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Mathematical and Statistical Methods of Analyzing the Successful Implementation of German-Ukrainian Projects
Abstract
The extraordinary dynamism, complexity and ever-increasing interdependence of all transformation processes in the modern world in the face of crisis conditions necessitates strengthening partnerships and coordination of actions at the national, regional and international levels to ensure the quality and sustainability of higher education systems around the world. The research focuses on the successful practical implementation of German-Ukrainian projects of the Anhalt University of Applied Sciences, such as Digin.Net, Digin.Net 2, Study Visits, DigiJED, DigiJED 2, GLSs and Idea-East Hub. Based on the mathematical and statistical methods of analysis, a regression model was built to predict the attraction of funding for the development of education in Ukraine. A meta-analysis of existing practical projects and their financial plans was conducted, considering the definition of specific criteria for successful selection among competitors. Using factor analysis of quantitative and qualitative assessment of the indicators of implemented projects, the authors' model of criteria for successful selection of projects in DAAD was created.
Keywords
German-Ukrainian Projects
DAAD
Regression Analysis
Factor Analysis
Digin.Net
DigiJED
Idea-East Hub.
References
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Proceedings of the International Conference on Applied Innovations in IT
by
Anhalt University of Applied Sciences
is licensed under
CC BY-SA 4.0
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This work is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License
All works are licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0), unless otherwise noted.
Published by ICAIIT in cooperation with Anhalt University of Applied Sciences.