Authors:
Florentin Popescu
1
;
Roman Iskandaryan
2
and
Tijmen Weber
1
Affiliations:
1
HAN University of Applied Sciences, Ruitenberglaan 31, 6826 CC, Arnhem and The Netherlands
;
2
Plekhanov Russian University of Economics, Stremyannyy Pereulok, 36, Moscow and Russia
Keyword(s):
Big Data, International Accreditation, Quality of Higher Education, University Global Competitiveness.
Related
Ontology
Subjects/Areas/Topics:
Case Studies
;
Health Engineering and Technology Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Simulation and Modeling
;
Simulation Tools and Platforms
Abstract:
This comparative study paper seeks to document how with the help of Big Data different aspects of International Accreditations are perceived by both Plekhanov Russian University of Economics and HAN University of Applied Sciences (Arnhem Business School), the Netherlands faculty and higher management. This paper is looking at bringing advice and helping the chosen universities with their international accreditations processes by demonstrating the importance of Big Data. The importance of Big Data and International Accreditations to both universities will be accounted for in this paper. In comparison to current research on Big Data in higher education, this work focuses on the goal of preparing the universities for future academic international accreditations. It is a comparative study where is meant to learn from best practices rather than to generalize and extrapolate results. On a conceptual way, this paper contributes to knowledge by attempting to develop a strategic planning of t
he international accreditations process by determining the best practices using Big Data while creating a process for internationalization to increase the universities’ global competitiveness.
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