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Educational institutions selection using Analytic Hierarchy Process based on National Institutional Ranking Framework (NIRF) criteria

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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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Correspondence to Prabhat Kumar.

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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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