Big Data Analytics and a Multidimensional Evaluation Method for Improving the Performance of HEIs

Abstract

In order for the Higher Education Institutions in the world to work effectively they have collected data, and been developing Multi-dimensional Evaluation method and several indicators through many internal mechanisms for the purpose of improving the performance of institutions, achieving the goal of internal accountability over their activities, identifying effective teaching and learning practices, strengthening the research activities and outcomes, and developing the institutional environment; at the same time they are achieving the above requirements of accountability, quality and transparency.

In this paper extensive data is collected, and multidimensional evaluation methods will be proposed to assess the current status of the administrative, educational, and research systems of any Higher Education Institution; and a non-profit university will be taken as a case study (University of Nizwa, Oman) to apply and assess the classes of indicator.

The data for this research was collected through a random sample of 304 academic staff. The results of dimensional evaluation/ indicators of the academic staff will be given and analyzed in this paper. It may be mentioned here, the survey contains 22 dimensions and 156 indicators. In addition, the statistical analysis of this paper is accurate, comprehensive, and describes the evaluation of all the dimensions and indicators.