Big Data and International Accreditations in Higher Education: A Dutch - Russian Case Study

Florentin Popescu, Roman Iskandaryan, Tijmen Weber

2019

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 the international accreditations process by determining the best practices using Big Data while creating a process for internationalization to increase the universities’ global competitiveness.

Paper Citation

in Harvard Style

Popescu F., Iskandaryan R. and Weber T. (2019). Big Data and International Accreditations in Higher Education: A Dutch - Russian Case Study.In Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-369-8, pages 207-214. DOI: 10.5220/0007572102070214

in Bibtex Style

@conference{iotbds19,
author={Florentin Popescu and Roman Iskandaryan and Tijmen Weber},
title={Big Data and International Accreditations in Higher Education: A Dutch - Russian Case Study},
booktitle={Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2019},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007572102070214},
isbn={978-989-758-369-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Big Data and International Accreditations in Higher Education: A Dutch - Russian Case Study
SN - 978-989-758-369-8
AU - Popescu F.
AU - Iskandaryan R.
AU - Weber T.
PY - 2019
SP - 207
EP - 214
DO - 10.5220/0007572102070214