- Kuzmenko, Olha (orcid.org/0000-0003-4514-3032), Rostoka, Marina Lvovna (orcid.org/0000-0002-1891-5482), Cherevychnyi, Gennadii Semenovich (orcid.org/0000-0001-9094-8732) and Zybin, Serhii Viktorovich (orcid.org/0000-0002-2670-2823) (2022) Modelling of ECO-Environment of Information-analytical System for Training of Scientific Personnel Based on E-Learning In: INTED2022 Proceedings. 16th International Technology, Education and Development Conference March 7th-8th, 2022. . IATED Academy, с. Valencia, Spain, pp. 5623-5633. ISBN 978-84-09-37758-9
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Abstract
Improving the quality of education is a global trend of providing opportunities for self-improvement and self-realization for the individual and thus forming the intellectual potential of human communities.In this sense, among the main areas of priority are the introduction of effective modern technologies and the latest advances in scientific and methodological support of the educational process; integration of education and science, psychological and pedagogical support based on advanced world experience. Thus, the training of highly qualified scientific personnel using the ECO-environment of the information-analytical system (hereinafter – In-ECO IAS), using e-learning will ensure their effective activity in various subject areas (technical, engineering, etc.), and therefore is relevant for solving complex problems in professionals in the field of conducting independent research in higher education institutions. The purpose of the research is to substantiate the theoretical and practical aspects of modelling the In-ECO IAS of scientific training using e-learning technologies and develop methods for its implementation in the educational process taking into account current trends in Industry 4.0. (STEM-education, elements of artificial intelligence, 3D-modelling, robotic systems, etc.) employing modelling programs. The object of research is the process of modelling the In-ECO IAS of scientific training based on e-learning. The subject of the research is models, methods and software of In-ECO IAS of scientific personnel training in the context of e-learning. The concept of the research is the formation and development of hard and soft skills in future researchers in the educational process of higher education institutions to model the In-ECO IAS on the basis of e-learning, which is required to obtain certain indicators of their training in professional science. To achieve this purpose and concept, the following research methods were used: methods of systematic and comparative analysis to substantiate the relevance and formulation of the scientific problem; methods of mathematical statistics: mathematical processing of experimental results to substantiate and apply the result of modelling the In-ECO IAS on the basis of e-learning (obtained by research model); expert evaluation of the proposed system of ECO-environment for the training of scientific personnel and means of its implementation on the basis of e-learning. The reliability and validity of the research results are ensured by the compliance of the main provisions with the leading directions and the level of development of innovative trends in modelling the In-ECO IAS; confirmed by positive results of the scientific and pedagogical experiment, completeness and statistical significance of empirical material, thorough analysis, active discussion of the results in a wide range of participants in scientific and practical activities using innovative technologies, and testing methods of teaching academic disciplines on the basis of e-learning. The total number of participants in the experimental study is 327 respondents (of whom 157 – control groups and 170 – experimental). The authors emphasize the need to introduce e-learning in the In-ECO IAS using modelling programs, which allows to obtain analytical data on the activities of future scientists and make adequate decisions to improve the research process. The role of teachers who train scientific personnel at a certain stage of the educational process is also actualized, which is partially reduced in the direct implementation of elearning, u-learning, but their function in developing the necessary electronic educational and methodological support is growing.
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