support of scientists.
The goal of the research is to intensify the problems of information analytics in the system of scientific staff training (SST) and to develop a methodology for building an information-analytical system (IAS), which will ensure the integrity of the process of intellectual potential formation. This is aimed at the rationality of the IAS, in particular, its component – E-Portfolio. This will make it possible to convert the accumulated information into electronic form and facilitate the transition to the creation of fundamentally new types of information resources. They can be combined into digital collections, which in the projection of the educational space become a system complex of digital scientific and educational resources – part of the IAS.
When force-majeure makes radical changes in the education system and causes a certain failure in all spheres of scientific activity, the E-Portfolio itself becomes a reasonable and well-reasoned decision. Its development as an open component of the IAS for SST is using methods of adequate definition of structure based on of systematic, competency, transdisciplinary and diagnostic approaches. The components of the structure are combined into meaningful blocks based – on conceptual, organizational, socio-psychological, and diagnostic. This allows for establishing transdisciplinary relationships between researchers in different fields of science.
Thus E-Portfolio is an effective IAS-tool for distance SST and also helps with the adaptive performance of scientific tasks.
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Rostoka, M., Cherevychnyi, G., Kuzmenko, O. (2023). E-Portfolio as a Component of the Information and Analytical System of Scientific Staff Training. In: Auer, M.E., Pachatz, W., Rüütmann, T. (eds) Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-031-26190-9_55
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DOI: https://doi.org/10.1007/978-3-031-26190-9_55
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