A Comprehensive Analysis on Effectiveness of Parameters in NIRF India Rankings 2023 for Top 100 Engineering Institutes

Ajit M. Hebbale, A.N. Parameswaran, Niranjan N. Chiplunkar, Shrinivasa Rao B.R
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Abstract

Abstract : The National Institutional Ranking Framework (NIRF), evaluates universities and institutions based on key parameters such as "Teaching, Learning, and Resources (TLR)," "Research and Professional Practices (RPP)," "Graduation Outcomes (GO)," "Outreach and Inclusivity (OI)," and "Perception (PR)." The study examines the top 100 Engineering institutes of NIRF 2023, focusing on their major parameter categories and their effectiveness in ranking processes. The study will be useful to the engineering institutes to clearly understand the areas of improvement and to have an action plan for better rankings. Descriptive statistics reveal that among five major categories RPP & PR and in the sub-parameters Financial Resources and their Utilisation (FRU), Footprint of Projects and Professional Practice (FPPP), Metric for Number of P h . D . S t u d e n t s G r a d u a t e d ( G P H D ) , a n d Economically and Socially Challenged Students (ESCS) have the lowest effectiveness among others, indicating their minimal contribution in the total score. Consequently, Institutes must focus on enhancing these parameters to enhance their total score and position in the NIRF rankings. The analysis of histograms and descriptive statistics reveals that 75% of ranked institutions score below 60% in RPP and PR parameters, indicating suboptimal performance in perception and research aspects. The study also highlights the importance of prioritizing efforts to improve RPP and PR scores to enhance the overall performance and rankings of engineering institutions in NIRF, as TLR, GO, and OI show relatively consistent performance. Keywords: NIRF 2023, TLR, RPP, GO, OI, PR, Descriptive statistics, Histogram.
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2023 年印度百强工程院校 NIRF 排名参数有效性综合分析
摘要 : 国家院校排名框架(NIRF)根据 "教学、学习与资源(TLR)"、"研究与专业实践(RPP)"、"毕业成果(GO)"、"外联与包容性(OI)"和 "认知(PR)"等关键参数对大学和院校进行评估。本研究考察了《2023 年国家高等教育指标框架》(NIRF)中排名前 100 位的工程学 院,重点关注其主要参数类别及其在排名过程中的有效性。这项研究将有助于各工科院校清楚地了解需要改进的地方,并制定行动计划以提高排名。描述性统计显示,在 RPP 和 PR 五个主要类别中,财务资源及其利用(FRU)、项目足迹 和专业实践(FPPP)、P h .D .在其他指标中,经济和社会问题学生(ESCS)的成效最低,表明它们对总分的贡献微乎其微。因此,各院校必须集中精力提高这些参数,以提高其总分和在国家教育改革与发展基金排名中的位置。对直方图和描述性统计的分析表明,75% 的排名院校在 RPP 和 PR 参数方面的得分低于 60%,表明其在认知和研究方面的表现不尽如人意。研究还强调了优先提高 RPP 和 PR 分数的重要性,以提高工科院校在 NIRF 中的整体表现和排名,因为 TLR、GO 和 OI 的表现相对稳定。关键词NIRF 2023、TLR、RPP、GO、OI、PR、描述性统计、直方图。
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122
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