Abstract
Nowadays, with increasing competitiveness in every field, securing a good job may be difficult. In this connection, students aiming to get into the best educational institution (EI) would give them their best chance of quality education and good job opportunities. Institutional evaluation and selection are complex tasks that must simultaneously include different aspects and evaluation criteria. This work addresses the EI selection dilemma by formulating a multi-criteria decision-making computational model. This work utilizes the National Institutional Ranking Framework approved by the Ministry of Human Resource Development India to rank higher education institutions in India. The problem was converted into a multi-criteria decision-making (MCDM) model based on the accumulated criteria. This MCDM problem was further solved with the help of the Analytic Hierarchy Process by formulating a multi-criteria decision-making model for EI/university selection. Further, a new technique based on separated criteria benefits and recommendations (SCBR) has been incorporated with AHP, resulting in the advancement of the basic AHP method. The proposed technique allows comprehensibility of the qualitative method while maintaining the precision of the quantitative methodology for institutional selection of undergraduate and postgraduate students. This work is beneficial not only for the students but also for the academic job aspirants for choosing the appropriate institution. The proposed work is also applicable as a tool for assessing the effectiveness of higher education institutions.
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Abbreviations
- AI:
-
Academic institution
- AHP:
-
Analytic Hierarchy Process
- ANP:
-
Analytic network process
- PHSE:
-
Combined % for Placement, Higher Studies, and Entrepreneurship
- PU:
-
Combined metric for Publications
- QP:
-
Combined metric for Quality of Publications
- COMP:
-
Competitiveness
- CI:
-
Consistence index
- ESCS:
-
Economically and Socially Challenged Students
- EI:
-
Educational institution
- ELECTRE:
-
Elimination and choice translating reality
- PCS:
-
Facilities for Physically Challenged Students
- FQE:
-
Faculty with PhD (or equivalent) and Experience
- FSR:
-
Faculty-student ratio
- F:
-
Fee
- FMCDM:
-
Fuzzy logic based multi-criteria decision-making
- GP:
-
Goal programming
- GO:
-
Graduation Outcome
- H:
-
High
- IPR:
-
Intellectual property rights
- IPRP:
-
IPR and Patents
- L:
-
Low
- MS:
-
Median Salary
- M:
-
Medium
- EIE:
-
Metric for EI Examinations
- GSATOP:
-
Metric for Graduating Students Admitted into Top Universities
- PHDG:
-
Metric for Number of Ph.D. Students Graduated
- MHRD:
-
Ministry of Human Resource Development
- MAUT:
-
Multi-attribute utility theory
- MCDM:
-
Multi-criteria decision-making
- NIRF:
-
National Institutional Ranking Framework
- Cn:
-
Nth Criteria
- Sn:
-
Nth Sub-Criteria
- OI:
-
Outreach and Inclusivity
- PPA:
-
Peer Perception: Academics
- PPERI:
-
Peer Perception: Employers and Research Investors
- PSOS:
-
Percent Students from other states/countries
- PW:
-
Percentage of Women
- P:
-
Perception
- PR:
-
Perception
- PROMETHEE:
-
Projects and Professional Practice and Executive Development
- PPPED:
-
Projects and Professional Practice and Executive Development
- PPER:
-
Public Perception
- RI:
-
Random inconsistency
- RD:
-
Region Diversity
- RP:
-
Research and Professional Practice
- RPPCF:
-
Research Professional Practice and Collaborative Performance
- S:
-
Score matrix
- SCBR:
-
Separated criteria benefits and recommendations
- SAW:
-
Simple Additive Weighting
- SS:
-
Student Strength
- TLR:
-
Teaching, Learning and Resources
- TOPSIS:
-
Technique for order preference by similarity to ideal solutions
- TBU:
-
Total Budget and Its Utilization:
- WSM:
-
Weighted sum method
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Ahirwal, M.K., Kumar, P. Educational institutions selection using Analytic Hierarchy Process based on National Institutional Ranking Framework (NIRF) criteria. Interchange 54, 203–227 (2023). https://doi.org/10.1007/s10780-023-09488-6
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DOI: https://doi.org/10.1007/s10780-023-09488-6