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10008006
A Graph Theoretic Approach for Quantitative Evaluation of NAAC Accreditation Criteria for the Indian University
Abstract:
Estimation of the quality regarding higher education within a university is practically long drawn process besides being difficult to measure primarily due to lack of a standard scale. National Assessment and Accreditation Council (NAAC) evolved a methodology of assessment which involves self-appraisal by each university/college and an assessment of performance by an expert committee. The attributes involved in assessing a university may not be totally independent from each other thereby necessitating the consideration of interdependencies. The present study focuses on evaluation of assessment criteria using graph theoretic approach and fuzzy treatment of data collected from the students. The technique will provide a suitable platform to university management team to cross check assessment of education quality by considering interdependencies of the attributes using graph theory.
Digital Object Identifier (DOI):

References:

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[2] Stella, Antony: NAAC- A Decade of Dedication to Quality Assurance; The Director, NAAC Bangalore (2004).
[3] Prasad V.S: Accreditation Outcome-Emerging Issues for Policy Planning and Systematic Action (Based on the State-Wise Workshops on Analysis of Accreditation Repots of Karnataka, Kerala, Tamilnadu and Haryana); National Assessment and Accreditation Council, Bangalore (December 2004).
[4] Paul, M.C: University News: A weekly journal of Higher Education, AIU, New Delhi.(May 23-29, 2005).
[5] Goswami, Dulumoni: Higher Education in India- Growth Expansion Issues; DVS Publishers, Panbazar, Guwahati. (2011).
[6] Hou, A.Y.C. Mutual recognition of quality assurance decisions on higher education institutions in three regions: a lesson for Asia. Higher Education, 64(6), pp.911-926. (2012).
[7] Das, Monalisa, and Das, Subhrabaran. "Technical Efficiency of Higher Educational Institutions: A Study of Affiliated Degree Colleges of Barak Valley in Assam, India." J. Asian Dev. Stud. Vol. 3, no. 1, pp.66-76 (2014).
[8] NAAC, "Institutional Accreditation Manual for Self-Study Report Universities" Published by: National Assessment and Accreditation Council (NAAC) (March 2013).
[9] http://www.naac.gov.in/docs/NAAC_AAA_Note.pdf accessed on 7th May, 2017.
[10] Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making methods. In Fuzzy Multiple Attribute Decision Making (pp. 289-486). Springer Berlin Heidelberg.
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