- Rostoka, Marina Lvovna (orcid.org/0000-0002-1891-5482), Cherevychnyi, Gennadii Semenovich (orcid.org/0000-0001-9094-8732), Banit, Olga (orcid.org/0000-0001-9002-6439), Pyzhyk, Andrii Mykolayovych (orcid.org/0000-0002-1223-124X) and Godetska, Tatiana (orcid.org/0000-0003-0550-1894) (2025) Ecoenvironment of the System of Information and Analytical Support for the training of Scientific and Pedagogical Staff Lecture Notes in Networks and Systems (1261). pp. 46-57. ISSN 2367-3370
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Abstract
Challenges that create opportunities arise with the growth of technological influence and globalization. This points to the need for innovation to achieve the strategic goals of higher education . It is becoming important to create and develop a transdisciplinary ecoenvironment for training scientific and pedagogical staff that meets the technological, social and environmental challenges of the 21st century. This makes it possible to acquire cross-cutting competencies by future specialists, whose training should be carried out by competently trained scientific and pedagogical staff in higher education institutions. The purpose of the study is to rethink the methodological approaches of the transdisciplinary ecosystem, as well as to present the structure and practical significance of information and analytical support for the digital transformation of scientific and pedagogical staff training. The transdisciplinary approach as a new paradigm of thinking and an adequate concept of formation and development, in particular of educational ecosystems, is the main methodology of the modern postmodern scientific and educational space. The transdisciplinary nature of information and analytical support for the training of scientific and pedagogical staff in the context of digital transformation will include: educational analytics on adaptive management; information analytics on adaptive policy, social and organizational analytics on human infrastructure. In this way, Industry 4.0 closely interacts with Education 4.0. This is possible through the convergence of scientific approaches – transdisciplinary, competence, adaptive, acmeological, ontological. The transdisciplinary ecosystem of information and analytical support for the digital transformation of teaching staff training is dynamic and open to convergence.
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