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Educational Institutions Selection Using Analytic Hierarchy Process Based on National Institutional Ranking Framework (NIRF) Criteria

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Title: Educational Institutions Selection Using Analytic Hierarchy Process Based on National Institutional Ranking Framework (NIRF) Criteria
Language: English
Authors: Ahirwal, Mitul Kumar, Kumar, Prabhat (ORCID 0000-0002-2062-1504)
Source: Interchange: A Quarterly Review of Education. Jun 2023 54(2):203-227.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 25
Publication Date: 2023
Document Type: Journal Articles
Reports - Descriptive
Education Level: Higher Education
Postsecondary Education
Descriptors: Foreign Countries, College Choice, Selection Criteria, Decision Making, Computation, Models, Institutional Characteristics, Achievement Rating, Universities, College Students, Admission Criteria, Evaluation Criteria
Geographic Terms: India
DOI: 10.1007/s10780-023-09488-6
ISSN: 0826-4805
1573-1790
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.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1378056
Database: ERIC
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  Data: Educational Institutions Selection Using Analytic Hierarchy Process Based on National Institutional Ranking Framework (NIRF) Criteria
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  Data: <searchLink fieldCode="AR" term="%22Ahirwal%2C+Mitul+Kumar%22">Ahirwal, Mitul Kumar</searchLink><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Prabhat%22">Kumar, Prabhat</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-2062-1504">0000-0002-2062-1504</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Interchange%3A+A+Quarterly+Review+of+Education%22"><i>Interchange: A Quarterly Review of Education</i></searchLink>. Jun 2023 54(2):203-227.
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  Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
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  Data: Y
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  Data: 25
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  Data: 2023
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  Data: Journal Articles<br />Reports - Descriptive
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22College+Choice%22">College Choice</searchLink><br /><searchLink fieldCode="DE" term="%22Selection+Criteria%22">Selection Criteria</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+Making%22">Decision Making</searchLink><br /><searchLink fieldCode="DE" term="%22Computation%22">Computation</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Institutional+Characteristics%22">Institutional Characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22Achievement+Rating%22">Achievement Rating</searchLink><br /><searchLink fieldCode="DE" term="%22Universities%22">Universities</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Admission+Criteria%22">Admission Criteria</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+Criteria%22">Evaluation Criteria</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink>
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  Data: 10.1007/s10780-023-09488-6
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  Data: 0826-4805<br />1573-1790
– Name: Abstract
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  Data: 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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      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: College Choice
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      – SubjectFull: Selection Criteria
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      – SubjectFull: Decision Making
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      – SubjectFull: Computation
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      – SubjectFull: Models
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      – SubjectFull: Institutional Characteristics
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      – SubjectFull: Achievement Rating
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      – SubjectFull: Universities
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      – SubjectFull: College Students
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      – SubjectFull: Admission Criteria
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      – SubjectFull: Evaluation Criteria
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      – SubjectFull: India
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      – TitleFull: Educational Institutions Selection Using Analytic Hierarchy Process Based on National Institutional Ranking Framework (NIRF) Criteria
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