Informatics in Education logo


Login Register

  1. Home
  2. Issues
  3. Volume 14, Issue 1 (2015)
  4. Performance Evaluation of Indian Technic ...

Informatics in Education

INFORMATION Submit your article Help
  • Article info
  • More
    Article info

Performance Evaluation of Indian Technical Institutions Using PROMETHEE-GAIA Approach
Volume 14, Issue 1 (2015), pp. 103–125
Rajeev RANJAN   Shankar CHAKRABORTY  

Authors

 
Placeholder
https://doi.org/10.15388/infedu.2015.07
Pub. online: 13 April 2015      Type: Article     

Published
13 April 2015

Abstract

It has now become an important issue to evaluate the performance of technical institutions to develop better research and enrich the existing teaching processes. The results of such performance appraisal would serve as a reference point for decisions to choose a particular institution, hire manpower, and provide financial support for the betterment of students and underperforming institutions. The performance of institutions responsible for promotion of technical education in a vast country, like India also needs to be assessed for its journey to share a major role in global economy. In this paper, an integrated approach combining PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) and GAIA (Geometrical Analysis for Interactive Aid) methods is applied for evaluating the performance of 20 National Institutes of Technology (NITs) in India with respect to nine pivotal criteria. It is observed that NIT, Tiruchirappalli and NIT, Warangal are the two best performers based on the last five years data. On the other hand, NIT, Patna takes the last position in the ranking list of 20 NITs suggesting allocation of more resources for its efficient management and subsequent development. Placement of the graduated students from those NITs is found to be the most important criterion.

PDF XML
PDF XML

Copyright
No copyright data available.

Keywords
technical institution NIT PROMETHEE GAIA Shannon's entropy method

Metrics
since February 2020
1330

Article info
views

0

Full article
views

710

PDF
downloads

267

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICS IN EDUCATION

  • Online ISSN: 2335-8971
  • Print ISSN: 1648-5831
  • Copyright © 2024 Vilnius University
  •  

For contributors

  • Submit
  • OA Policy

Contact us

  • Institute of Data Science and Digital Technologies,
  • Vilnius University, Akademijos St. 4, 08412, Vilnius, Lithuania
  • E-mail: gabriele.stupuriene@mif.vu.lt
Powered by PubliMill  •  Privacy policy