Principles for Constructing the Architecture of Information Ecosystems In Education
Information ecosystems are the basis of the development of modern economy and business. The peculiarities of their use are the use of contemporary information technologies and management rules according to the concept of Management 4.0. The results of research, development and implementation of information ecosystems and their development in education allowed the authors to highlight the main principles of architecture construction and to determine the indicators of ensuring the quality of functioning of the information ecosystem in education. A detailed analysis of each principle makes it possible to form general architectural models. These models can be used to create and introduce an information ecosystem for other educational institutions. The main principles of the information ecosystem in education are determined. Among them - are systematicity, modularity, scalability, multiple use of information, minimization of duplication of data and information in different forms, adequate storage of information and knowledge, and role focus on user and human-machine interaction. The considered scenarios of the implementation of the specified principles and the formation of mathematical models for assessing the completeness of their implementation allow us to evaluate the level of development of the information ecosystem.The evolution of versions of information systems at the university, from the automation of information processes to the implementation of complex technical and management solutions, made it possible to more accurately form service modules and assess the level of coverage of information processes by the ecosystem. The electronic university information systems introduced by the authors in various educational institutions confirm the adequacy of the proposed models.
Authors
- Yevhen Palamarchuk (ORCID: https://orcid.org/0000-0002-7443-099X)
- Олена Коваленко (ORCID: https://orcid.org/0000-0003-2864-9058)
Institutions
- Vinnytsia National Technical University (UA)
Publication Details
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1109/acit62333.2024.10712479
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00