Volume XLII-5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 1-8, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 1-8, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Nov 2018

19 Nov 2018

ACADEMIC WEB TOOL FOR WEIGHTAGE DETERMINATION OF RANKING PARAMETERS

K. Abhishek1, P. Suchit1, G. Savita2, S. Kalgi1, and K. S. Beena2 K. Abhishek et al.
  • 1INFLIBNET Centre, Gandhinagar, Gujarat, India
  • 2Dept. of Computer Science, Gujarat University, Gujarat, India

Keywords: Higher Education, Ranking Systems, Ranking Parameters, University, Parameters Weightage, NIRF

Abstract. Indian education system, third largest of education system in the world comprises of Universities, Colleges, Technical institutions, Institutions of National importance etc. Choosing the right institution for academic activity is always a challenging job. In this context, ranking of Universities play a big role in shaping opinions of current potential students, parents, employers and government about the quality of educational institutions. National Institutional Ranking Framework (NIRF), an initiative of MHRD is the ranking system of India to rank all institutions of higher education in India. The current framework of NIRF works on approved set of parameters and assigned weightage. We propose a user defined framework with our own set of parameters based on survey of national and international ranking system. Weightages are calculated (algorithm based) dynamically by registering the preferences of different stakeholders. A web-portal was developed to capture the responses of different stakeholders, calculate weightages and can be used to assign ranking to the universities on the basis of end-user preferences. The portal was tested by registering responses of school students, colleges students, faculties of universities and parents and calculating the weightages for each parameter run time. This paper presents our methodology ,results of data analytics of survey and performance of our algorithm in evaluating the weightages, importance of parameters and perception of stakeholders of institutes at various levels.