Proceedings of International Conference on Applied Innovation in IT
2023/03/09, Volume 11, Issue 1, pp.151-159

Mathematical and Statistical Methods of Analyzing the Successful Implementation of German-Ukrainian Projects


Cornelia Scott and Oksana Vasylenko


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.

DOI: 10.25673/101931

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DOI: http://dx.doi.org/10.25673/115729


        

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